Chapter 1: Detecting R-peaks in Electrocardiogram signal using Hilbert envelope -- Chapter 2: Lung Nodule Identification and Classification from Distorted CT Images for Diagnosis and Detection of Lung Cancer -- Chapter 3: Baseline wander and power-line interference removal from ECG signals using Fourier decomposition method -- Chapter 4: Baseline wander and power-line interference removal from ECG signals using Fourier decomposition method -- Chapter 5: An Empirical Analysis of Instance-based Transfer Learning Approach on Protease Substrate Cleavage Sites Prediction -- Chapter 6: Comparison analysis: single and multichannel EMD based filtering with application to BCI -- Chapter 7: A 2-norm Squared Fuzzy-based Least Squares Twin Parametric-margin Support Vector Machine -- Chapter 8: Redesign of a Railway Coach for Safe and Independent Travel of Elderly.
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SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811309236
OTHER EDITION IN ANOTHER MEDIUM
International Standard Book Number
9789811309229
International Standard Book Number
9789811309243
TOPICAL NAME USED AS SUBJECT
Artificial intelligence.
Machine learning.
Signal processing.
Artificial intelligence.
COMPUTERS-- General.
Machine learning.
Signal processing.
(SUBJECT CATEGORY (Provisional
COM-- 000000
UYQ
UYQ
DEWEY DECIMAL CLASSIFICATION
Number
006
.
31
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
Q325
.
5
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Pachori, Ram Bilas
Tanveer, M.
CORPORATE BODY NAME - ALTERNATIVE RESPONSIBILITY
International Conference on Machine Intelligence and Signal Processing(2017 :, India)