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El. knyga: Current and Future Trends on AI Applications: Volume 1

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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.
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