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.
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Kapil Joshi is an Assistant Professor in the department of Computer Science & Engineering (CSE) at Uttaranchal Institute of Technology (UIT), Uttaranchal University, Dehradun, Uttarakhand. 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 around 08 years of academic experience in different institutions/Companies. His areas of interest are Operating System, Computer Networks, Web Technology, Data Structure and Java etc. He has published various patents, research papers in reputed journals (UGC/Scopus) as well as published two books in international publication. 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 and ICAEST-21. He was also a student member of IEEE UP section in session 2019-20 and editorial member, guest editor in various reputed national/international journals. 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, He also appointed as an Asia Coordinator in "International Association for the promotion of Asia-Africa Research" (IAPAAR) from 2020.
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Hardcover. Etat : new. Hardcover. 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. "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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798369394458
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Buch. Etat : Neu. Neural Network Technologies and Brain-Computer Interfaces | Innovations and Applications | Mohammed Saleh Al Ansari (u. a.) | Buch | Englisch | 2025 | IGI Global | EAN 9798369394458 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 133466024
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