Items related to Brain-Computer Interface: Using Deep Learning Applications
- PublisherWiley-Scrivener
- Publication date2023
- ISBN 10 1119857201
- ISBN 13 9781119857204
- BindingHardcover
- LanguageEnglish
- Edition number1
- Number of pages320
- EditorSumithra M. G., Dhanaraj Rajesh Kumar, Milanova Mariofanna, Balusamy Balamurugan, Venkatesan Chandran
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Brain-Computer Interface (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201
ISBN 13: 9781119857204
New
Hardcover
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Seller rating 5 out of 5 stars
Hardcover. Condition: 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. Seller Inventory # 9781119857204
Quantity: 1 available
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Brain-Computer Interface (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201
ISBN 13: 9781119857204
New
Hardcover
Seller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 3 out of 5 stars
Hardcover. Condition: 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. Seller Inventory # 9781119857204
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Brain-computer Interface : Using Deep Learning Applications
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Brain-Computer Interface - Using Deep Learning Applications
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Brain-Computer Interface - Using Deep Learning Applications
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HRD. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # IB-9781119857204
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Brain-computer Interface : Using Deep Learning Applications
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Brain-computer Interface : Using Deep Learning Applications
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Brain-Computer Interface (Hardcover)
Published by
John Wiley & Sons Inc, New York, 2023
ISBN 10: 1119857201
ISBN 13: 9781119857204
New
Hardcover
Seller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Hardcover. Condition: 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. Seller Inventory # 9781119857204
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Brain-computer Interface : Using Deep Learning Applications
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Brain-Computer Interface: Using Deep Learning Applications
Published by
John Wiley & Sons Inc, 2023
ISBN 10: 1119857201
ISBN 13: 9781119857204
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Hardcover
First Edition
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Condition: New. 2023. 1st Edition. Hardback. . . . . . Seller Inventory # V9781119857204
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