Artificial Intelligence and Cognitive Sciences for Emerging Technologies - Proceedings of the International Conference on Artificial Intelligence and Cognitive Science for Emerging Technologies (AICSET 2025), Volume 1

This book presents cutting-edge research and insights at the intersection of artificial intelligence, cognitive sciences, and emerging technologies. Through diverse research papers and case studies, it explores the convergence of AI and human cognition and examines its impact across sectors such as healthcare, education, finance, and smart cities.
Key themes include scalable AI infrastructure, human-AI interaction, ethical considerations, security and privacy in AI applications. The book also highlights advances in machine learning methodologies and their practical applications, offering readers a comprehensive understanding of the technological innovations shaping modern society.
Ideal for researchers, practitioners, and industry professionals, this book provides actionable insights and innovative solutions to navigate the evolving AI landscape and its transformative effects on our world.

Inhaltsverzeichnis

Robust-Vibes: A Robust System For Virtual Human Balance And Uprightness Evaluation.- Difact Distance Estimation Using Face Detection Framework For Acuity Testing: An Ai-Based System For Accurate Distance Measurement.- Blockchain Technology For Green Manufacturing: Trends, Challenges And Perspectives.- Accurate Remaining Useful Life Prediction Of Lithium-Ion Batteries Using A Hybrid Deep Learning Framework.- Lot Sizing Optimization Using Proximal Policy Optimizer In Dynamic Manufacturing Environments.- Lot Sizing Optimization Using Proximal Policy Optimizer In Dynamic Manufacturing Environments.- Diagnostics For Industrial Electrical Systems Using Artificial Intelligence: Review And Perspectives.- Hybrid Vehicle Routing Problem: A Short Survey Of Ai-Based Models And Optimization Techniques.

Produktdetails

• Mitarbeit: Fatima Ezzahraa Ben Bouazza (Herausgeber), Brahim EL BHIRI (Herausgeber), Fatima Ezzahraa Ben Bouazza (Herausgeber), Amir Hussain (Herausgeber), Amir Hussain et al (Herausgeber), Hanane Lamaazi (Herausgeber), Lewis Nkenyereye (Herausgeber), Edeh Michael Onyema (Herausgeber), Naoufal Rouky (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erscheint: 27.01.2026
• EAN: 9783032114105
• ISBN: 978-3-0-3211410-5
• Illustration: Approx. 420 p.
• Serie: Lecture Notes in Networks and Systems
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; machine learning, Artificial Intelligence, Deep Learning, Smart Factory, Emerging technologies, Natural Language Processing, Explainable AI, Computational Intelligence, Cognitive Science, Smart Cities, multi-agent systems, healthcare systems, Nature-Inspired Algorithms, human-AI interaction, Medical AI, AICSET’25, Secure AI Systems