RHYTHMIC ADVANTAGES IN BIG DATA AND MACHINE LEARNING. Cet article n’est pas disponible.
Langue : anglais
Edité par SPRINGER, 2022
- Livre relié
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A propos de cet article
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N° de réf. du vendeur AD 9789811657221
- Titre
- RHYTHMIC ADVANTAGES IN BIG DATA AND MACHINE LEARNING
- Auteur
- BANDYOPADHYAY
- Éditeur
- SPRINGER
- Année de publication
- 2022
- État de l'article
- New
- Reliure
- Hardcover
- Langue
- anglais
- ISBN à 10 chiffres
- 981165722X
- ISBN à 13 chiffres
- 9789811657221
- Édition
- Edition internationale
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À propos de l’auteur
Kanad Ray (Senior Member, IEEE) received the M.Sc. degree in Physics from Calcutta University and the Ph.D. degree in Physics from Jadavpur University, West Bengal, India. He has been Professor of Physics and Electronics and Communication and is presently working as Head of the Department of Physics, Amity School of Applied Sciences, Amity University Rajasthan (AUR), Jaipur, India. His current research areas of interest include cognition, communication, electromagnetic field theory, antenna and wave propagation, microwave, computational biology, and applied physics. He has been serving as Editor for various Springer book series. He was Associate Editor of the Journal of Integrative Neuroscience (The Netherlands: IOS Press). He has visited several countries such as Netherlands, Turkey, China, Czechoslovakia, Russia, Portugal, Finland, Belgium, South Africa, Japan, Singapore, Thailand, and Malaysia for various academic missions.
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