Artificial intelligence enabled signal (31 résultats)

Etat : As New. Unread book in perfect condition.

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Etat : New.

Etat : As New. Unread book in perfect condition.

Etat : New.

Paperback. Etat : Brand New. 210 pages. 6.14x0.48x9.21 inches. In Stock.

Etat : New. Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009 and the M.Tech degree in Biomedical Engineering from the National Instit.

hardcover. Etat : Very Good.

Taschenbuch. Etat : Neu. Neuware - The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book: - Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signals - Presents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interface - Highlights the latest machine learning and deep learning methods for neural signal processing - Discusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysis - Showcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniques It is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.…

Etat : As New. Unread book in perfect condition.

Etat : New.

Etat : New.

Etat : New.

Etat : As New. Unread book in perfect condition.

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Etat : New. 1st edition NO-PA16APR2015-KAP.

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Hardback. Etat : New. New copy - Usually dispatched within 4 working days.

Etat : New. In English.

Hardback. Etat : New. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signalsPresents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interfaceHighlights the latest machine learning and deep learning methods for neural signal processingDiscusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysisShowcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniquesIt is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.…

Hardcover. Etat : Brand New. 280 pages. 9.19x6.13x9.21 inches. In Stock.

Hardback. Etat : New. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signalsPresents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interfaceHighlights the latest machine learning and deep learning methods for neural signal processingDiscusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysisShowcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniquesIt is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering.…

Paperback. Etat : new. Paperback. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signalsPresents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interfaceHighlights the latest machine learning and deep learning methods for neural signal processingDiscusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysisShowcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniquesIt is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Etat : new. Paperback. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signalsPresents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interfaceHighlights the latest machine learning and deep learning methods for neural signal processingDiscusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysisShowcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniquesIt is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Paperback. Etat : new. Paperback. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. It will help readers in understanding the use of electroencephalography signals for different neural information processing and cognitive neuroscience applications. The book:Covers topics related to the application of signal processing and machine learning-based techniques for the analysis and classification of electroencephalography signalsPresents automated methods for detection of neurological disorders and other applications such as cognitive task recognition, and brain-computer interfaceHighlights the latest machine learning and deep learning methods for neural signal processingDiscusses mathematical details for the signal processing and machine learning algorithms applied for electroencephalography data analysisShowcases the detection of dementia from electroencephalography signals using signal processing and machine learning-based techniquesIt is primarily written for senior undergraduates, graduate students, and researchers in the fields of electrical engineering, electronics and communications engineering, and biomedical engineering. The book provides details regarding the application of various signal processing and artificial intelligence-based methods for electroencephalography data analysis. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Rajesh Kumar Tripathy received a B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009 and the M.Tech degree in Biomedical Engineering from the National Instit.…

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.