| 書目名稱 | Machine Intelligence and Signal Analysis | | 編輯 | M. Tanveer,Ram Bilas Pachori | | 視頻video | http://file.papertrans.cn/621/620358/620358.mp4 | | 概述 | Presents the latest advances in the area of data mining, artificial intelligence, optimization, machine learning methods and algorithms.Discusses applications for studying human brain and heart disord | | 叢書名稱 | Advances in Intelligent Systems and Computing | | 圖書封面 |  | | 描述 | .The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as: deep learning, soft computing approaches, support vector machines (SVMs), least square SVMs (LSSVMs) and their variants; and covers the topics of signal analysis such as: biomedical signals including electroencephalogram (EEG), magnetoencephalography (MEG), electrocardiogram (ECG) and electromyogram (EMG) as well as other signals such as speech signals, communication signals, vibration signals, image, and video. Further, it analyzes normal and abnormal categories of real-world signals, for example normal and epileptic EEG signals using numerous classification techniques. The book is envisioned for researchers and graduate students in Computer Science and Engineering, Electrical Engineering, Applied Mathematics, and Biomedical Signal Processing.. | | 出版日期 | Conference proceedings 2019 | | 關鍵詞 | Signal Processing; Machine Learning; Conference Proceedings; MISP; Early Diagnosis of Alzheimer disease; | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-0923-6 | | isbn_softcover | 978-981-13-0922-9 | | isbn_ebook | 978-981-13-0923-6Series ISSN 2194-5357 Series E-ISSN 2194-5365 | | issn_series | 2194-5357 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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