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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Machine Intelligence and Signal Analysis
• Author: Ram Bilas Pachori, M. Tanveer
• Language: English
• Binding: Paperback
• Number of pages: 767
• EAN: 9789811309229
• ISBN: 9811309221
• ID: 19437438
• Publisher: Springer Verlag, Singapore
• Weight: 1173 g
• Dimensions: 235 × 155 × 44 mm
• Date of publishing: 08. August 2018

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