This groundbreaking proceedings volume explores the integration of Artificial Intelligence (AI) across key domains—healthcare, finance, education, robotics, industrial and other engineering applications —unveiling its transformative potential and practical implications. With a multidisciplinary lens, it transcends technical aspects, fostering a comprehensive understanding while bridging theory and practice.
Approaching the subject matter with depth, the book combines theoretical foundations with real-world case studies, empowering researchers, professionals, and enthusiasts with the knowledge and tools to effectively harness AI. Encompassing diverse AI topics—machine learning, natural language processing, computer vision, data analytics and supervisory control — the volume showcases state-of-the-art techniques propelling AI advancements.
Structured into four parts: Part 1: Artificial Intelligence (AI), explores evolving deep neural networks, reinforcement learning, and explainable AI, providing a deep dive into the technical foundations of AI advancements.
Part 2: Robotics and Control Systems, delves into the integration of AI in robotics and automatic control, addressing supervisory control, automated robotic movement coordination, anomaly detection, dynamic programming, and fault tolerance, offering insights into the evolving landscape of intelligent automation.
Part 3: AI and Society, examines the societal impact of AI through chapters on ethical considerations, economic growth, environmental engagements, and hazard management, providing a holistic perspective on AI’s role in shaping society.
Part 4: Ph D Symposium, presents the future of AI through cutting-edge research, covering legal and ethical dimensions, privacy considerations, and computationally efficient solutions, offering a glimpse into the next generation of AI advancements.
Catering to a diverse audience—from industry leaders to students—the volume consolidates the expertise of renowned professionals, serving as a comprehensive resource for navigating the ever-evolving AI landscape. An essential reference for those staying at the forefront of AI developments.
Tabela de Conteúdo
Advances in AI – NLP, Vision, Voice, and Self-taught AI Systems.- Soft Computing and Evolutionary Computing.- Neuro Evolutionary Techniques.- Innovations in AI methods, techniques, and algorithms.- Explainable AI.- AI and Robotics.- AI and Automatic Control.- AI and Cloud.- AI and Io T.- Intelligent Engineering Systems, Expert Systems.- Knowledge-Based Systems.
Sobre o autor
Mina Farmanbar holds the position of Associate Professor in Computer Science at the University of Stavanger (Ui S), Norway. She has been an active researcher at Ui S and Akershus University Hospital since 2017. Notably, she is recognized among Norway’s top 100 women in the AI field, a testament to her impactful contributions and is currently a deputy leader of the Applied Intelligence and Emerging Technologies (AIx Tech) research group, at the University of Stavanger. She has been a program committee member of NORA – Norwegian Artificial Intelligence Research Consortium since 2021. Her research interests span a wide range of topics within the field, including but not limited to data science, natural language processing, and machine learning applications.
Maria P. Tzamtzi is Professor of Automatic Control Systems, at the Department of Digital Industry Technologies of the National and Kapodistrian University of Athens (NKUA), in Greece. She is currently the vice-head of the Department and a member of the Robotics, Automatic Control and Cyber-Physical Systems Laboratory of NKUA. Dr. Tzamtzi has more than twenty years of teaching, at undergraduate and graduate level, as well as research experience in the areas of automatic control and robotics. She has authored several scientific publications in nonlinear control, industrial control, robot control and supervisory control.
Ajit Kumar Verma is a Professor at the Western Norway University of Applied Sciences, Haugesund, Norway, since March 2012 and he was a Professor/Senior (HAG) scale Professor with the Reliability Engineering/ Department of Electrical Engineering at IIT Bombay for around 15 years with a research focus in reliability, risk & safety engineering and computational intelligence applications He has been associated with various Springer projects as an author/editor of books, series editor of many book series, patron/editor-in-chief of journals, guest edited over 12 special issues of various journals and has been on the editorial board of several journals.
Antorweep Chakravorty is a Professor in Computer Science at the University of Stavanger, Norway, presents a comprehensive research portfolio spanning diverse domains, including computer science, data science, artificial intelligence, data privacy, and blockchain. His impactful contributions extend across crucial sectors such as society, energy, healthcare, and oil & gas. With a rich history of over 60 high-impact publications and a track record of successfully securing external funding for research projects, Dr. Chakravorty’s work is characterized by its originality, significance, and progressive influence in the field. Beyond his scholarly achievements, he places a strong emphasis on fostering networking and collaboration, both nationally and internationally.
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