Augmenting Artificial-Human Intelligence (ICAAHI 2025)

· · ·
· Springer Nature
Ebook
449
Pages

About this ebook

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.

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 comput...

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About the author

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.

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...

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