Brain-Computer Interface: Using Deep Learning Applications - Couverture rigide

Acheter neuf

Afficher cet article

EUR 120,04

Autre devise

Gratuit exp�dition vers Etats-Unis

R�sultats de recherche pour Brain-Computer Interface: Using Deep Learning Applications

Image fournie par le vendeur

Brain-Computer Interface (Hardcover)

M.G. Sumithra

Edit� par John Wiley & Sons Inc, New York, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9781119857204

Acheter neuf

EUR 120,04

Autre devise

Frais de port : Gratuit

Vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Image fournie par le vendeur

Brain-Computer Interface (Hardcover)

M.G. Sumithra

Edit� par John Wiley & Sons Inc, New York, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : AussieBookSeller, Truganina, VIC, Australie

�valuation du vendeur 3 sur 5 �toiles

Hardcover. Etat : new. Hardcover. BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N� de r�f. du vendeur 9781119857204

Acheter neuf

EUR 130,99

Autre devise

Frais de port : EUR 32,75

De Australie vers Etats-Unis

Quantit� disponible : 1 disponible(s)

Image fournie par le vendeur

Brain-computer Interface : Using Deep Learning Applications

Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Milanova, Mariofanna (EDT); Balusamy, Balamurugan (EDT); Chandran, V. (EDT)

Edit� par Wiley-Scrivener, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

Etat : New. N� de r�f. du vendeur 43107019-n

Acheter neuf

EUR 166,79

Autre devise

Frais de port : EUR 2,34

Vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Image d'archives

Brain-Computer Interface - Using Deep Learning Applications

Sumithra

Edit� par John Wiley and Sons, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis

�valuation du vendeur 5 sur 5 �toiles

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur IB-9781119857204

Acheter neuf

EUR 177,52

Autre devise

Frais de port : Gratuit

Vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Image d'archives

Brain-Computer Interface - Using Deep Learning Applications

Sumithra

Edit� par John Wiley and Sons, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni

�valuation du vendeur 4 sur 5 �toiles

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N� de r�f. du vendeur IB-9781119857204

Acheter neuf

EUR 175,56

Autre devise

Frais de port : EUR 5,90

De Royaume-Uni vers Etats-Unis

Quantit� disponible : 2 disponible(s)

Image fournie par le vendeur

Brain-computer Interface : Using Deep Learning Applications

Sumithra, M. G. (EDT); Dhanaraj, Rajesh Kumar (EDT); Milanova, Mariofanna (EDT); Balusamy, Balamurugan (EDT); Chandran, V. (EDT)

Edit� par Wiley-Scrivener, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : New. N� de r�f. du vendeur 43107019-n

Acheter neuf

EUR 167,09

Autre devise

Frais de port : EUR 17,64

De Royaume-Uni vers Etats-Unis

Quantit� disponible : Plus de 20 disponibles

Image fournie par le vendeur

Brain-Computer Interface (Hardcover)

M.G. Sumithra

Edit� par John Wiley & Sons Inc, New York, 2023

ISBN 10 : 1119857201 ISBN 13 : 9781119857204

Neuf Couverture rigide

Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. BRAIN-COMPUTER INTERFACE It covers all the research prospects and recent advancements in the brain-computer interface using deep learning. The brain-computer interface (BCI) is an emerging technology that is developing to be more functional in practice. The aim is to establish, through experiences with electronic devices, a communication channel bridging the human neural networks within the brain to the external world. For example, creating communication or control applications for locked-in patients who have no control over their bodies will be one such use. Recently, from communication to marketing, recovery, care, mental state monitoring, and entertainment, the possible application areas have been expanding. Machine learning algorithms have advanced BCI technology in the last few decades, and in the sense of classification accuracy, performance standards have been greatly improved. For BCI to be effective in the real world, however, some problems remain to be solved. Research focusing on deep learning is anticipated to bring solutions in this regard. Deep learning has been applied in various fields such as computer vision and natural language processing, along with BCI growth, outperforming conventional approaches to machine learning. As a result, a significant number of researchers have shown interest in deep learning in engineering, technology, and other industries; convolutional neural network (CNN), recurrent neural network (RNN), and generative adversarial network (GAN). Audience Researchers and industrialists working in brain-computer interface, deep learning, machine learning, medical image processing, data scientists and analysts, machine learning engineers, electrical engineering, and information technologists. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9781119857204