Al-Sharafi M. Current and Future Trends on AI Applications Vol 1. 2025

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Al-Sharafi M. Current and Future Trends on AI Applications Vol 1. 2025

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Textbook in PDF format The rapid advancements in Artificial Intelligence (AI) have fundamentally transformed various sectors, redefining the possibilities of technology and innovation. From healthcare and finance to education and entertainment, AI’s impact is pervasive and far-reaching. This edited book, Current and Future Trends on AI Applications, is a comprehensive exploration of the latest developments in AI and a forward-looking analysis of the emerging trends that will shape the future of this dynamic field. This book brings together a diverse range of perspectives from experts in the field, covering a wide spectrum of AI applications from disaster management and cybersecurity to healthcare, energy informatics, and beyond. The chapters in this book illustrate the profound impact AI has already made and the even greater potential it holds for the future. The book is structured to provide readers with a thorough understanding of how AI is being applied in various domains today and how it is expected to evolve. Each chapter delves into specific use cases, providing detailed analyses of how AI technologies are being implemented to solve complex problems, improve efficiency, and create new opportunities. The rapid growth of digital technology has made advanced techniques necessary to protect confidential data from cyber threats. This review looks at the key features and benefits of using Artificial Intelligence (AI) in cybersecurity and stresses its importance. Traditional cybersecurity methods are not enough to handle advanced and fast-changing cyber threats. Modern cyber problems deal with the large volume, variety, and speed of attacks, leading to delayed responses and higher rates of false positives and negatives. AI and Machine Learning are becoming crucial in fighting cyber threats. AI can effectively tackle pressing cybersecurity issues. This paper provides an overview of AI’s role in cybersecurity, the key features of AI-enhanced defenses, and discusses the challenges, limitations, and ethical and legal considerations of AI in cybersecurity. By integrating these features, AI-enhanced cybersecurity can better defend against various cyber threats, ensuring a more secure and robust IT environment. Perfect for researchers, practitioners, and students alike, this comprehensive guide not only highlights current innovations but also provides a forward-looking perspective on how AI will drive the next wave of technological breakthroughs. The Enhancement of K-Nearest Neighbourhood in Optimizing the Selection of Distribution Centre for Disaster Relief Operation Evaluating Advanced Dimensionality Reduction Techniques for Effective Clustering of High-Dimensional Adolescent Development Data A Decade-Long Bibliometric Analysis of Electronic Health Record Research Trends (2014–2024) Performance Analysis of Deep Learning Models in Detection and Counting of Bees for Hive Monitoring Smarter Learning Environment: Exploring the Need for an Intelligent Tutoring System in Iraqi Universities Automated Mandible Segmentation from Computed Tomography Scans Using U-Net and U-Net Transformer AI-Enhanced Cybersecurity: A Comprehensive Review of Techniques and Challenges A Bibliometric Review of Trends and Insights of Internet of Things on Cybersecurity Issues Artificial Intelligence Implementation in the Tourism Industry: A Literature Review Artificial Intelligence (AI)-Enabled Mobile Fitness Apps and Goal Attainment: Systematic Literature Review Zhang Yanyan, Noorminshah A.Iahad, and Ahmad Fadhil Yusof Artificial Intelligence in Energy Informatics: An In-Depth Review AI Strategies for Handling Disciplinary and Cyber Bullying in Schools Artificial Intelligence and Industry 4.0: Catalysts for Sustainable Organizational Development Text Classification: A Comprehensive Survey from Traditional Approaches to Deep Learning Methods Development of Smart Contract Blockchain Integrated Model (Lightblock) for IOT Applications Hybrid Deep Learning for Detecting Hate Speech Across Social Media Platforms AI-Driven Smart City Security and Surveillance System: A Bibliometric Analysis Adoption and Implementation Trends of Vehicle-to-Everything (V2X) Technologies: A Comprehensive Bibliometric Analysis Artificial Intelligence Methods and Image Recognition Techniques in Ophthalmic Robotic Surgery: A Review Examining Factors Influencing Behavioral Intentions to Use Artificial Intelligence in the Recruitment Processes of United Nations Agencies A Study on the Use of Enterprise Resource Planning to Improve the Sustainability of Malaysian SMEs Determinants of Biometric as a Service (BaaS) Adoption in the Telecommunication Companies: The Mediating Effect of Perceived Trust The State of the Art in AI-Based Phishing Detection: A Systematic Literature Review