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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
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Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
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Publicado por LAP LAMBERT Academic Publishing Sep 2021, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware -Dr Nookala Venu received B.Tech in Electronics & Communication Engineering from Sri Kalahasteeswara Institute of Technology, Tirupati, M.Tech in Instrumentation and Control Systems, JNTU from Kakinada and Ph.D in Signal and Image Processing from Sri Venkateswara University, Tirupati, Andhra Pradesh India. He currently working as Associate Professor in Balaji Institute of Technology and Science, Warangal, Telangana, India. His research areas includes Signal Processing, Image Processing, He has teaching experience for 15 years. He published 15 journals, 23 Papers Presented in Conferences.Books on Demand GmbH, Überseering 33, 22297 Hamburg 120 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
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Añadir al carritoTaschenbuch. Condición: Neu. Speech Signal Processing Strategies for Cochlear Implants | Nookala Venu | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204205687 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Añadir al carritoBuch. Condición: Neu. Neuware - Explore emerging applications for AI, machine learning, and deep learning in biomedical imaging technologies.
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Publicado por Elsevier Science & Technology Nov 2024, 2024
ISBN 10: 0323954375 ISBN 13: 9780323954372
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human-machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.
Publicado por LAP LAMBERT Academic Publishing Sep 2021, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
Idioma: Inglés
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Dr Nookala Venu received B.Tech in Electronics & Communication Engineering from Sri Kalahasteeswara Institute of Technology, Tirupati, M.Tech in Instrumentation and Control Systems, JNTU from Kakinada and Ph.D in Signal and Image Processing from Sri Venkateswara University, Tirupati, Andhra Pradesh India. He currently working as Associate Professor in Balaji Institute of Technology and Science, Warangal, Telangana, India. His research areas includes Signal Processing, Image Processing, He has teaching experience for 15 years. He published 15 journals, 23 Papers Presented in Conferences. 120 pp. Englisch.
Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
Idioma: Inglés
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Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 87,78
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Publicado por LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204205684 ISBN 13: 9786204205687
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Dr Nookala Venu received B.Tech in Electronics & Communication Engineering from Sri Kalahasteeswara Institute of Technology, Tirupati, M.Tech in Instrumentation and Control Systems, JNTU from Kakinada and Ph.D in Signal and Image Processing from Sri Venkateswara University, Tirupati, Andhra Pradesh India. He currently working as Associate Professor in Balaji Institute of Technology and Science, Warangal, Telangana, India. His research areas includes Signal Processing, Image Processing, He has teaching experience for 15 years. He published 15 journals, 23 Papers Presented in Conferences.
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Añadir al carritoPaperback. Condición: Brand New. 420 pages. 9.25x7.50x9.25 inches. In Stock. This item is printed on demand.
Publicado por Elsevier Science & Technology, Oxford, 2024
ISBN 10: 0323954375 ISBN 13: 9780323954372
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 174,54
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Añadir al carritoPaperback. Condición: new. Paperback. Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of humanmachine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.