Machine Intelligence and Signal Analysis

• Corporate Author: SpringerLink (Online service)
• Other Authors: Tanveer, M. (Editor, http://id.loc.gov/vocabulary/relators/edt), Pachori, Ram Bilas (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Singapore : Springer Singapore : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Advances in Intelligent Systems and Computing, 748
• Subjects: Computational intelligence.; Signal processing.; Image processing.; Speech processing systems.; Computer communication systems.; Power electronics.; Computational Intelligence.; Signal, Image and Speech Processing.; Computer Communication Networks.; Power Electronics, Electrical Machines and Networks.

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 top...

Table of Contents:

• 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.