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.
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.
Implementing and Administering Cisco Solutions 200-301 CCNA Exam Guide - Second Edition
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.
Knowledge Base Support for Design and Synthesis of Multi-Agent Systems
The Generalizability of Private Sector Research on Software Project Management in Two USAF Organizations
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.
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 artificial intelligence-based systems and AI-based cyber infrastructures while also presenting research on using AI technologies to prevent attacks.This volume presents the challenges and new research on both offensive and defensive artificial intelligence in cyberspace and offers technical strategies to protect against such attacks. The myriad topics discussed in the book include AI in secure video surveillance systems, an AI-secured visitor management system, Internet of Things-based ventilator, a digital forensics analysis for adversarial attacks in AI-based systems, applications of AI and ML in a water quality monitoring system, and much more.The research presented in this volume will be a guide for researchers and scholars working in the area of attacks and investigations on artificial intelligence-based systems.
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
AI Empowered
With the rapid advancement of artificial intelligence (AI), new technology is reshaping business landscapes and creating unprecedented opportunities for innovation and growth. Professors Babu George and Ontario Wooden explore the transformative journey of African American entrepreneurs as they navigate the evolving AI era. Beginning with a conceptual analysis based on firsthand experiences with African American business leaders and supported by the existing literature, George and Wooden trace the historical trajectory of African American entrepreneurship, highlighting the resilience and ingenuity that have long defined this community. They examine critical aspects such as policy frameworks, financial strategies, educational initiatives, and the importance of networking within the AI ecosystem, underscoring the need for inclusive policies and accessible resources to ensure African American entrepreneurs can fully participate in and benefit from the AI revolution. At the heart of the discussion is AI's role in bridging socioeconomic divides, equipping African American entrepreneurs with powerful tools to overcome systemic barriers and advance toward economic empowerment. Through micro-case studies, innovative insights, and actionable strategies, the book brings home the hope that digital divides and systemic inequities can be overcome successfully. AI Empowered concludes with a forward-looking perspective, envisioning a future where African American entrepreneurs lead AI-driven innovation. It calls for a collective effort to support these trailblazers and foster a diverse, dynamic entrepreneurial landscape that reflects the promise of the digital age.
Fast, Low-Resource, Accurate Robust Organ and Pan-Cancer Segmentation
A Hierarchical Technique for Mechanical Theorem Proving and its Application to Programming Language Design
Analysing Trends and Patterns in Employee Engagement Through AI
This book explores the concept of employee engagement, which is crucial for a company's success, as it is closely linked to job satisfaction and employee morale. Engaged workers tend to be more productive, efficient, and committed to the values and objectives of the company. Artificial intelligence plays a significant role in HR analytics, particularly in automating tedious tasks like data collection and organization from multiple sources. AI-driven employee engagement software can analyze employee feedback, surveys, and social media posts to capture the overall sentiment of the workforce. This allows HR teams to gain insights into employee experiences and perceptions, uncover areas for improvement, and address any issues that require attention. By leveraging past data and employing machine learning algorithms, AI enables HR professionals to predict turnover rates, forecast employee engagement levels, and identify potential flight risks.
Just War Theory and Artificial Intelligence
Two of the most crucial issues facing humanity in the contemporary world are artificial intelligence and armed conflict. This book tackles them both by bringing them into conversation with one another and creating an understanding of their relationship. New developments in technology, especially within weapons systems, have challenged our understandings of just war theory as warfare becomes more remote, thus changing the nature of the questions to be asked of and by those engaged in conflict. Covering topics such as drone warfare and the use of wargaming by combatants, this collection seeks to answer those questions with essays from leading experts in the field. It will be a valuable resource for those interested in both the development of artificial intelligence generally and warfare specifically.
Postdigital Ethical Futures
Postdigital Ethical Futures emerged from the work of the Ethical Futures Network hosted by the William Temple Foundation meeting both online and at Trinity College, Oxford. This book illustrates the research being carried out by some of the members of this network by examining the more practical aspects of the subject of religion and the digital, drawing on a wider range of disciplines and was created in memory of John Reader whose idea the text was, who died suddenly in 2023. The book examines issues of ethics as encountered in both the digital and environmental spheres, and seeks to cross of the boundary between philosophy and theology.
Handbook of Global Philosophies on AI Ethics
This book offers an exploration of the diverse perspectives shaping the future of Artificial Intelligence (AI), highlighting the influence of non-Western thinking in its development. What would the impact be if AI were developed with the wisdom of Ubuntu, the harmony of Confucian thought, or the Indian principle of Vasudhaiva Kutumbakam, "the world is one family", at its core?This thought-provoking collection brings together leading voices from around the globe to reimagine AI systems that are fair, ethical, and inclusive. Addressing critical issues such as bias, fairness, privacy, and existential risks, it challenges the status quo and envisions a future where AI reflects the values of all humanity - not just a select few. Exploring the influence of topics like religion, culture, and social movements, the book examines how these perspectives shape AI's application in industries such as finance, education, and the military, while underscoring the importance of establishing robust ethical guardrails.Whether you're a curious reader, a policy maker, a scholar, or a tech innovator, this book is your guide to understanding how different cultural perspectives can redefine AI ethics. It's time to ask: what kind of world do we want AI to build for us all?
Advances in Intelligent Systems
This new volume covers a diverse range of advances in intelligent systems that involve applications of AI and digital automation, such as machine learning, deep learning, sectional convolutional neural network models, and much more. It explores advances in predictive analysis, such as using AI for leukemia detection and other diseases, strategic decision-making models using data analytics, video object detection using convolution, CNN-based mask detection, medical image watermarking using RDWT-SVD-DCT, and more.
Social Intelligence
Given the rise of AI and the advent of online collaboration opportunities (e.g., social media, crowdsourcing), emerging research has started to investigate the integration of AI and human intelligence, especially in a collaborative social context. This creates unprecedented challenges and opportunities in the field of Social Intelligence (SI), where the goal is to explore the collective intelligence of both humans and machines by understanding their complementary strengths and interactions in the social space. In this book, a set of novel human-centered AI techniques are presented to address the challenges of social intelligence applications, including multimodal approaches, robust and generalizable frameworks, and socially empowered explainable AI designs. The book then presents several human-AI collaborative learning frameworks that jointly integrate the strengths of crowd wisdom and AI to address the limitations inherent in standalone solutions. The book also emphasizes pressing societal issues in the realm of social intelligence, such as fairness, bias, and privacy. Real-world case studies from different applications in social intelligence are presented to demonstrate the effectiveness of the proposed solutions in achieving substantial performance gains in various aspects, such as prediction accuracy, model generalizability and explainability, algorithmic fairness, and system robustness.
Autonomous Urban Mobility
This book delves into the complex landscape of autonomous urban mobility, analysing the factors that influence public adoption, stakeholder perspectives, and societal perceptions in this rapidly evolving field. Aimed at scholars, policymakers, urban planners, and industry professionals, this book offers a thorough exploration of the key elements driving the integration of autonomous vehicles in urban settings. Drawing on empirical evidence from diverse case studies, it first investigates public awareness, emphasising the roles of knowledge, exposure, and media in shaping perceptions of autonomous vehicles, and underscores the critical need for targeted awareness campaigns. Subsequent chapters examine pre-trial attitudes towards autonomous shuttles, demonstrating how initial experiences significantly impact adoption willingness, and advocate for pilot programs to cultivate informed, positive perceptions.This book also explores the potential of smart mobility solutions to bridge first/last mile gaps, presenting data on how autonomous vehicles can improve urban transport efficiency and accessibility. By analysing socio-demographic predictors, it highlights varying perceptions of the benefits and challenges of autonomous demand-responsive transit, underscoring the importance of tailored strategies for diverse urban populations. Stakeholder perspectives, gathered through interviews and case studies, offer practical recommendations for overcoming technological, regulatory, and societal hurdles. Comparative insights from international case studies broaden the understanding of local factors influencing autonomous vehicle acceptance, while advanced modelling techniques identify the key drivers of driverless car adoption. Finally, this book explores the transformative potential of autonomous vehicles in developing countries, offering visionary insights into their capacity to reshape urban landscapes.With its data-rich content and forward-thinking analysis, this book is an indispensable guide to the future of urban transportation and the critical role of autonomous mobility.This volume, alongside its companion--Autonomous Urban Mobility: Understanding Innovation Principles, Priorities, Policies--offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.
Autonomous Urban Mobility
This book provides a comprehensive exploration of the rapidly evolving field of autonomous urban mobility, examining its transformative potential and the principles guiding its innovation. This essential resource offers deep insights into the societal, policy, and urban impacts of autonomous vehicles, drawing on an extensive body of research. Beginning with a review of smart urban mobility innovations, the book explores technological advancements such as connected vehicles, mobility-as-a-service platforms, and shared autonomous systems, evaluating their successes and challenges.This book traces the evolution of autonomous vehicle research over the past two decades, identifying key trends, methodologies, and future research directions, underscoring the importance of interdisciplinary approaches to address complex challenges. Subsequent chapters critically assess the technical capabilities, societal impacts, and policy frameworks necessary for the widespread adoption of autonomous vehicles, with a focus on implications for land use, infrastructure, and environmental planning. Public acceptance is a recurring theme, with an in-depth analysis of socio-demographic, psychological, and contextual factors influencing attitudes towards autonomous mobility. This book also examines the role of shared autonomous systems in addressing urban challenges such as congestion and equity, highlighting their potential to create more sustainable urban transportation networks. Concluding with a discussion on the disruptive impacts of autonomous vehicles on urban form and land use, the author provides a balanced perspective on the opportunities and risks of mobility-as-a-service.This key reference book equips academics, policymakers, urban planners, and industry professionals with the knowledge to navigate the complex interplay of technology, policy, and societal impact, advancing the vision of smarter and more sustainable cities.This volume, alongside its companion--Autonomous Urban Mobility: Understanding Adoption Parameters, Perceptions, Perspectives--offers a holistic view of autonomous urban mobility. Together, these books provide a comprehensive exploration of the rapidly evolving landscape of autonomous urban mobility, the principles guiding its innovation, the wide-ranging impacts of its adoption on society, policy, and urban environments, and the transformative potential of autonomous vehicles in the future of urban transportation.
