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Machine intelligence and data science applicationsproceedings of MIDAS 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Machine intelligence and data science applicationsedited by Amar Ramdane-Cherif ... [et al.].
Reminder of title:	proceedings of MIDAS 2022 /
remainder title:	MIDAS 2022
other author:	Ramdane-Cherif, Amar.
corporate name:
Published:	Singapore :Springer Nature Singapore :2023.
Description:	xvi, 565 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learningCongresses.
Online resource:	https://doi.org/10.1007/978-981-99-1620-7
ISBN:	9789819916207$q(electronic bk.)

Machine intelligence and data science applicationsproceedings of MIDAS 2022 /
Machine intelligence and data science applicationsproceedings of MIDAS 2022 /[electronic resource] :MIDAS 2022edited by Amar Ramdane-Cherif ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xvi, 565 p. :ill., digital ;24 cm. - Algorithms for intelligent systems,2524-7573. - Algorithms for intelligent systems..

Blockchain-supported Sustainable Supply Chain in Industry 4.0 -- COVID 19 Cases In India: A Study on the effect of Weather Factors and Building the Forecast Model -- A Review On Scheduling in Cloud Fog Computing Environments -- Simplifying Handwritten Medical Prescription: OCR Approach.

This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles-Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.

ISBN: 9789819916207$q(electronic bk.)

Standard No.: 10.1007/978-981-99-1620-7doiSubjects--Topical Terms:

384498
Machine learning
--Congresses.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Machine intelligence and data science applicationsproceedings of MIDAS 2022 /
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