Advanced machine intelligence and signal processing / Deepak Gupta, Koj Sambyo, Mukesh Prasad, Sonali Agarwal, editors.
Gupta, Deepak, editor.; Sambyo, Koj, editor.; Prasad, Mukesh, editor.; Agarwal, Sonali, editor.; International Conference on Machine Intelligence and Signal Processing (3rd : 2021 : Jote, India)/
2022
Q325.5
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Title Advanced machine intelligence and signal processing / Deepak Gupta, Koj Sambyo, Mukesh Prasad, Sonali Agarwal, editors.
ISBN 9789811908408 (electronic bk.)
9811908400 (electronic bk.)
9789811908392
9811908397
DOI https://doi.org/10.1007/978-981-19-0840-8
Published Singapore : Springer, [2022]
Copyright ©2022
Language English
Description 1 online resource (xiv, 876 pages) : illustrations (chiefly color).
Item Number 10.1007/978-981-19-0840-8 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary This book covers the latest advancements in the areas of machine learning, computer vision, pattern recognition, computational learning theory, big data analytics, network intelligence, signal processing, and their applications in real world. The topics covered in machine learning involve feature extraction, variants of support vector machine (SVM), extreme learning machine (ELM), artificial neural network (ANN), and other areas in machine learning. The mathematical analysis of computer vision and pattern recognition involves the use of geometric techniques, scene understanding and modeling from video, 3D object recognition, localization and tracking, medical image analysis, and so on. Computational learning theory involves different kinds of learning like incremental, online, reinforcement, manifold, multitask, semi-supervised, etc. Further, it covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. Additionally, it covers the recent developments to network intelligence for analyzing the network information and thereby adapting the algorithms dynamically to improve the efficiency. In the last, it includes the progress in signal processing to process the normal and abnormal categories of real-world signals, for instance signals generated from IoT devices, smart systems, speech, videos, etc., and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), and electromyogram (EMG).
Note Selected papers from the 3rd International Conference on Machine Intelligence and Signal Processing (MISP-2021), held September 23-25 2021, National Institute of Technology Arunachal Pradesh, Jote, India.
Access Note Access limited to authorized users.
Source of Description Online resource; title from PDF title page (SpringerLink, viewed June 29, 2022).
Added Author Gupta, Deepak, editor.
Sambyo, Koj, editor.
Prasad, Mukesh, editor.
Agarwal, Sonali, editor.
Added Meeting Name International Conference on Machine Intelligence and Signal Processing (3rd : 2021 : Jote, India)/
Series Lecture notes in electrical engineering ; v. 858. 1876-1119
Available in Other Form Print version: 9789811908392
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