Novel neural network models and architectures inspired by the human brain advance learning and adaptability in AI systems. Innovations in neurorobotics empower robots to perceive, interact with, and navigate the environment autonomously through bio-inspired algorithms. As a result, brain-computer interfaces (BCI) technology can be applied to the development of advanced prosthetics, exoskeletons, and assistive devices that restore mobility and functionality. BCI-enabled neurofeedback can be utilized for cognitive training, neurorehabilitation, and treating neurological disorders. Advancements in neural interface technologies, including brain implants and neurostimulation techniques, are imperative for seamless integration with AI systems and robots.

Neural Network Technologies and Brain-Computer Interfaces: Innovations and Applications explores the latest advancements and innovations in neural network technologies and brain-computer interfaces (BCIs), highlighting their potential to revolutionize various fields, including artificial intelligence, robotics, healthcare, and virtual reality. It discusses the potential of leveraging neural networks for processing and analyzing brain signals to enhance the accuracy and speed of BCI systems. Covering topics such as BCI prediction accuracy, healthcare access barriers, and neurofinance, this book is an excellent resource for engineers, healthcare practitioners, neuroscientists, computer scientists, researchers, academicians, and more.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Artificial Intelligence (AI)
Assistive Technologies
BCI Prediction Accuracy
BCI Signal Decoding
Brain-Computer Interfaces (BCIs)
Cognitive Enhancement
Convolutional Neural Networks (CNNs)
Financial Decision-Making
Healthcare Access Barriers
Hybrid Deep Learning (DL)
Machine Learning (ML) Algorithms
Mental Health
Neural Network Technologies
Neurofinance
Neurorehabilitation
People with Disabilities
Prosthetic Functionality
Quality of Life
User-Centric Factors
Visual Impairments

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Editor/Author Biographies

|Mohammed Saleh Al Ansari - Editor|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.

|Kapil Joshi - Editor|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 30+ 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 is also a professional member of IEEE UP section, editorial member, advisory member, associate editor, guest editor and technical reviewers in various reputed national/international journals like Wiley, MDPI, 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 40 patents. He has written 10+ books and more than 40+ book chapters in the reputed publications. Dr. Kapil Joshi has guided 10+ M.Tech students and 5+ PhD students so far. He has chaired many International and National Conferences and was also invited as Keynote Speaker /Session Chair in many events. He has been awarded with “Best Young Researcher” Award in Global Education and Corporate Leadership (GECL-21) received by Life Way Tech India Pvt. Ltd. in 2021, Excellence in Research of the Year-2023 Award by Shri Anand Vardhan, IAS, Additional Chief Secretary, Govt of Uttarakhand in DISTF-2023. He also appointed as an Asia Coordinator in “International Association for the promotion of Asia-Africa Research” (IAPAAR) from 2020.

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