This book presents the proceedings from the 2nd International Conference on Augmenting Artificial-Human Intelligence (ICAAHI 2025), held at Universitas Sulawesi Tenggara, Indonesia. It offers a comprehensive exploration of the latest advancements in human artificial intelligence and recent computational technologies. The collection of papers provides insights into cutting-edge research and applications, covering topics such as machine learning innovations, big data analytics, and human-centric AI systems.
Readers will encounter expert analyses on the ethical and secure use of AI, as well as discussions on AI's transformative impact across various sectors, including healthcare, finance, and education. The book also addresses critical questions about the accelerating pace of AI development and its implications for society. Contributions from renowned scholars and industry experts highlight the potential and challenges of integrating AI with human intelligence.
This volume is an essential resource for researchers, engineers, and industry professionals interested in the intersection of AI and human intelligence. It serves as a guide for navigating the complexities of AI technologies and their applications, making it a valuable addition to the libraries of academics and practitioners alike.
Optimized Hybrid Framework for Knowledge Extraction Using Data Mining
and Machine Learning Techniques.- Modeling Mathematics Achievement and
Engagement in PISA: Predictive Insights from Psychological and Digital Access
Factors Using Regression and K-Nearest Neighbors.- A Data Analytics
Perspective on CD24 Expression in Colorectal Cancer Patients.- RFD Model
Based Data Integration in Dengue Domain.- Rainfall and Flood Hazard Modeling
for Sustainable Mine Site Management.- Managing Intangible Assets for
Customer Relationship and Trust Building in the Banking Sector.- AI and
Financial Data Driven Technological Integration for Business Growth and
Management.- Secure Key Exchange Scheme Based on Modified Diffie-Hellman
Protocol and Argon2 Encryption Mechanism.- Reliability-Gated Hybrid IDS for
VANETs: Lightweight OBU Screening and RSU-Supervised Fusion.- The Role of
Cybersecurity in Enhancing Trust and Ethical Integrity within Digital Banking
Systems.- Expression-Aware Face Verification: Leveraging Emotional Diversity
to Improve Recognition Accuracy.- XTL-Net: Enabling Transfer Learning for
Real-Time Data Analytics in Dynamic Environments.- Analyzing the Role of
Compensation and Motivation in Enhancing MSME Employee Performance.- AI-Based
Optimization of Integrated Health Post Management to Reduce Stunting.- The
Role of AI in Improving Integrated Health Post Performance to Combat
Stunting.- Adapting Human Resource Management Strategies for the Remote Work
Revolution.- Artificial Intelligence Applications for Achieving Economic
Stability and Sustainable Growth in the Modern Era.- The Application of
Artificial Intelligence for Smart Knowledge Creation and Sharing.- Team
Collaboration and Employee Development Through Inclusive Leadership in the
Healthcare Sector.- Secure Blockchain Based WSN Framework for Student Health
Monitoring and Learning Contemporary Fundamental Study.- AI Integrated
Intelligent Smart Decision Support for Enhancing WSN Efficiency in Green
Capital Markets for Sustainability Promotion.- Intelligent Business Process
Management Systems with AI Augmentation and Framed Autonomy.- Exploring
Belief Triggers and AI Intention with Leadership Support in Multi-Level
Studies.- Beyond learning through human-AI collaborative learning for
communicationsoft skill development in the 21st century.- The Impact of
Prior Experience on the Effectiveness of Immersive Learning Using 360° Video
in Environmental Sciences.- Blood Cell Cancer Prediction Using Deep
Learning-Based Models.- Plants Leaves Classification Using VGG16-Based
Transfer Learning and PSO algorithm.- AI-Based Automated Assessment System
for Enhanced Learning Evaluation.- Sustainable Tourism for Community
Empowerment in Rural Areas.- The Role of Digital Learning Tools in Enhancing
Elementary School Education.- Biology Driven Computational Models for
Healthcare and Medical Research.- AI Supported Smart Business Control and
Decision Analysis Using Machine Learning Models.- Entrepreneurial Education
and Capabilities as Determinants of Entrepreneurial Intentions.- Optimizing
LightGBM Hyperparameters using Jaya Algorithm for Spam Email Detection.- An
Efficient Framework for Opinion Min-ing Using Text Classification and NLP
Tools.
Ahmed J. Obaid is a Asst. Professor at the Department of Computer Science, Faculty of Computer Science and Mathematics, University of Kufa, Iraq. Dr. Ahmed holds a Bachelor's in Computer Science, a degree in Information Systems from the College of Computers, University of Anbar, Iraq (2001-2005), and a Master's Degree (M. TECH) in Computer Science Engineering (CSE) from School of Information Technology, Jawaharlal Nehru Technological University, Hyderabad, India (2010-2013), and a Doctor of Philosophy (Ph.D.) in Web Mining from College of Information Technology, University of Babylon, Iraq (2013-2017). He is a Certified Web Mining Consultant with over 14 years of experience working as a Faculty Member at the University of Kufa, Iraq. He has taught courses in Web Designing, Web Scripting, JavaScript, VB.Net, MATLAB Toolbox, and other courses on PHP, CMC, and DHTML from more than 10 international organizations and institutes in the USA, and India. Dr. Ahmed is a member of the Statistical and Information Consultation Center (SICC), University of Kufa, Iraq. His main line of research is Web mining Techniques and Applications, Image processing in Web Platforms, Image processing, Genetic Algorithm, information theory, and Medical Health Applications.
