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Can I read Machine Intelligence and Signal Analysis (Advances in Intelligent Systems and Computing (748)) on EtoBox?

Machine Intelligence and Signal Analysis (Advances in Intelligent Systems and Computing (748)) by Tanveer, M(Editor);Pachori, Ram Bilas(Editor) is a nonfiction available to read on EtoBox.

What is Machine Intelligence and Signal Analysis (Advances in Intelligent Systems and Computing (748)) about?

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.;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 s

Who reads Machine Intelligence and Signal Analysis (Advances in Intelligent Systems and Computing (748))?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Tanveer, M(Editor);Pachori, Ram Bilas(Editor)
Publisher
Springer Singapore : Imprint: Springer
Published
1840
Language
EN
ISBN
9789811309236
Category
nonfiction
Subjects
Computer Science, Engineering, Science

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