Science, Engineering Management and Information Technology
The two-volume set CCIS 2651 + 2652 constitutes the proceedings of the 5th International Conference on Science, Engineering Management and Information Technology, SEMIT 2025, held in Dubai, UAE, during September 11-13, 2025. The 35 full papers and 4 short papers included in the proceedings were carefully reviewed and selected from 221 submissions. They were organized in topical sections as follows: AI in Public Services & Industry; Educational Technology & E-Learning; Smart Manufacturing & Industry 4.0; Smart Cities & Urban Innovation; Digital Governance & Transformation; Sustainable & Circular Decision-Making; and Computational Intelligence and Data Privacy in Healthcare, IT, and Public Services.
Generative AI and Large Language Models: Opportunities, Challenges, and Applications
This book provides a comprehensive exploration of the transformative impact of AI technologies across diverse fields. From revolutionizing healthcare diagnostics and advancing natural language processing for low-resource languages to enhancing software development and promoting environmental sustainability, this book explores the cutting-edge advancements and practical applications of generative AI and large language models (LLMs). With a focus on both opportunities and challenges, the book examines the architectural challenges of transformer-based models, the ethical implications of AI, and the importance of language-specific adaptations, particularly for low-resource languages like Arabic. It also highlights the role of AI in code development, multimodal applications, and its integration with intellectual property frameworks. This book is an essential resource for researchers, practitioners, and policymakers seeking to understand and harness the potential of AI to drive innovation and global progress.
Intelligent Systems and Applications
The 11th Intelligent Systems Conference (IntelliSys) 2025, held in Amsterdam, The Netherlands, from 28-29 August 2025, brought together researchers, practitioners, and experts from around the world to share advancements in intelligent technologies. Conducted in a hybrid format, the conference facilitated global collaboration and participation.This volume presents a curated selection of 169 peer-reviewed papers from a total of 470 submissions, covering key areas such as Artificial Intelligence, Computer Vision, Robotics, and Intelligent Systems. The contributions reflect the latest research trends, practical applications, and emerging challenges in these domains.We hope that these proceedings serve as a valuable resource for researchers, practitioners, and students, and that they inspire future work and collaborations in the field of intelligent systems.
UX Intelligence, AI Powered Research & Strategy
UX Intelligence, AI Powered Research & Strategy: Harnessing the Power of Artificial Intelligence for Impactful Scalable UX offers a unique approach to the evolution of UX research. We are living in an age where technology-particularly artificial intelligence-offers unprecedented opportunities to enhance our research processes. From automating data analysis to conducting sentiment analysis on a massive scale, AI is reshaping the way we gather and interpret user data. This book doesn't shy away from these advancements; instead, it shows you how to harness these new tools while maintaining the core values of empathy and user-centered design.
The Ethics, Psychology, and Theology of AI
This book explores the profound impact of Artificial Intelligence Psychology (AIPsy) on human psychology, identity, theology, and agency, addressing the urgent need to define the future of humanity amidst evolving technological landscapes.The book challenges traditional notions of human uniqueness and agency, contemplating the transformative potential of a technological singularity where AI may surpass human intelligence, rendering civilization obsolete. Divided into four sections, it covers the psychological implications of AI on human cognition and behaviour, analyses theological perspectives on AI, re-examines agency and identity in the age of AI, and fosters a multidisciplinary dialogue synthesizing insights from psychology, theology, ethics, philosophy, computer science, and sociology. Key chapters explore human-AI interaction, trust in AI, and the emerging field of Artificial Intelligent Machine Psychology (AIPsy), alongside theological dilemmas, divine intelligence, moral responsibility, and the legal rights of creative intelligent machines.Positioned as a critical resource for scholars, researchers, theologians, ethicists, psychologists, and policymakers, the book aims to deepen our understanding of the complex relationship between humanity and AI, guiding informed decisions and ethical considerations in the transformative era of AI.
Computational Science and Computational Intelligence
This CCIS book constitutes selected papers accepted in the Research Track on Smart Cities and Smart Mobility and the Research Track on Software Engineering of the 11th International Conference on Computational Science and Computational Intelligence, CSCI 2024, which took place in Las Vegas, NV, USA, during December 11-13, 2024. The Research Track on Smart Cities and Smart Mobility, CSCI-RTSC, received 75 submissions of which 15 papers were accepted. For the Research Track on Software Engineering, CSCI-RTSE, 13 papers were accepted from 58 submissions, 12 of these are included in this volume. They were organized in topical sections on Infrastructures: Smart Cities, Tools, and Utilities; Smart Cities and Smart Mobility; Software Engineering; and ongoing research projects.
Work Integrated Learning-Directions for the Future
This book delves into the comprehensive domain of work-integrated learning, presenting a collection of insights and research on diverse aspects that shape its landscape. With a keen focus on international perspectives and innovative approaches, this book aims to foster a deeper understanding of the intersection between academia and industry. This book presents a comprehensive and forward-thinking exploration of work-integrated learning, blending international perspectives, innovative pedagogies, digital transformations, AI leverage, and a focus on the future workforce. It involves sharing research findings and innovative ideas, as well as discussing challenges and practical solutions in the field of Work Integrated Learning.
Artificial Intelligence in Legal Systems
This book presents a comprehensive analysis of the transformative impact of artificial intelligence (AI) across legal frameworks within the European Union and beyond. It illustrates both the promising benefits of AI in improving access to justice and the significant challenges that necessitate thoughtful regulatory frameworks and interdisciplinary cooperation.It highlights the expansive applications of AI, ranging from case management to predictive analytics, while also scrutinizing ethical challenges and legal implications. The book addresses the pressing issue of data protection in the context of Generative Pre-trained Transformer (GPT) technology, emphasizing the EU's commitment to individual privacy rights. The book also evaluates AI's role in public governance, using Albania as a case study, and examines the potential of blockchain technology in enhancing legal processes. The ethical nuances surrounding AI's integration into legal systems are critically examined, particularly regarding algorithmic bias and human oversight. The book advocates for a collaborative approach involving legal experts and data scientists to navigate these complexities effectively.This book is a key resource for postgraduate students, researchers, and professionals in legal fields seeking to better understand the benefits and risks of incorporating AI into legal practices.
Implementing and Administering Cisco Solutions 200-301 CCNA Exam Guide - Second Edition
Paradata
To make sense of data and use it effectively, it is essential to know where it comes from and how it has been processed and used. This is the domain of paradata, an emerging interdisciplinary field with wide applications. As digital data rapidly accumulates in repositories worldwide, this comprehensive introductory book, the first of its kind, shows how to make that data accessible and reusable. In addition to covering basic concepts of paradata, the book supports practice with coverage of methods for generating, documenting, identifying and managing paradata, including formal metadata, narrative descriptions and qualitative and quantitative backtracking. The book also develops a unifying reference model to help readers contextualise the role of paradata within a wider system of knowledge, practices and processes, and provides a vision for the future of the field. This guide to general principles and practice is ideal for researchers, students and data managers.
5000 Years Of Science
What is science, really-and where is it taking us?In this sweeping journey across five millennia, 5000 Years of Science traces the rise of human understanding, from ancient Mesopotamian star charts to cutting-edge theories of artificial intelligence and quantum consciousness. This is not just a history of inventions and discoveries-it's a bold reinterpretation of science as the evolving expression of our deepest survival instincts, cognitive tools, and existential questions.Explore how early civilisations laid the mathematical and astronomical foundations of science. Witness the intellectual explosions of the Scientific Renaissance and Enlightenment. Follow the dramatic revolutions of chemistry, physics, biology, and computing. And then step into the future-with explorations of AI, neuroscience, quantum biology, and the search for a unified theory of consciousness.A Journey Through Human Discovery - and a Radical New Idea That May Change Everything We Know About the MindWhat if consciousness isn't a mystery... but an evolved tool for survival?In this bold and sweeping book, 5000 Years of Science traces the story of human discovery-from the fires of early civilisation to the quantum codes of artificial intelligence. With every chapter, the reader journeys through astronomy, biology, physics, and psychology-culminating in a groundbreaking theory that redefines what it means to be conscious.Introducing Affective Survival Theory (AST)-a new scientific framework that argues feeling is not a byproduct of thought, but the engine of survival. Pain, pleasure, fear, hunger, love: these are not abstract states, but evolution's way of tagging experience with meaning. From the reflex of a single cell to the awe of cosmic wonder, AST reveals how consciousness evolved not to think first-but to feel and adapt.���� Inside This Book: The 5000-year timeline of science, from ancient astronomy to AIThe rise of artificial intelligence and the limits of machine mindsWhy consciousness evolved through emotionally charged survivalHow AST compares to other leading theories (IIT, GWT, Orch OR, etc.)A reframe of the hard problem of consciousness into the hard advantage of feelingThe emotional roots of memory, imagination, reasoning, and transcendenceWhether you're a science lover, philosopher, futurist, or simply curious about the nature of the mind, 5000 Years of Science will challenge your assumptions, ignite your curiosity, and change how you see yourself-and consciousness itself.This is more than a book. It's the next chapter in the human story.
Scaling Ant Colony Optimization With Hierarchical Reinforcement Learning Partitioning
Attacks on Artificial Intelligence
Cyber attacks, both on national infrastructures and private companies, have ramped up exponentially in recent years. AI tools and algorithms can help detect and fend off cyber threats, but they can also be used by hackers in their cyber attacks. Defensive measures to address cyber attacks are not sufficient for artificial intelligence-based architectures, which present a new range of challenges. This new volume takes these concerns into consideration and examines recent developments and issues in attacks that target AI based systems and cyber infrastructures while also presenting research on using AI technologies to prevent attacks.
AI In Finance
AI in Finance: The Future of Money, Markets, and Investment Starts HereThe financial world is evolving-and artificial intelligence (AI) is at the center of this transformation. From robo-advisors and algorithmic trading to fraud detection and credit scoring, AI in Finance is your essential guide to understanding how intelligent technologies are reshaping every corner of the financial sector.Whether you're an investor, finance professional, student, or entrepreneur, this book provides the knowledge you need to navigate and thrive in an AI-powered economy. Complex concepts are explained in clear, practical terms, so you can take full advantage of this once-in-a-generation revolution in finance.���� What You'll Learn Inside: ���� AI in Banking and Financial Institutions Learn how leading banks and credit unions are using AI to streamline operations, enhance customer service, automate loan approvals, and reduce risk. From natural language chatbots to robotic process automation (RPA), discover how AI is saving billions annually in financial services.���� Predictive Analytics and Forecasting Dive into the power of machine learning models that analyze financial data to predict market trends, customer behavior, and business outcomes. Understand how hedge funds, fintech startups, and asset managers use predictive tools to gain a competitive edge.���� Robo-Advisors and Wealth Management Explore how digital financial advisors provide personalized investment advice using real-time data. Compare platforms like Betterment, Wealthfront, and Schwab Intelligent Portfolios-and learn how AI creates diversified portfolios based on your risk profile.���� Algorithmic Trading and Quantitative Finance Discover how high-frequency trading firms use AI and deep learning to execute trades in milliseconds. Understand the impact of data-driven strategies on global markets-and how even retail investors can harness simplified tools to compete.����️ Fraud Detection and Risk Management Find out how AI is being used to detect financial fraud in real time. From transaction pattern recognition to anomaly detection, AI is improving security across payment systems, insurance claims, and identity verification.���� Credit Scoring and Underwriting Learn how AI models go beyond traditional FICO scores to assess creditworthiness using alternative data like mobile activity, income patterns, and even social media behavior. See how fintech lenders are disrupting old systems.���� AI in Personal Finance & Budgeting Apps Discover how tools like Mint, Cleo, and YNAB use AI to provide users with automated insights, savings plans, and financial coaching. Understand how smart notifications and behavior tracking improve money habits.���� Fintech Startups and Innovation Explore the new wave of fintech companies harnessing AI to solve complex financial problems-like blockchain compliance, micro-investing, decentralized finance (DeFi), and peer-to-peer lending.���� AI Ethics, Bias, and Regulation in Finance Address the concerns around transparency, algorithmic bias, and responsible AI. Learn what financial institutions must consider to maintain ethical standards and comply with emerging regulations.
The Generalizability of Private Sector Research on Software Project Management in Two USAF Organizations
Knowledge Base Support for Design and Synthesis of Multi-Agent Systems
AI Business Startup Guide
Unlock the Future of Business: How to Start a Business with AIIn an era where technology is reshaping every industry, artificial intelligence (AI) is becoming an essential tool for entrepreneurs looking to gain a competitive edge. How to Start a Business with AI is your ultimate guide to harnessing the power of AI to launch and grow a successful business in the digital age. Whether you're an aspiring entrepreneur or an experienced business owner, this book provides practical strategies and valuable insights into leveraging AI for every aspect of your business-from customer service to marketing, sales, and beyond.Written by Eric LeBouthillier, a seasoned entrepreneur and AI expert, this book explores how AI can not only improve efficiency but also revolutionize how you approach business operations. With AI rapidly transforming industries like healthcare, retail, finance, and marketing, understanding how to integrate these advanced technologies is more crucial than ever.What You'll Learn: How to Leverage AI to Start a BusinessLearn how AI can enhance your decision-making and streamline your business startup processes. Eric walks you through the essential steps to integrate AI technologies, even if you have no prior experience in tech.Understand the practical applications of AI, such as automating repetitive tasks, improving customer interactions, and creating efficient workflows.Identifying the Best AI Tools for Your BusinessFrom chatbots to data analysis tools, this book covers the best AI solutions available for entrepreneurs. Learn how to select the right tools that align with your business goals, ensuring that AI supports and enhances your business operations.Eric provides a comprehensive guide to popular AI tools for specific business functions, such as sales automation, customer support, and marketing.Building an AI-Powered Business ModelDiscover how to integrate AI into your business model to improve both customer satisfaction and profitability. Whether you're launching an AI-powered product or simply incorporating AI into your existing operations, Eric provides actionable steps to create an AI-driven strategy.Learn the importance of data and how AI can help you collect, analyze, and utilize data to make smarter business decisions.AI in Marketing and SalesFind out how AI can revolutionize your marketing efforts. Learn about AI-driven personalization, automated email campaigns, and predictive analytics that can help you target the right customers and increase conversion rates.Explore how AI tools can optimize your sales funnel, identify high-quality leads, and personalize sales pitches, leading to faster and more efficient sales cycles.
AI In Cybersecurity
AI in Cybersecurity: The Ultimate Guide for Modern Threat Defense in the Digital Age In an era where data is currency and cyberattacks are more sophisticated than ever, businesses and individuals alike must rethink their approach to digital security. AI in Cybersecurity is the definitive resource that explores how artificial intelligence is transforming cyber defense systems, offering proactive, intelligent, and scalable protection in an evolving threat landscape.This comprehensive guide dives deep into the intersection of artificial intelligence and cybersecurity. Whether you're a small business owner, IT professional, executive, or tech enthusiast, this book delivers actionable insights, up-to-date frameworks, and practical use cases that show how AI is being deployed to detect threats, prevent breaches, and predict vulnerabilities before they become catastrophic.���� What You'll Learn Inside This Book: How machine learning and deep learning algorithms are used for real-time threat detection.The role of AI in identifying phishing attacks, malware, ransomware, and insider threats.Case studies from organizations using AI to secure data, networks, and cloud infrastructure.Key differences between rule-based systems and AI-driven defense.The impact of natural language processing (NLP) on analyzing threat intelligence and dark web chatter.Practical tools and platforms that leverage AI for cybersecurity automation and risk scoring.Ethical implications of AI-powered surveillance and privacy enforcement.How AI can help SMBs, enterprises, and government agencies scale their cybersecurity efforts.Unlike traditional cybersecurity books that focus only on manual defenses or complex technical concepts, AI in Cybersecurity is crafted to be accessible, insightful, and practical. Readers gain a strategic overview of how AI is enhancing digital resilience while also receiving real-world tactics that can be implemented immediately.���� Who This Book Is For: Small and Medium Businesses (SMBs) looking to protect their digital assets without large IT budgets.Cybersecurity professionals who want to upskill and stay ahead of AI-driven threat vectors.CISOs, CTOs, and IT managers responsible for digital risk management and compliance.Tech students and educators exploring the future of secure AI-driven infrastructure.Entrepreneurs and startups aiming to embed cybersecurity into their AI products from day one.���� Why It Matters Now More Than Ever: Cybercrime is projected to cost the global economy over $10 trillion annually by 2025. As threats evolve faster than human teams can respond, AI offers a revolutionary leap forward-delivering speed.
5000 Years of Science
What is science, really-and where is it taking us?In this sweeping journey across five millennia, 5000 Years of Science traces the rise of human understanding, from ancient Mesopotamian star charts to cutting-edge theories of artificial intelligence and quantum consciousness. This is not just a history of inventions and discoveries-it's a bold reinterpretation of science as the evolving expression of our deepest survival instincts, cognitive tools, and existential questions.Explore how early civilisations laid the mathematical and astronomical foundations of science. Witness the intellectual explosions of the Scientific Renaissance and Enlightenment. Follow the dramatic revolutions of chemistry, physics, biology, and computing. And then step into the future-with explorations of AI, neuroscience, quantum biology, and the search for a unified theory of consciousness.A Journey Through Human Discovery - and a Radical New Idea That May Change Everything We Know About the MindWhat if consciousness isn't a mystery... but an evolved tool for survival?In this bold and sweeping book, 5000 Years of Science traces the story of human discovery-from the fires of early civilisation to the quantum codes of artificial intelligence. With every chapter, the reader journeys through astronomy, biology, physics, and psychology-culminating in a groundbreaking theory that redefines what it means to be conscious.Introducing Affective Survival Theory (AST)-a new scientific framework that argues feeling is not a byproduct of thought, but the engine of survival. Pain, pleasure, fear, hunger, love: these are not abstract states, but evolution's way of tagging experience with meaning. From the reflex of a single cell to the awe of cosmic wonder, AST reveals how consciousness evolved not to think first-but to feel and adapt.���� Inside This Book: The 5000-year timeline of science, from ancient astronomy to AIThe rise of artificial intelligence and the limits of machine mindsWhy consciousness evolved through emotionally charged survivalHow AST compares to other leading theories (IIT, GWT, Orch OR, etc.)A reframe of the hard problem of consciousness into the hard advantage of feelingThe emotional roots of memory, imagination, reasoning, and transcendenceWhether you're a science lover, philosopher, futurist, or simply curious about the nature of the mind, 5000 Years of Science will challenge your assumptions, ignite your curiosity, and change how you see yourself-and consciousness itself.This is more than a book. It's the next chapter in the human story.
Advanced Intelligent Computing Technology and Applications
Applied Artificial Intelligence 4: Medicine, Biology, Chemistry, Financial, Games, Engineering
Advanced Intelligent Computing Technology and Applications
Advanced Intelligent Computing Technology and Applications
Advanced Intelligent Computing Technology and Applications
Advanced Intelligent Computing Technology and Applications
