Machine Intelligence and Signal Analysis

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...

Ful tanımlama

Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Tanveer, M. (Editör), Pachori, Ram Bilas (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Singapore : Springer Nature Singapore : Imprint: Springer, 2019.
Edisyon:1st ed. 2019.
Seri Bilgileri:Advances in Intelligent Systems and Computing, 748
Konular:
Computational intelligence.
Signal processing.
Computer networks .
Electric power production.
Computational Intelligence.
Signal, Speech and Image Processing.
Computer Communication Networks.
Electrical Power Engineering.
Online Erişim:Full-text access
OPAC'ta görüntüle
İçindekiler:
  • 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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