Neural Network Technologies and Brain-Computer Interfaces: Innovations and Applications - Tapa blanda

 
9798369394465: Neural Network Technologies and Brain-Computer Interfaces: Innovations and Applications

Sinopsis

"This book aims to provide an overview of the fundamental concepts, principles, and applications of neural network technologies and brain-computer interfaces. By converging artificial intelligence, neuroscience, and engineering, these innovations have transformative potential across various disciplines"-- Provided by publisher.

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Acerca de los autores

Dr. Mohammed Saleh Al Ansari is a renowned Associate Professor in the Department of Chemical Engineering at the University of Bahrain, with a career spanning over three decades. He holds a Bachelor's degree in Chemical Engineering from King Saud University, a Master's degree in Desalination Engineering from Glasgow, and a Ph.D. in Corrosion and Protection Science and Engineering. Throughout his illustrious career, Dr. Al Ansari has demonstrated exceptional expertise in teaching, research, and industry, with a strong focus on chemical engineering, machine learning, complex systems, data sciences, sustainability, and energy. His research endeavors have led to the publication of over 90 papers in esteemed Scopus, SCI, Esci, and International peer-reviewed impact journals and patents, showcasing his innovative and outstanding contributions to academic research. Dr. Al Ansari's dedication to education and research has earned him recognition as a leading expert in his field. He continues to inspire and mentor students, guiding them towards achieving excellence in their academic and professional pursuits. His commitment to advancing knowledge and driving innovation has made a significant impact on the academic community and beyond. With his extensive experience and impressive track record, Dr. Mohammed Saleh Al Ansari is a respected figure in the field of chemical engineering and a valuable asset to the University of Bahrain. His ongoing research and contributions are poised to shape the future of engineering and sustainability, leaving a lasting legacy for generations to come.

Dr. Kapil Joshi is an Associate Professor in the department of Computer Science & Engineering (CSE) at Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, Uttarakhand, India. He has completed his Ph.D, topic on “Image Quality Enhancement using Fusion Technique” in computer science and engineering from Uttaranchal University, Dehradun. He has more than 10 years' experience in industry, academic, and research. His areas of interest are Operating System, Computer Networks, Web Technology, Data Structure and Java etc. His research areas are deep learning, CNN, Computer vision etc. He has published various patents, 400+ research papers in reputed journals (UGC/Scopus) as well as published 20+ books in international publication. Dr. Kapil Joshi has published more than 50+ research papers in various international journals (including ISI/SCI indexed). He has also been associated with many conferences at National and International level and organized many conferences like STEM-2017, ICACDS-18, ICAESMT-19, ICAEST-20, ICAEST-21, ICIS-22, ICNN-22, IDVRP-22, ICAEST-22 and ICAEST-23. He was also a student member of IEEE UP section in session 2019-20 and editorial member, guest editor and technical reviewers in various reputed national/international journals like Springer, Elsevier and Taylorfrancis etc. Dr. Joshi organized several conferences and has been invited as a key-speaker in various workshops/conferences. Dr. Joshi has filed/published more than 30 patents. He has written 5+ books and more than 20+ book chapters in the reputed publications.

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