Machine Intelligence and Signal Analysis

Released on by M. Tanveer
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  • Machine Intelligence and Signal Analysis Book Detail

  • Author : M. Tanveer
  • Release Date : 2018-08-07
  • Publisher : Springer
  • Genre : Technology & Engineering
  • Pages : 757
  • ISBN 13 : 981130923X
  • File Size : 79,79 MB
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Machine Intelligence and Signal Analysis by M. Tanveer PDF Summary

Book Description: 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.

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Machine Intelligence and Signal Analysis

Machine Intelligence and Signal Analysis

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The book covers the most recent developments in machine learning, signal analysis, and their applications. It covers the topics of machine intelligence such as:

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Machine Intelligence and Signal Processing

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This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal Processing (MISP 2019), he