Allgemein
Building Browser Extensions
This book is the definitive guide to building modern browser extensions, covering everything from fundamental concepts to advanced techniques.Developing a browser extension is more like building a mobile app than a traditional website. Extensions operate within a unique environment with their own security model, lifecycle, and APIs. This book demystifies the process, guiding you through every stage—from planning and development to publishing and maintaining your extension.You'll gain a deep understanding of how browser extensions function, their core architectural components, and best practices for structuring your code. The book also uncovers the nuances of extension development that many developers only discover through trial and error. By the end, you'll be equipped with the knowledge to confidently build, deploy, and scale a high-quality browser extension.YOU WILL LEARN:* The fundamental building blocks of browser extensions and how they interact with the browser* How to avoid common pitfalls that can lead to security vulnerabilities, performance issues, and rejections from extension marketplaces* To master the entire development lifecycle, from writing your first extension to publishing and maintaining it in the Chrome Web Store, Firefox Add-ons, and other repositories* How to build browser extensions using modern tools, languages, and frameworks* Best practices for extension networking, authentication, storage, and managementNEW FOR THIS EDITION:* Coverage of the latest browser extension APIs, including the side panel, offscreen documents, user scripts, and vendor-specifc APIs like the Chrome Prompt API.* Hands-on tutorials for building real-world extensions, including monetization strategies, AI assistants, password managers, ad blockers, and DevTools integrations* The latest tooling and frameworks for browser extension development, such as Vite, Extension.js, and WXTTHIS BOOK IS FOR:This book is ideal for developers looking to expand their expertise by building a browser extension—whether as a standalone product or as an extension to an existing web service. It’s also a great resource for teams integrating extension-based functionality into their SaaS platforms. Readers should have at least a basic understanding of HTML, CSS, and JavaScript.Chapter 1: What Are Browser Extensions?.- Chapter 2: Fundamental Elements of Browser Extensions.- Chapter 3: Browser Extension Crash Course.- Chapter 4: Browser Extension Architecture.- Chapter 5: The Extension Manifest.- Chapter 6: Background Scripts.- Chapter 7: Extension UIs.- Chapter 8: Content Scripts.- Chapter 9: Extension and Browser APIs.- Chapter 10: Permissions.- Chapter 11: Networking and Authentication.- Chapter 12: Tutorials.- Chapter 13: Extension Development and Deployment.- Chapter 14: Cross-Browser Extensions.- Chapter 15: Tooling and Frameworks.
Microsoft Fabric Analytics Engineer Associate Certification Companion
As organizations increasingly leverage Microsoft Fabric to unify their data engineering, analytics, and governance strategies, the role of the Fabric Analytics Engineer has become more crucial than ever. This book equips readers with the knowledge and hands-on skills required to excel in this domain and pass the DP-600 certification exam confidently.This book covers the entire certification syllabus with clarity and depth, beginning with an overview of Microsoft Fabric. You will gain an understanding of the platform’s architecture and how it integrates with data and AI workloads to provide a unified analytics solution. You will then delve into implementing a data warehouse in Microsoft Fabric, exploring techniques to ingest, transform, and store data efficiently. Next, you will learn how to work with semantic models in Microsoft Fabric, enabling them to create intuitive, meaningful data representations for visualization and reporting. Then, you will focus on administration and governance in Microsoft Fabric, emphasizing best practices for security, compliance, and efficient management of analytics solutions. Lastly, you will find detailed practice tests and exam strategies along with supplementary materials to reinforce key concepts.After reading the book, you will have the background and capability to learn the skills and concepts necessary both to pass the DP-600 exam and become a confident Fabric Analytics Engineer.WHAT YOU WILL LEARN* A complete understanding of all DP-600 certification exam objectives and requirements* Key concepts and terminology related to Microsoft Fabric Analytics* Step-by-step preparation for successfully passing the DP-600 certification exam* Insights into exam structure, question patterns, and strategies for tackling challenging sections* Confidence in demonstrating skills validated by the Microsoft Certified: Fabric Analytics Engineer Associate credentialWHO THIS BOOK IS FORData engineers, analysts, and professionals with some experience in data engineering or analytics, seeking to expand their knowledge of Microsoft FabricChapter 1: Exam Overview.- Chapter 2: Introduction to Microsoft Fabric- Chapter 3: Implement a Data Warehouse with Microsoft Fabric.- Chapter 4: Work with Semantic Models in Microsoft Fabric.- Chapter 5: Administer and Govern Microsoft Fabric.- Chapter 6: Practice Tests and Exam Strategies.- Annexure A:Key Concepts and Definitions.- Annexure B: Common Interview Questions and Answers.- Annexure C: Microsoft Fabric: Specific Keyboard Shortcuts.- Annexure D: Case Studies and Real-World Scenarios.- Annexure E: DAX and Power Query Cheat Sheet.
Basiswissen für Softwarearchitekten (6. Auflg.)
Basiswissen für Softwarearchitekten in der überarbeiteten und aktualisierten 6. Auflage aus dem Juli 2025.Softwarearchitektur bildet einen wesentlichen Erfolgsfaktor für Softwareprojekte. Sie stellt im Sinne einer systematischen Konstruktion sicher, dass Qualitätsanforderungen wie beispielsweise Erweiterbarkeit, Flexibilität, Performance oder Time-to-Market erfüllt werden können.Dieses Buch vermittelt das notwendige Wissen und die Fähigkeiten, um eine problemadäquate Softwarearchitektur für Systeme zu entwerfen.Es behandelt: wichtige Begriffe und Konzepte der Softwarearchitektur grundlegende Techniken und Methoden für den Entwurf und die Entwicklung die Beschreibung und Kommunikation sowie Qualitätssicherung von Softwarearchitekturen die Rolle, die Aufgaben und die Arbeitsumgebung von Softwarearchitektinnen und Softwarearchitekten Kategorien und Entscheidungskriterien für die Auswahl konkreter Werkzeuge Über das Autoren-Team:Mahbouba Gharbi ist Geschäftsführerin und Chef-Architektin bei ITech Progress GmbH und aktives Mitglied im iSAQB, ist bekennender Softwarearchitektur-Fan, Autorin zahlreicher Fachartikel und häufige Sprecherin auf internationalen Konferenzen. Prof. Dr. Arne Koschel ist Dozent an der Hochschule Hannover mit dem Schwerpunkt verteilte (Informations-)Systeme. Er hat langjährige industrielle Praxis in Entwicklung und Architektur verteilter Informationssysteme. Nebenberuflich berät und referiert er zu Themen wie SOA, Integration, Middleware, EDA und Cloud Computing. Er ist Active Board Member im iSAQB. Prof. Dr. Andreas Rausch leitet den Lehrstuhl für Software Systems Engineering an der Technischen Universität Clausthal. Er war und ist in der industriellen Praxis als Berater und leitender Softwarearchitekt bei einer Reihe von großen verteilten Softwaresystemen tätig. Dr. Gernot Starke, INNOQ Fellow, arbeitet als Berater für methodische Softwarearchitektur, Technologiemanagement und Projektorganisation. Seit mehr als 15 Jahren gestaltet er die Architektur von Softwaresystemen unterschiedlichster Größe.
Kommunikation in der Cyberkrise
Das Praxishandbuch: Gut durch die Cyberkrise – mit wirksamen KommunikationsstrategienComputergestützte Angriffe folgen eigenen Regeln und können nicht immer mit den gängigen Techniken der Krisenkommunikation bewältigt werdenDas Themenspektrum des Buchs reicht von ersten Maßnahmen bei einem akuten Cyberangriff über Social Media Monitoring und Reputationsmanagement bis zur Vorbereitung auf einen Angriff durch Krisenkommunikationspläne, Risikoanalysen und TrainingsFür Kommunikations- und PR-Profis, Unternehmensführung und Manager:innen, IT- und Sicherheitsexpert:innen, Krisenmanager:innen, Rechtsabteilungen, Compliance-OfficerIT-Kommunikatorin Isabelle Ewald und Incident-Response-Experte Prof. Alexander Schinner können auf weitreichende Erfahrungen in der Bewältigung von Cyberkrisen zurückgreifenDieses Praxishandbuch ist ein umfassender Leitfaden für die effektive Kommunikation vor, während und nach Cyberkrisen. Es zeigt Lösungswege für die spezifischen Herausforderungen bei computergestützten Angriffen und anderen technischen Störfällen. Isabelle Ewald und Alexander Schinner verfügen über weitreichende Erfahrung in der Bewältigung von Cyberkrisen. Sie vermitteln Ihnen fundiertes Grundwissen und konkrete Kommunikationsstrategien und geben Ihnen einen Notfallplan für Sofortmaßnahmen im Ernstfall an die Hand.Einstieg: Lesen Sie sich mit einer fiktiven Case Study und historischen Beispielen ins Thema ein.Background: Erfahren Sie, was eine Cyberkrise ausmacht und wie Sie kritische Vorfälle erkennen und bewerten. Informieren Sie sich über rechtliche und regulatorische Aspekte sowie über Meldepflichten.Erste Reaktion auf die Krise: Verwenden Sie im Ernstfall den 10-Punkte-Plan mit Handlungsempfehlungen, der auch den Aufbau eines Krisenstabs beschreibt.Prinzipien der Krisenkommunikation: Nutzen Sie erprobte Vorgehensweisen für die interne und externe Kommunikation, die Medienarbeit sowie für digitale Kanäle und Social Media. Verschaffen Sie sich einen Überblick über Strategien für Verhandlungen mit Angreifern.Vorbereitung: Analysieren Sie Risiken, erstellen Sie Bedrohungsmodellierungen und entwickeln Sie einen Krisenkommunikationsplan. Führen Sie Trainings und Simulationen anhand typischer Szenarien durch.Toolbox: Nutzen Sie die Checklisten und Vorlagen im Buch als Hilfestellung für die Praxis.
KI im Requirements Engineering
Der praktische Einstieg in KI-basiertes Requirements EngineeringPraktische Beispiele mit Prompts zur Anwendung von KI in der Praxis des REErfahrungen und Einblicke in den Einsatz von KI aus realen EntwicklungsprojektenPassend zum Buchinhalt aufbereitete elektronische Zusatzmaterialien auf der Online-Wissensplattform: Videos der Prompts, Erklärvideos zu spezifischen Aspekten sowie animierte InhalteDas Buch gibt einen praktischen Einstieg in das KI-basierte Requirements Engineering (RE). Es beschreibt,wie der Einsatz von KI die RE-Methoden systematisch bereichern kann, wo die Grenzen heutiger KI-Systeme liegen, wie das KI-System in den Unternehmenskontext eingebettet ist und welche Rolle der Mensch in einer KI-gestützten RE-Umgebung spielt.Dazu liefern die SOPHISTen ein theoretisches Fundament zu den vier Haupttätigkeiten des RE und fassen wichtige Grundlagen des RE zusammen. Darauf aufbauend wird die KI-basierte Anwendung der RE-Methoden an einem durchgängigen Beispiel eines Smart-Home-Systems beschrieben und die KI-generierten Ergebnisse werden bewertet. Das Spektrum reicht dabei von der Identifikation und Verwaltung von Anforderungsquellen über verschiedene Ermittlungstechniken bis hin zur Qualitätssicherung und Dokumentation der Anforderungen in textueller und modellbasierter Form.Neben der Anwendung von KI im RE werden aktuelle Herausforderungen bei der Integration der neuen Werkzeuge in die Systementwicklung, wie z.B. die Aus- und Weiterbildung von Mitarbeitern im Prompt Engineering oder das Thema Datenschutz, beleuchtet und mögliche Lösungsansätze diskutiert.Leseprobe (PDF-Link)
Nichtsequentielle und Verteilte Programmierung mit Go
Dieses Buch führt nach einem kurzen Kapitel über grundlegende Aspekte der Softwaretechnik und deren Realisierung in Go in die Nichtsequentielle und Verteilte Programmierung mit Go ein. Es stellt grundlegende Konzepte zur Synchronisation und Kommunikation nebenläufiger Prozesse systematisch dar. Dazu zählen unter anderem Schlösser, Semaphore, Fairness und Verklemmungen, Monitore, lokaler und netzweiter Botschaftenaustausch, Netzwerke als Graphen, Erkundung von Netzwerken, verteilte Tiefen- und Breitensuche und die Auswahl eines Leiters in Netzwerken. Um Lesern die Konzepte nahezubringen, greift der Autor klassische Beispiele auf. Das erleichtert das Lernen, denn die vorgestellten Konzepte lassen sich auf diese Weise besser mit den Sprachmitteln vergleichen. Die Algorithmen sind in der Programmiersprache Go formuliert, mit der sich zahlreiche Synchronisationskonzepte ausdrücken lassen. Go bietet aufgrund der einfachen Syntax außerdem den Vorteil, dass auch Leserinnen und Leser ohne Vorkenntnisse den grundlegenden Konzepten folgen können. In den Kapiteln zu Schlössern, Semaphoren, Monitoren und zum netzweiten Botschaftenaustausch werden darüber hinaus auch einige grundlegende Ansätze zur Programmierung in C und Java vorgestellt. Sämtliche Quelltexte sind online verfügbar.
CompTIA A+ Complete Practice Tests
PREPARE FOR THE UPDATED A+ CERTIFICATION EXAMS WITH HUNDREDS OF ACCURATE PRACTICE QUESTIONS FROM THE EXPERTS AT SYBEXThe fourth edition of the CompTIA A+ Complete Practice Tests: Core 1 Exam 220-1201 and Core 2 Exam 220-1202 offers hundreds of domain-by-domain practice questions specifically designed to give you the knowledge and confidence you need to succeed on both of the newly updated A+ certification exams. When combined with the included access to the Sybex online test bank and additional practice questions, this resource effectively measures and improves your readiness for this highly popular set of certification tests. The questions cover mobile devices, networking, hardware, virtualization and cloud computing, and hardware and network troubleshooting. They also test your knowledge of operating systems, security, software troubleshooting, and operational procedures. INSIDE THIS RESOURCE:* Complimentary access to the proven Sybex online test bank with additional practice questions* Complete coverage of 100% of every subject domain on the Core 1 and Core 2 A+ certification exams (220-1201 and 220-1202)* Accurate updates consistent with the latest version of the examCompTIA A+ Complete Practice Tests, fourth edition, is ideal for anyone preparing for the Core 1 220-1201 and Core 2 220-1202 exams. It will also prove invaluable to IT professionals seeking to hone or upgrade their skillset. ABOUT THE AUTHORAUDREY O’SHEA, A+, ITF+, PROJECT+, NETWORK+, SECURITY+, is a professional electronics and technology educator and consultant. She teaches courses in computer technology, electrical theory and practice for energy workers, general electronics, and other related fields. She is passionate about helping the next generation of students prepare for STEM careers and encouraging other women to enter the exciting world of Information Technology. Introduction XIIIPART I COMPTIA A+ CORE 1 EXAM 220-1201 1Chapter 1 Mobile Devices 3Chapter 2 Networking 21Chapter 3 Hardware 53Chapter 4 Virtualization and Cloud Computing 105Chapter 5 Hardware and Network Troubleshooting 117PART II COMPTIA A+ CORE 2 EXAM 220-1202 157Chapter 6 Operating Systems 159Chapter 7 Security 231Chapter 8 Software Troubleshooting 289Chapter 9 Operational Procedures 313Chapter 10 Practice Exam 1 (220-1201) 349Chapter 11 Practice Exam 2 (220-1202) 371Appendix Answers to the Review Questions 393Chapter 1: Mobile Devices 394Chapter 2: Networking 403Chapter 3: Hardware 425Chapter 4: Virtualization and Cloud Computing 452Chapter 5: Hardware and Network Troubleshooting 459Chapter 6: Operating Systems 483Chapter 7: Security 530Chapter 8: Software Troubleshooting 571Chapter 9: Operational Procedures 587Chapter 10: Practice Exam 1 (220-1201) 610Chapter 11: Practice Exam 2 (220-1202) 625Index 641
CompTIA A+ Complete Review Guide
PREPARE FOR THE NEW A+ CERTIFICATION EXAMS WITH THIS UPDATED COMPANION RESOURCE TO THE COMPTIA A+ COMPLETE STUDY GUIDEIn the sixth edition of CompTIA A+ Complete Review Guide: Core 1 Exam 220-1201 and Core 2 Exam 220-1202, A+ certified tech educator Troy McMillan offers a must-have companion resource to the CompTIA A+ Complete Study Guide. This book includes practical examples and insights drawn from the real-world experience of PC and hardware technicians, as well as A+ certification exam highlights and concise end-of-chapter reviews. This Review Guide gets you up-to-speed on mobile devices, networking, hardware, virtualization and cloud computing, and hardware and network troubleshooting. It also prepares you for the certification exam questions covering operating systems, security, software troubleshooting, and operational procedures. Using the explanations, practice questions (with included answers), and examples, you'll quickly and efficiently prepare for both the Core 1 and Core 2 A+ certification exams. ALSO INSIDE:* Accurate updates to each topic consistent with the latest version of the exams* Additional coverage of each of the objectives tested by the Core 1 and Core 2 A+ exams that expands on the material contained in the CompTIA A+ Complete Study Guide* Complimentary access to the Sybex interactive online learning environment, with practice questions, digital flashcards, and a searchable PDF glossary of key terminologyCompTIA A+ Complete Review Guide, sixth edition, is perfect for everyone preparing for the new A+ Core 1 and Core 2 certification exams (220-1201 and 220-1202). It's also an essential resource for IT professionals who want to upgrade or improve their skills. ABOUT THE AUTHORTROY MCMILLAN holds more than 30 IT certifications, including A+ and Network+. He is a Product Developer and Technical Editor for N2K.com and a full-time trainer, teaching Cisco, Microsoft, CompTIA, and Wireless classes.Introduction xxxiPART I COMPTIA A+ CORE 1 EXAM 220-1201 1Chapter 1 Mobile Devices 3Chapter 2 Networking 45Chapter 3 Hardware 95Chapter 4 Virtualization and Cloud Computing 183Chapter 5 Hardware and Network Troubleshooting 197PART II COMPTIA A+ CORE 2 EXAM 220-1202 241Chapter 6 Operating Systems 243Chapter 7 Security 417Chapter 8 Software Troubleshooting 515Chapter 9 Operational Procedures 545Appendix Answers to the Review Questions 607Index 627
Das ultimative Buch über Point & Click-Adventures
Point & Click-Adventures sind mehr als nostalgisches Rätseln – sie sind interaktive Erzählkunst.Dieses Buch beleuchtet das Genre aus gestalterischer, narrativer und medienkultureller Perspektive. Es verbindet persönliche Anekdoten mit fundierter Analyse, deckt Designprinzipien, historische Entwicklungen und aktuelle Remakes ab. Es zeigt so, wie Adventures Lernprozesse, Kreativität und kollaboratives Denken fördern können. Ein Standardwerk für alle, die sich professionell und / oder leidenschaftlich mit Games im allgemeinen und Point & Click-Adventures im Besonderen beschäftigen – ob in Entwicklung, Forschung, Lehre oder einfach aus Liebe zum Genre.Zum Inhalt: Einleitung Designprinzipien Wie Point & Click-Adventures funktionieren Eine kurze Geschichte der Point & Click-Adventures Lucasarts vs. Sierra On-Line Die Underdogs 2D oder 3D – Warum das Genre (fast) starb Escape Room vs. Point & Click-Adventure Weibliche Protagonisten in Point & Click-Adventures Vorher / Nachher – Remakes von Point & Click-Adventures Kurioses und Skurriles Die wichtigsten Point & Click-Adventures Zwischen Retro und Renaissance Glossar mit Begriffen rund um Point & Click-Adventures Ausführliches Inhaltsverzeichnis zum PDF-Download
Superconducting Qubit Design Using Qiskit Metal
Understand and implement superconducting Qubit Design using Qiskit Metal in the Quantum Computing environment. This book provides practical knowledge and step-by-step guidance on designing, analyzing, and fabricating quantum chips.The book begins with an introduction to the fundamentals of quantum computing, covering essential terms, concepts, and the history of quantum computers. It explores the differences between quantum and classical computers and provides an overview of superconducting qubits. Next, you will learn the theory and practical aspects of superconducting qubits. Detailed mathematical and computational analyses of different qubit types and circuits are provided, along with a comprehensive guide to creating quantum circuits using Qiskit and Qiskit Metal. You will learn to design quantum chips and analyze components such as Josephson junctions and qubit couplers, using advanced methods such as the Lumped Oscillator Model, Quasi-Lumped Oscillator Model, and Energy Participation Ratio Method. Finally, the book covers the fabrication of superconducting qubits, detailing the manufacturing process, requirements, and methods to address fabrication issues.After reading this book, you will be able to advance your understanding and skills in this cutting-edge field, making complex concepts accessible and providing a roadmap for practical application.WHAT YOU WILL LEARN* Install the Qiskit framework for creating basic quantum computing circuits* Create your first superconducting qubit chip from scratch* Formulate the back-end mathematical and computational model for the generated superconducting chips* Understand the Quasi-LOM (lumped oscillator model) and how it differs from the LOMWHO THIS BOOK IS FORQuantum computing professionals working with superconducting qubitsCHAPTER 1: Introduction: Superconducting Qubits and Their Realizations.- CHAPTER 2: Theory of Superconducting Qubits.- CHAPTER 3: Qiskit and Introduction to Qiskit Metal.- CHAPTER 4: Qiskit Metal and Introduction to Chip Design.- CHAPTER 5: Lumped Oscillator Model Analysis.- CHAPTER 6: Energy-Participation Ratio Method for Quantization and Analysis.- CHAPTER 7: Modelling the HamiltonianTransmon Qubit Cooper-Pair Box in the Charge Basis.- CHAPTER 8: Manufacturing: Fabrication and Packaging of Qubits.
AWS Certified Security Study Guide
A PRACTICAL AND COMPREHENSIVE GUIDE TO THE AWS CERTIFIED SECURITY EXAM AND YOUR NEXT AWS CLOUD SECURITY JOBIn the newly revised second edition of AWS Certified Security Study Guide: Specialty (SCS-C02) Exam, a team of veteran Amazon Web Services cloud security experts delivers a comprehensive roadmap to succeeding on the challenging AWS Certified Security Specialty certification exam. You'll prepare for the exam faster and smarter with authoritative content, an assessment test, real-world examples, practical exercises, and updated chapter review questions. You'll also acquire the on-the-job skills you need to hit the ground running in your next AWS cloud security position.This book offers complete coverage of every tested exam objective, including threat detection, incident response, security logging and monitoring, cloud infrastructure security, identity and access management (IAM), data protection, and management and security governance.It also includes:* Complimentary access to the hands-on, digital Sybex learning environment and test bank, with hundreds of practice questions, flashcards, and a glossary of important terminology, accessible from a wide variety of devices* All the material you need to conquer the difficult SCS-C02 exam on your first attempt* Quick reference material ideal for fast on-the-job use in any AWS cloud security-related roleAn up-to-date and essential study companion for anyone preparing to take the AWS Certified Security (SCS-C02) exam, this study guide is also ideal for aspiring and practicing AWS cloud security professionals seeking a refresher on critical knowledge you'll need every day at your current or next job.ABOUT THE AUTHORSMAURICIO MUÑOZ is a Senior Manager of a Specialist Solutions Architects team at AWS in Latin America. DARÍO GOLDFARB is a Security Solutions Architect at AWS in Latin America. ALEXANDRE M.S.P. MORAES is a Director of TelTec, a Brazilian systems integrator focused on network design, security architecture, and cloud computing. OMNER BARAJAS is a Security Specialist Solutions Architect at AWS in Mexico. He has more than 18 years of professional experience in IT. ANDRÉS GONZÁLEZ SANTOS is a Senior Security Architect at AWS in Latin America. ROGERIO KASA is a Senior Security Solutions Architect at AWS in Latin America. Introduction xxi Assessment Test xxviiChapter 1 Security Fundamentals 1Chapter 2 Cloud Security Principles and Frameworks 45Chapter 3 Management and Security Governance 67Chapter 4 Identity and Access Management 87Chapter 5 Security Logging and Monitoring 131Chapter 6 Infrastructure Protection 191Chapter 7 Data Protection 293Chapter 8 Threat Detection and Incident Response 385Appendix A Answers to Review Questions 431Appendix B Creating Your Security Journey in AWS 441Appendix C AWS Security Services Portfolio 449Appendix D DevSecOps in AWS 467Index 501
Textual Intelligence
THE BOOK IS A MUST-HAVE RESOURCE FOR ANYONE LOOKING TO UNDERSTAND THE COMPLEXITIES OF GENERATIVE AI, OFFERING COMPREHENSIVE INSIGHTS INTO LLMS, EFFECTIVE TRAINING STRATEGIES, AND PRACTICAL APPLICATIONS.Textual Intelligence: Large Language Models and Their Real-World Applications provides an overview of generative AI and its multifaceted applications, as well as the significance and potential of Large Language Models (LLMs), including GPT and LLaMA. It addresses the generative AI project lifecycle, challenges in existing data architectures, proposed use case planning and scope definition, model deployment, and application integration. Training LLMs, data requirements for effective LLM training, pre-training and fine-tuning processes, and navigating computational resources and infrastructure are also discussed. The volume delves into in-context learning and prompt engineering, offering strategies for crafting effective prompts, techniques for controlling model behavior and output quality, and best practices for prompt engineering. Textual Intelligence: Large Language Models and Their Real-World Applications also discusses cost optimization strategies for LLM training, aligning models to human values, optimizing model architectures, the power of transfer learning and fine-tuning, instruction fine-tuning for precision, and parameter-efficient fine-tuning (PEFT) with adapters such as LoRA, QLoRA, and soft prompts, making it an essential guide for both beginners and industry veterans. Readers will find this book:* Explores the real-world potential of large language models;* Introduces industry-changing AI solutions;* Provides advanced insights on AI and its models.AUDIENCEIndustry professionals, academics, graduate students, and researchers seeking real-world solutions using generative AI. MEENAKSHI MALIK, PHD is an assistant professor at BML Munjal University, India, with over 12 years of experience. She earned her computer science and engineering doctorate at Maharshi Dayanand University, Rohtak, in December 2023 and was honored by the Vice President for her exceptional PhD research. Her research interests include artificial intelligence, machine learning, deep learning, and big data. PREETI SHARMA, PHD is a faculty member at Chitkara University, Punjab, India. She is the author or co-author of over 12 publications in national and international journals and conferences. Dr. Sharma’s research interests include extensive work in blockchain and its diverse applications, as well as artificial intelligence and machine learning. SUSHEELA HOODA, PHD is an associate professor in the Department of Computer Science and Engineering, Chitkara University, Punjab, India. She has published over 30 technical research papers in national and international journals and conferences. Her research interests include software engineering, aspect-oriented software development, software testing, cloud computing, artificial intelligence, and machine learning.
Automated Machine Learning and Industrial Applications
THE BOOK PROVIDES A COMPREHENSIVE UNDERSTANDING OF AUTOMATED MACHINE LEARNING’S TRANSFORMATIVE POTENTIAL ACROSS VARIOUS INDUSTRIES, EMPOWERING USERS TO SEAMLESSLY IMPLEMENT ADVANCED MACHINE LEARNING SOLUTIONS WITHOUT NEEDING EXTENSIVE EXPERTISE.Automated Machine Learning (AutoML) is a process to automate the responsibilities of machine learning concepts for real-world problems. The AutoML process is comprised of all steps, beginning with a raw dataset and concluding with the construction of a machine learning model for deployment. The purpose of AutoML is to allow non-experts to work with machine learning models and techniques without requiring much knowledge in machine learning. This advancement enables data scientists to produce the easiest solutions and most accurate results within a short timeframe, allowing them to outperform normal machine learning models. Meta-learning, neural network architecture, and hyperparameter optimization, are applied based on AutoML. Automated Machine Learning and Industrial Applications offers an overview of the basic architecture, evolution, and applications of AutoML. Potential applications in healthcare, banking, agriculture, aerospace, and security are discussed in terms of their frameworks, implementation, and evaluation. This book also explores the AutoML ecosystem, its integration with blockchain, and various open-source tools available on the AutoML platform. It serves as a practical guide for engineers and data scientists, offering valuable insights for decision-makers looking to integrate machine learning into their workflows. Readers will find the book:* Aims to explore current trends such as augmented reality, virtual reality, blockchain, open-source platforms, and Industry 4.0;* Serves as an effective guide for professionals, researchers, industrialists, data scientists, and application developers; * Explores technologies such as IoT, blockchain, artificial intelligence, and robotics, serving as a core guide for undergraduate and postgraduate students.AUDIENCEData and computer scientists, research scholars, professionals, and industrialists interested in technology for Industry 4.0 applications. E. GANGADEVI, PHD is an assistant professor in the Department of Computer Science at Loyola College, Chennai, India. She has published two patents, six books, over 18 research papers in international journals, and many book chapters. Her areas of research are machine learning, deep learning, IoT, and cloud computing. M. LAWANYA SHRI, PHD is an associate professor in the School of Information Technology and Engineering at Vellore Institute of Technology, India. She has published two books, two patents, and over 50 articles and papers in refereed journals and international conferences. Her research interests include blockchain technology, machine learning, cloud computing, and IOT. BALAMURUGAN BALUSAMY, PHD is an associate dean at Shiv Nadar University, Delhi, India with over 12 years of teaching experience. He has published more than 200 papers in international journals, 80 books, and given over 195 talks at various international events and symposia. His contributions focus on engineering education, blockchain, and data sciences. RAJESH KUMAR DHANARAJ, PHD is a professor in the School of Computing Science and Engineering at Symbiosis University, Pune, India. He has contributed to over 25 books on various technologies, 21 patents, and 53 articles and papers in various refereed journals and conferences. His research interests include machine learning, cyber-physical systems, and wireless sensor networks.
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence
Handbook of Intelligent Automation Systems Using Computer Vision and Artificial Intelligence offers a corpus on intelligent automation systems using computer vision and AI. This book will cover everything from foundational concepts to real-world applications and ethical considerations. The book covers the major role, current trends, challenges, and possible solutions to existing challenges. With the knowledgeable insights of this book, readers gain actionable knowledge with case studies and the integration of various techniques, like facial recognition and natural language processing.This book contains 22 chapters on intelligent automation systems. The first section presents the study of intelligent automation systems, driven by artificial intelligence. This section further presents studies on the automation system and optimizing data flow management using AI algorithms. The second section provides a study of computer vision and how these systems automate tasks, like object recognition, image classification, and scene understanding. In addition, this section also explores the rapid advancements in computer vision and image processing and provides surveys on how AI enhances mental health services and patient outcomes. The third section explores the interconnection between neuroscience and artificial intelligence. Furthermore, this section provides studies of neural connections and how neuroscience aids in improving learning methods and validating AI modelsRupali Gill, Ph.D., is a professor and dean at Chitkara University Institute of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She is a distinguished researcher in image processing, cloud computing, artificial intelligence, and machine learning. She has published over 47 technical research papers in leading journals and conferences. Dr. Gill has also organized international conferences and published patents.Susheela Hooda, Ph.D., is an associate professor and head (academic delivery), Chitkara University of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. She researches areas in software engineering, aspect-oriented software development, software testing, cloud computing, etc. She has published over thirty technical research papers in leading journals and conferences. She has published more than 10 national and international patents.Durgesh Srivastava, Ph.D., is a professor and head (academic operations), Chitkara University of Engineering & Technology, Chitkara University, Rajpura, Punjab, India. He is an enthusiastic and motivating technocrat who has organized and attended various workshops during his 15+ teaching career. His research interests include machine learning, soft computing, pattern recognition, software engineering, modeling, design, etc. He has published over 30 papers in reputed international/national journals and conferences/seminars. He has published several patents and copyrights in the field of computer software.Shilpi Harnal, Ph.D., is an associate professor at Chandigarh University, Punjab, India. She specializes in cloud computing. She has also worked on fog computing, underwater wireless sensor networks, artificial intelligence, etc. Dr. Harnal has published around 34 research papers in various international/national peer-reviewed journals, books, and conferences with 24 Scopus-indexed publications
Privileged Access Management
Zero trust is a strategy that identifies critical, high-risk resources and greatly reduces the risk of a breach. Zero trust accomplishes this by leveraging key tools, technologies, and governance around Privileged Access Management (PAM). These identities and accounts that have elevated access are the key targets of the bad actors and nearly every event, breach, or incident that occurs is the result of a privileged account being broken into.Many organizations struggle to control these elevated accounts, what tools to pick, how to implement them correctly, and implement proper governance to ensure success in their zero trust strategy. This book defines a strategy for zero trust success that includes a privileged access strategy with key tactical decisions and actions to guarantee victory in the never-ending war against the bad actors.What You Will Learn:* The foundations of Zero Trust security and Privileged Access Management.* Tie-ins to the ZT strategy and discussions about successful implementation with strategy and governance.* How to assess your security landscape including current state, risk-based gaps, tool and technology selection, and assessment output.* A step-by-step strategy for Implementation, including planning, execution, governance, and root-cause analysis.Who This Book is for:* C-level suite: not designed to be overly technical, but cover material enough to allow this level to be conversant in strategy and leadership needs to success.* Director-level in Cyber and IT: this level of personnel are above the individual contributors (IC) and require the information in this book to translate the strategy goals set by C-suite and the tactics required for the ICs to implement and govern.* GRC leaders and staff.* Individual Contributors: while not designed to be a technical manual for engineering staff, it does provide a Rosetta Stone for themto understand how important strategy and governance are to their success. Chapter 1: Privileged Access Management: The Essentials- Chapter 2: Zero Trust: Origins and Evolutions.- Chapter 3: Assessments and Solutions.- Chapter 4: PAM Governance.- Chapter 5: Blueprint for Successfull Implementation.- Chapter 6: Conclusion.
Modern Django Web Development
Django has evolved into a powerful full-stack framework ideal for developing data-driven web applications, continuously expanding with new tools for asynchronous solutions, APIs, and real-time applications. This book explores modern Django development best practices, including Django Channels for WebSockets, Django REST Framework (DRF) for REST APIs, Graphene and Strawberry for GraphQL APIs, and integrating a front-end built with React The content is structured into two main parts, covering both fundamental and advanced concepts in a practical and digestible manner.The first part introduces Django's core concepts, starting with an overview of web development and Python’s asyncio module for asynchronous processing. It then walks you through Django installation, project setup, and the admin interface. The Model-View-Template (MVT) architecture is explained in depth, with chapters on models, views, and templates, illustrating real-world examples. Additionally, it covers database interactions, introducing SQLAlchemy ORM and MongoDB integration to extend Django’s capabilities beyond its default ORM.The second part delves into advanced Django features and the broader ecosystem. Topics include authentication, security, messaging, and reusable apps such as the Django toolbar. REST API development with Django REST Framework is explored, followed by an introduction to building GraphQL APIs using Graphene and Strawberry. A dedicated chapter covers Django Channels and the WebSocket protocol for real-time applications. _Modern Django Web Development _concludes with integrating React to develop front-end clients for Django-based REST, GraphQL, and WebSocket APIs, enabling a full-stack development experience.YOU WILL:* Explore the full spectrum of modern Django development* Learn how to use SQLAlchemy MongoDB with Django* Understand Django Channels for asynchronous web apps* Explore DRF for building REST API in Django* Learn how to build GraphQL API with Graphene and Strawberry* Understand how to develop a Django-React appWHO IS IT FOR:Software developers, web developers and engineers who are interested in adding Django to their development skillset. Python Developers can also leverage the power of modern Django with the help of this practical guide.Chapter 1: Django Basics.- Chapter 2: Django- First Steps.- Chapter 3: Django ORM.- Chapter 4: Django Templates.- Chapter 5: Django using Databases.- Chapter 6: Advanced Django.- Chapter 7: Restful Django.- Chapter 8: GraphQL Django.- Chapter 9: Django Channels.- Chapter 10: ReactJS with Django.
Machine Learning
Dieses Buch richtet sich an alle, welche die enormen Potenziale maschinellen Lernens für wissenschaftliche Fragestellungen und innovative Ansätze in Studium oder Beruf nutzen möchten. Denn maschinelles Lernen eröffnet neue Möglichkeiten zum effizienten Umgang mit umfassenden, komplex strukturierten und sich schnell entwickelnden Daten. Zunächst werden Grundideen und typische Anwendungsfelder maschinellen Lernens sowie dessen Vorzüge gegenüber inferenzstatistischen Verfahren erläutert. Daran schließen praktische Hinweise dazu an, wie Daten für maschinelle Lernprozesse aufbereitet werden und wie diese durch Anpassung verschiedener Parameter möglichst optimale Ergebnisse erzielen können. Von den hierzu einsetzbaren Modellen werden die gängigsten theoretisch und anhand anschaulicher Beispiele vorgestellt. Auch auf verschiedene Optionen zur besseren Interpretierbarkeit sowie auf spezifische Limitationen von Analyseresultaten wird eingegangen. Weiterführende Anwendungsfälle und verständlich kommentierte Analysecodes sind auf dem GitHub-Repositorium zu diesem Buch auf SpringerLink online verfügbar.
Narrative SQL
This book addresses an important gap in data analytics education: the interplay between complex query-making and storytelling. While many resources cover the fundamentals of SQL queries and the technical skills required to manipulate data, few also explore moving beyond the numbers and figures to tell stories that drive strategic business decisions. By weaving together both SQL and narrative mechanics, author Hamed Tabrizchi has assembled a powerful tool for data analysts, aspiring database professionals, and business intelligence specialists.A strong foundation is laid in the first part of the book, which examines the technical skills necessary to access and manipulate data. You’ll explore foundational SQL commands, advanced querying techniques, data manipulation, data integrity, and optimization of queries for performance. The second half moves from the "how" of SQL to the "why," examining the meaning-making practices we can apply to data, and the stories data can tell. You'll learn how SQL queries can be interpreted, how to prepare data for visualization, and most importantly, how to convey the findings in a way that engages and informs the audience. In each chapter, practical exercises reinforce the techniques learned and help you apply them in real-world situations. In addition to strengthening technical skills, these exercises encourage readers to take a critical view of the data they are studying, considering the larger story it represents.Upon completing this book, you will not only be proficient in SQL, but also possess the key skill of converting data into narratives that can influence strategic direction and operational decisions in the modern workplace.WHAT YOU WILL LEARN* Advanced SQL Techniques: Master data manipulation and retrieval skills using advanced SQL queries* Data Analysis Proficiency: Develop analytical skills to uncover key insights and understand significant data patterns* Storytelling with Data: Learn to translate data analytics into compelling narratives for effective stakeholder communication* Complex Querying Skills: Understand advanced SQL concepts such as common table expressions (CTEs), subqueries, and window functions* Query Optimization: Optimize query execution time, resource usage, and scalability by mastering Indexes and Views* Practical Application of Techniques: Gain hands-on experience with practical examples of advanced SQL techniques in real-world data analysis scenarios* Effective Data Presentation: Discover strategies for visually presenting data stories to enhance engagement and understanding among diverse audiencesWHO THIS BOOK IS FORData analysts and business analysts, SQL developers, data-driven managers and executives and academics and students looking to enhance advanced querying and narrative building skills to better interpret and convey data.Chapter 1: The Storyteller’s Database.- Chapter 2: Starting with SELECT.- Chapter 3: Filtering Facts with WHERE.- Chapter 4: Complex Characters with JOINS.- Chapter 5: Aggregating Acts.- Chapter 6: Ordering the Plot with ORDER BY and LIMIT.- Chapter 7: Dynamic Dialogues with Subqueries.- Chapter 8: Conditional Logic in Data Plotting. Chapter 9: Optimizing Your Script with Indexes and Views.- Chapter 10: Analytics Alchemy: Turning Data into Gold.- Chapter 11: The Grand Finale: Presenting Your Data Story.- Appendix A: SQL Syntax Reference Guide.- Appendix B: Glossary of Terms.- Appendix C: PostgreSQL Elements Reference.
Building AI Agents with LLMs, RAG, and Knowledge Graphs
This AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together. By the end of this book, you’ll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.
Next Generation Data Science and Blockchain Technology for Industry 5.0
A GROUNDBREAKING VIEW OF THE INDUSTRIAL MODELS OF THE FUTUREIndustry 5.0 is an increasingly widespread term for the coming business paradigm, which will combine humans, robotics, and smart technology to create the industrial processes of the future. Technological innovations like smart factories, networked processes, data science, blockchain, and more will be combined to revolutionize industry and drive innovation at an unprecedented pace. Next Generation Data Science and Blockchain Technology for Industry 5.0 offers an overview of these most important questions, their early answers, and the most promising paths forward. Incorporating practical case studies grounded in real-world data, the book emphasizes a hands-on approach combining numerous analytical tools. With a broad view of the historical role of industrial revolutions and a cutting-edge grasp of the key technologies, this book is an indispensable window into the future of business. Next Generation Data Science and Blockchain Technology for Industry 5.0 readers will also find:* Incorporation of tools including statistical analysis, machine learning, graph analysis, and more* Detailed treatment of cutting-edge technologies like additive manufacture (3D printing), edge computing, and many others* Self-assessment tools to facilitate understandingNext Generation Data Science and Blockchain Technology for Industry 5.0 is ideal for academics, researchers, and advanced students in computer science and computer technology, as well as professionals and researchers working in data science or any other area of industrial technology. AMIT KUMAR TYAGI, PHD, is Assistant Professor in the Department of Fashion Technology, National Institute of Fashion Technology, New Delhi, India. He has published widely on blockchain, deep learning, artificial intelligence, and other cutting-edge technologies and their industrial applications.
Artificial Intelligence in Healthcare for the Elderly
Artificial Intelligence in Healthcare for the Elderly provides valuable insights into how artificial intelligence can transform healthcare through personalized monitoring, ethical considerations, and real-world applications. Artificial intelligence has the potential to revolutionize healthcare for the elderly by providing efficient and personalized monitoring and care. Though this technology has the potential to revolutionize care, there is currently little information on the potential of this technology in elderly healthcare. Artificial Intelligence in Healthcare for the Elderly explores AI algorithms that can transform health monitoring for older adults by analyzing data from wearable devices, electronic health records, and other sources that provide real-time data analysis, detect early warning signs of diseases, and offer personalized treatment. This book addresses the critical ethical, societal, and practical aspects of elderly care that are often overlooked with insights from various disciplines, including healthcare, technology, ethics, and sociology, to offer a holistic perspective on AI’s impact on aging. Artificial Intelligence in Healthcare for the Elderly offers an all-encompassing perspective on AI technologies employed in elderly healthcare by examining the specific types of technology used and delineating its role in elderly healthcare, drawing insights from existing research and case studies. SANDEEP SHARMA, PHD is an assistant professor in Bharati Vidyapeeth’s College of Engineering. He has published more than 15 research papers in reputed journals and one patent. His main area of focus is the use of heuristic techniques for finding the optimal parameters of FACTS devices in power systems. PREETI NAGRATH, PHD is an associate professor in Bharati Vidyapeeth’s College of Engineering with more than 20 years of academic experience. She has published over 80 research papers in international journals and international conferences, four books, and two patents. His research interests include network security, delay-tolerant networks, machine learning, and deep learning. BHAWNA SINGLA, PHD is a professor in the Computer Science and Engineering Department at the Panipat Institute of Engineering and Technology. She has published two edited books, three patents, and 30 research articles in international journals and conferences. His research interests include artificial intelligence, machine learning, data science, and networking JOEL J.P.C. RODRIGUES is a professor in the College of Computer Science and Technology at the China University of Petroleum, a senior researcher at the Instituto de Telecomunicações in Portugal, and a collaborator for the post-graduation program on teleinformatics engineering at the Federal University of Ceará in Brazil. He has authored and co-authored over 950 papers in refereed international journals and conferences, three books, and two patents. His research interests include sensor networks, Internet of Things, eHealth, vehicular networks, and cloud computing.
Blockchain in Health Sciences
THE BOOK PROVIDES A COMPREHENSIVE UNDERSTANDING OF HOW BLOCKCHAIN TECHNOLOGY CAN REVOLUTIONIZE HEALTHCARE BY IMPROVING PATIENT OUTCOMES, ENHANCING DATA PRIVACY, AND DRIVING INNOVATIVE SOLUTIONS TO INDUSTRY CHALLENGES.Blockchain in Health Sciences is an essential roadmap for navigating the complex landscape of blockchain technology in healthcare. From foundational concepts to real-world applications, this book empowers understanding to harness the potential of blockchain to improve patient outcomes, enhance data privacy, and optimize healthcare delivery. Delve into the integration of blockchain with the Internet of Things and AI to uncover groundbreaking solutions for challenges faced by the healthcare industry. Gain insights into the regulatory and ethical implications of blockchain in healthcare, ensuring responsible and effective implementation. Each chapter unveils the current uses of blockchain in drug discovery, drug and device tracking, real-world data collection, and increased patient engagement, used to unlock opportunities to advance health sciences research. This book is an essential guide for readers exploring opportunities to empower and enable data in health science research. Readers will find the volume:* Introduces the fundamentals of blockchain and its integration with IoT in healthcare;* Provides practical applications across patient records, drug supply chains, and genomics research;* Explores the synergy of AI, IoT, and blockchain for unprecedented healthcare advancements.AUDIENCEHealthcare professionals, researchers, policymakers, IT experts, and anyone interested in the future of healthcare. ARYAN CHAUDHARY is the Chief Scientific Advisor, BioTech Sphere Research, India. He has published academic papers on public and digital health in international journals and participated as a keynote speaker in many national and international conferences. His research includes the integration of Internet of Things and sensor technology for gathering vital signs through ambulatory monitoring, the functionality of artificial intelligence, machine learning for big data analytics for faster intervention, and tracking of prognosis and research for effective clinical research for the future development of treatments, drugs, pathological tests, and the supply system. RASHMI SINGH, PHD is a professor and placement coordinator at the Amity Institute of Applied Sciences with over 20 years of experience. She has published two books, 40 patents, and 18 articles in national and international journals of repute. Her research interests include fuzzy, soft, and rough set theory, near structures, and mathematics in artificial intelligence and machine learning. GAURAV AGARWAL, PHD is an associate professor and program chair in the School of Computer Science and Engineering at Galgotias University with over 20 years of teaching experience. He has published ten articles in international journals and conferences and eight patents. His research interests include web usability and accessibility, deep learning, machine learning, and large language models.
Leading The Shift
Leading the Shift: Enhancing Operational Efficiency With AI is a groundbreaking, experience-led guide for education leaders seeking to harness the power of artificial intelligence to drive meaningful transformation in their institutions. Written by Chris Loveday-a Vice Principal who led a sector-first AI implementation in a Sixth Form College, this book reframes AI not as a buzzword, but as a powerful tool for solving real, immediate operational challenges in education.While AI headlines often focus on classroom disruption or futuristic teaching tools, Loveday directs attention to where the greatest and most urgent gains can be made: in the back office. From automating data-heavy processes to reducing staff workload and improving service delivery, the book shows how AI, when applied thoughtfully, can create capacity, reduce pressure, and enhance outcomes for staff and students alike.Blending strategic insight with practical application, Leading the Shift walks readers through the entire implementation journey, from initial leadership buy-in and cultural groundwork to the development of bespoke AI agents and scaled deployment. It draws on established change models such as Burke-Litwin, Kotter, ADKAR, and Lewin's, integrating these frameworks with lived experience to demonstrate how to lead responsibly in a time of rapid technological advancement.Key features include:Real-World Case Studies: Learn how one college saved hundreds of hours through in-house AI agents built to automate results processing, ID verification, and student support.Ethical and Inclusive Design: Discover how to implement AI solutions that are safe, GDPR-compliant, and built around staff and student wellbeing.Strategic Leadership Tools: Use reflection questions, audit templates, and planning frameworks to inform your own AI roadmap.Customisation Over Commercialisation: Understand why building your own AI agents in-house can provide better value, flexibility, and control than off-the-shelf tools.Culture as Catalyst: Explore how digital trust, psychological safety, and inclusive communication are essential for sustainable innovation.This is not a technical manual or speculative vision. It's a leadership resource for education professionals, school business managers, senior leaders, MAT executives, governors, and policymakers, who want to act decisively and ethically in the face of emerging technology.Whether you're just starting your AI journey or seeking to scale an existing digital strategy, Leading the Shift offers clarity, courage, and a deeply practical blueprint. It's a must-read for anyone who believes that education can, and must, work smarter, not harder, in the age of intelligent automation.Join Chris Loveday in shaping the future of education, one intentional, values-led decision at a time.
Ethical Decision-Making Using Artificial Intelligence
Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications gives invaluable insights into the ethical complexities of artificial intelligence, empowering the navigation of critical decisions that shape our future in an era where AI’s influence on society is rapidly expanding. The significant impact of artificial intelligence on society cannot be overstated in a time of lightning-fast technical development and growing integration of AI into our daily lives. A new frontier of human potential has emerged with the development and application of AI technologies, pushing the limits of what is possible in the areas of innovation and efficiency. AI systems are increasingly trusted with complicated decisions that affect our security, well-being, and the fundamental foundation of our societies as they develop in intelligence and autonomy. These choices have substantial repercussions for both individuals and communities in a wide range of fields, including healthcare, finance, criminal justice, and transportation. The necessity for moral direction and deliberate decision-making procedures is critical as AI systems develop and become more independent. Ethical Decision-Making Using Artificial Intelligence: Challenges, Solutions, and Applications examines the complex relationship between artificial intelligence and the moral principles that guide its application. This book addresses fundamental concerns surrounding AI ethics, namely what moral standards ought to direct the creation and use of AI systems. In order to promote responsible AI development that is consistent with human values and goals, this book’s goal is to equip readers with the knowledge and skills they need to traverse the ethical landscape of AI decision-making. SAPNA JUNEJA, PHD is a professor and Associate Dean of Research and Development in the Department of Computer Science and Engineering with the KIET Group of Institutions, with over 17 years of experience. She has published six patents and various research articles in renowned journals. Her research interests include software engineering, computer networks, operating systems, database management systems, and artificial intelligence. RAJESH KUMAR DHANARAJ, PHD is a professor at Symbiosis International University. He has authored and edited over 50 books, numerous book chapters, and over 100 articles in refereed international journals, in addition to 21 patents. His research interests include machine learning, cyber-physical systems, and wireless sensor networks. ABHINAV JUNEJA, PHD is a professor and the Head of the Department of Computer Science and Information Technology with the KIET Group of Institutions, with over 21 years of teaching experience. He has edited two books and has over 55 publications in books, journals, and conferences. His research focuses on machine learning and Internet of Things. MALATHY SATHYAMOORTHY, PHD is an assistant professor in the Department of Information Technology at the KPR Institute of Engineering and Technology. She has published over 25 research papers in international journals. 22 papers in international conferences, two patents, four book chapters, and one book. His research interests include wireless sensor networks, networking, security, and machine learning. ASADULLAH SHAIKH, PHD is a professor, the Head of Research and Graduate Studies, and the coordinator for seminars and training with the College of Computer Science and Information Systems, at Najran University. He has over 170 publications in international journals and conferences. His research interests include Unified Modeling Language model verification and class diagrams verification with Object Constraint Language constraints for complex models, formal verification, and feedback techniques for unsatisfiable UML and OCL class diagrams.