Vendeur : BOOKINGDOM & PROTON ISF, NASHUA, NH, Etats-Unis
Edition originale
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Ajouter au panierSoft cover. Etat : New. 1st Edition. New/New Author: Bajaj PhD, VarunEdition: 1ISBN-13: 9780275977900Release Date: 08-03-2022Package Dimensions: 93 x 75 x 09 inchesLanguages: EnglishBinding: paperback.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 214,61
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Ajouter au panierEtat : New.
Langue: anglais
Edité par Elsevier Science and Technology, GB, 2022
ISBN 10 : 0323911978 ISBN 13 : 9780323911979
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
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Ajouter au panierPaperback. Etat : New. Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services.
Langue: anglais
Edité par Elsevier Science & Technology, 2022
ISBN 10 : 0323911978 ISBN 13 : 9780323911979
Vendeur : moluna, Greven, Allemagne
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Ajouter au panierEtat : New. Inhaltsverzeichnis1. Introduction to Artificial Intelligence and Brain-Computer Interface2. Development BCI Using AI Diagnosis of Epileptic Seizure Disorders3. AI-Based BCI for Identification of Sleep Disorders Using EEG Signals.
Langue: anglais
Edité par Elsevier Science and Technology, GB, 2022
ISBN 10 : 0323911978 ISBN 13 : 9780323911979
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 250,77
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Ajouter au panierPaperback. Etat : New. Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services.
Langue: anglais
Edité par Elsevier Science & Technology Mär 2022, 2022
ISBN 10 : 0323911978 ISBN 13 : 9780323911979
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Neuware - Artificial Intelligence-Based Brain Computer Interface provides concepts of AI for the modeling of non-invasive modalities of medical signals such as EEG, MRI and FMRI. These modalities and their AI-based analysis are employed in BCI and related applications. The book emphasizes the real challenges in non-invasive input due to the complex nature of the human brain and for a variety of applications for analysis, classification and identification of different mental states. Each chapter starts with a description of a non-invasive input example and the need and motivation of the associated AI methods, along with discussions to connect the technology through BCI. Major topics include different AI methods/techniques such as Deep Neural Networks and Machine Learning algorithms for different non-invasive modalities such as EEG, MRI, FMRI for improving the diagnosis and prognosis of numerous disorders of the nervous system, cardiovascular system, musculoskeletal system, respiratory system and various organs of the body. The book also covers applications of AI in the management of chronic conditions, databases, and in the delivery of health services.
Edité par Academic Press, 2022
ISBN 10 : 0275977900 ISBN 13 : 9780275977900
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : Revaluation Books, Exeter, Royaume-Uni
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Ajouter au panierPaperback. Etat : Brand New. 376 pages. 9.00x7.50x0.75 inches. In Stock. This item is printed on demand.