Machine Intelligence and Signal Analysis (Advances in Intelligent...
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- Type E-Books
- Language English
- Total size 28.5 MB
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Book details
Format: pdf
File Size: 28.47 MB
Print Length: 767 pages
Publisher: Springer; 1st ed. 2019 edition (7 August 2018)
Sold by: Amazon Asia-Pacific Holdings Private Limited
Language: English
ASIN: B07FKG5CCX
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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[NulledPremium.com] Machine Intelligence and Signal Analysis- (Advances in Intelligent Systems and Computing 748) M. Tanveer, Ram Bilas Pachori - Machine Intelligence and Signal Analysis (2019).pdf (28.5 MB)
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