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商品詳細
Artificial Intelligence Enabled Signal Processing based Models for Neural Information Processing.
・ISBN 978-1-032-52930-1 hard GB£ 145.99
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| 著者・編者 | Tripathy, Rajesh Kumar / Pachori, Ram Bilas (eds.), |
|---|---|
| 出版社 | (CRC Press, UK) |
| 出版年月 | 2024 |
| ページ数 | 210 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A02-10629＞ |
解説
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.