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Artificial Intelligence and Data Science Based R

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Cover of 'Artificial Intelligence and Data Science Based R&D Interventions'

Table of Contents

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    Book Overview
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    Chapter 1 Negation in a Language
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    Chapter 2 COVID-19 Neologism in the Assamese Language
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    Chapter 3 A Computational Approach for the Tonal Identification in Bodo Language
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    Chapter 4 Real-Time Detection of Natural Scene Assamese Texts Using Deep Learning
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    Chapter 5 Development of Directional Drilling Well Profile Design App Using Python
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    Chapter 6 Multi-objective Optimization in NOMA-IoT Networks
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    Chapter 7 Prediction and Forecasting Municipal Solid Waste Generation of Northeastern Cities by Retrofitting ML Models of Guwahati, India
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    Chapter 8 Trajectory Tracking and Control of Unmanned Aerial Vehicle (UAV): A Particle Swarm Optimization-Based Approach
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    Chapter 9 Prediction of Transient Bed Profiles in an Aggrading Stream Using ANN
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    Chapter 10 Fuzzy Set-Based Estimation of Closed-Die Forging Load Using the Shop Floor Data
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    Chapter 11 A Survey on Fault Tolerant Control of Unmanned Underwater Vehicles
Attention for Chapter 6: Multi-objective Optimization in NOMA-IoT Networks
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Chapter title
Multi-objective Optimization in NOMA-IoT Networks
Chapter number 6
Book title
Artificial Intelligence and Data Science Based R&D Interventions
Published by
Springer, Singapore, January 2023
DOI 10.1007/978-981-99-2609-1_6
Book ISBNs
978-9-81-992608-4, 978-9-81-992609-1
Authors

Majhi, Sumita, Mitra, Pinaki

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