Artificial Intelligence and Data Science Based R&D Interventions [electronic resource] : Proceedings of NERC 2022 /

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Material type: Text

TextPublisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXVIII, 205 p. 113 illus., 85 illus. in color. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9789819926091

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:

006.3 23

LOC classification:

Q334-342
TA347.A78

Online resources:

Click here to access online

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.

In: Springer Nature eBookSummary: 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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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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