Current and Future Trends on AI Applications Volume 1

This book offers a deep dive into cutting-edge advancements and emerging trends that are reshaping industries and society. From healthcare and cybersecurity to disaster management and energy informatics, this book brings together expert insights and real-world applications, showcasing AI’s profound impact and boundless potential. 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.- 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.