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Machine learning and computational intelligence techniques for data engineeringproceedings of the 4th International Conference MISP 2022.Volume 2 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine learning and computational intelligence techniques for data engineeringedited by Pradeep Singh ... [et al.].
Reminder of title:	proceedings of the 4th International Conference MISP 2022.
remainder title:	MISP 2022
other author:	Singh, Pradeep.
corporate name:
Published:	Singapore :Springer Nature Singapore :2023.
Description:	1 online resource (xiv, 896 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-99-0047-3
ISBN:	9789819900473$q(electronic bk.)

Machine learning and computational intelligence techniques for data engineeringproceedings of the 4th International Conference MISP 2022.Volume 2 /
Machine learning and computational intelligence techniques for data engineeringproceedings of the 4th International Conference MISP 2022.Volume 2 /[electronic resource] :MISP 2022edited by Pradeep Singh ... [et al.]. - Singapore :Springer Nature Singapore :2023. - 1 online resource (xiv, 896 p.) :ill. (some col.), digital ;24 cm. - Lecture notes in electrical engineering,v. 9981876-1119 ;. - Lecture notes in electrical engineering ;v.132..

This book comprises the proceedings of the 4th International Conference on Machine Intelligence and Signal Processing (MISP2022) The contents of this book focus on research advancements in machine intelligence, signal processing, and applications. The book covers the real-time challenges involved while processing big data analytics and stream processing with the integration of smart data computing services and interconnectivity. It also includes the progress in signal processing to process the normal and abnormal categories of real-world signals such as signals generated from IoT devices, smart systems, speech, videos and involves biomedical signal processing: electrocardiogram (ECG), electroencephalogram (EEG), magnetoencephalography (MEG), electromyogram (EMG), etc. This book proves to be a valuable resource for those in academia and industry.

ISBN: 9789819900473$q(electronic bk.)

Standard No.: 10.1007/978-981-99-0047-3doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine learning and computational intelligence techniques for data engineeringproceedings of the 4th International Conference MISP 2022.Volume 2 /
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