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Artificial Intelligence and Data Science Based R&D Interventions [electronic resource] : Proceedings of NERC 2022 / edited by Ratnajit Bhattacharjee, Debanga Raj Neog, Konda Reddy Mopuri, Santosh Kumar Vipparthi.

Contributor(s): Material type: TextTextLanguage: English Publication details: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.Edition: 1st ed. 2023Description: XXVIII, 205 p. 113 illus., 85 illus. in color. online resourceISBN:
  • 9789819926091
Subject(s): DDC classification:
  • 006.3 23
Online resources:
Contents:
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.
Summary: 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.
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Holdings
Item type Current library Call number Materials specified Status Date due Barcode Item holds
E-Books E-Books National Library of India Online Resource 006.3 (Browse shelf(Opens below)) Available EBK000043644ENG
Total holds: 0

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.

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