عنوان

Machine intelligence and signal analysis /

شابک

9789811309229

شابک

9789811309236

شابک

9789811309243

شابک

9811309221

شابک

981130923X

شابک

9811309248

شابک اشتباه

9789811309229

عنوان اصلي

Machine intelligence and signal analysis /

نام عام مواد

[Book]

نام نخستين پديدآور

M. Tanveer, Ram Bilas Pachori, editors.

محل نشرو پخش و غیره

Singapore :

نام ناشر، پخش کننده و غيره

Springer,

تاریخ نشرو بخش و غیره

[2019]

نام خاص و کميت اثر

1 online resource :

ساير جزييات

illustrations

عنوان فروست

Advances in intelligent systems and computing ;

مشخصه جلد

volume 748

متن يادداشت

Includes bibliographical references and index.

متن يادداشت

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.

بدون عنوان

0

متن يادداشت

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.

منبع سفارش / آدرس اشتراک

Springer Nature

شماره انبار

com.springer.onix.9789811309236

شماره استاندارد بين المللي کتاب و موسيقي

9789811309229

شماره استاندارد بين المللي کتاب و موسيقي

9789811309243

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Signal processing.

موضوع مستند نشده

Artificial intelligence.

موضوع مستند نشده

COMPUTERS-- General.

موضوع مستند نشده

Machine learning.

موضوع مستند نشده

Signal processing.

موضوع مستند نشده

COM-- 000000

موضوع مستند نشده

UYQ

موضوع مستند نشده

UYQ

شماره

ويراست

شماره رده

مستند نام اشخاص تاييد نشده

Pachori, Ram Bilas

مستند نام اشخاص تاييد نشده

Tanveer, M.

مستند نام تنالگان تاييد نشده

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

تاريخ عمليات

20200823224314.0

قواعد فهرست نويسي ( بخش توصيفي )

pn

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y