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Artificial intelligence and data sci...

North-East Research Conclave ((2022 :)

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Artificial intelligence and data science based R&D interventions = proceedings of NERC 2022 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Artificial intelligence and data science based R&D interventions/ edited by Ratnajit Bhattacharjee ... [et al.].
其他題名:	proceedings of NERC 2022 /
其他題名:	NERC 2022
其他作者:	Bhattacharjee, Ratnajit.
團體作者:	North-East Research Conclave
出版者:	Singapore :Springer Nature Singapore : : 2023.,
面頁冊數:	xxviii, 205 p. :ill. (some col.), digital ;24 cm.
內容註:	Negation in A Language -- A Computational Approach for the Tonal Identification in Bodo Language -- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning -- Development Of Directional Drilling Well Profile Design App Using Python -- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India.
Contained By:	Springer Nature eBook
標題:	Computer science - Congresses. -
電子資源:	https://doi.org/10.1007/978-981-99-2609-1
ISBN:	9789819926091

Artificial intelligence and data science based R&D interventions = proceedings of NERC 2022 /
Artificial intelligence and data science based R&D interventionsproceedings of NERC 2022 /[electronic resource] :NERC 2022edited by Ratnajit Bhattacharjee ... [et al.]. - Singapore :Springer Nature Singapore :2023. - xxviii, 205 p. :ill. (some col.), digital ;24 cm.

Negation in A Language -- A Computational Approach for the Tonal Identification in Bodo Language -- Real-Time Detection of Natural Scene Assamese Texts using Deep Learning -- Development Of Directional Drilling Well Profile Design App Using Python -- Prediction and forecasting municipal solid waste generation of Northeastern cities by retrofitting ML models of Guwahati, India.

This book title is a composition of multiple research efforts that are based on cutting-edge Artificial Intelligence (AI) techniques. Some of the signal processing problems are addressed with techniques from the broad areas of machine learning and deep learning.

ISBN: 9789819926091

Standard No.: 10.1007/978-981-99-2609-1doiSubjects--Topical Terms:

606819
Computer science
--Congresses.

LC Class. No.: QA75.5

Dewey Class. No.: 004

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