عنوان

Machine intelligence and signal analysis /

(Number (ISBN

9789811309229

(Number (ISBN

9789811309236

(Number (ISBN

9789811309243

(Number (ISBN

9811309221

(Number (ISBN

981130923X

(Number (ISBN

9811309248

Erroneous ISBN

9789811309229

Title Proper

Machine intelligence and signal analysis /

General Material Designation

[Book]

First Statement of Responsibility

M. Tanveer, Ram Bilas Pachori, editors.

Place of Publication, Distribution, etc.

Singapore :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource :

Other Physical Details

illustrations

Series Title

Advances in intelligent systems and computing ;

Volume Designation

volume 748

Text of Note

Includes bibliographical references and index.

Text of Note

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.

0

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9789811309236

International Standard Book Number

9789811309229

International Standard Book Number

9789811309243

Artificial intelligence.

Machine learning.

Signal processing.

Artificial intelligence.

COMPUTERS-- General.

Machine learning.

Signal processing.

COM-- 000000

UYQ

UYQ

Number

Edition

Class number

Pachori, Ram Bilas

Tanveer, M.

International Conference on Machine Intelligence and Signal Processing(2017 :, India)

Date of Transaction

20200823224314.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y