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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Machine learning and computational intelligence techniques for data engineeringedited by Pradeep Singh ... [et al.].
其他題名:	proceedings of the 4th International Conference MISP 2022.
其他題名:	MISP 2022
其他作者:	Singh, Pradeep.
團體作者:
出版者:	Singapore :Springer Nature Singapore :2023.
面頁冊數:	1 online resource (xiv, 896 p.) :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Machine learningCongresses.
電子資源:	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

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