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Deep Learning Technologies for the Sustainable Development Goals : Issues and Solutions in the Post-COVID Era
other
Editor(s):
Virender Kadyan
,
T. P. Singh
,
Chidiebere Ugwu
Publication date
(Print):
2023
Publisher:
Springer Nature Singapore
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There is no author summary for this book yet. Authors can add summaries to their books on ScienceOpen to make them more accessible to a non-specialist audience.
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UN Sustainable Development Goals
Author and book information
Book
ISBN (Print):
978-981-19-5722-2
ISBN (Electronic):
978-981-19-5723-9
Publication date (Print):
2023
DOI:
10.1007/978-981-19-5723-9
SO-VID:
3e323d5d-6574-4002-bd6e-dd7015ae851a
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Book chapters
pp. 1
How Deep Learning Can Help in Regulating the Subscription Economy to Ensure Sustainable Consumption and Production Patterns (12th Goal of SDGs)
pp. 21
Deep Technologies Using Big Data in: Energy and Waste Management
pp. 41
QoS Aware Service Provisioning and Resource Distribution in 4G/5G Heterogeneous Networks
pp. 51
Leveraging Fog Computing for Healthcare
pp. 69
Intelligent Self-tuning Control Design for Wastewater Treatment Plant Based on PID and Model Predictive Methods
pp. 83
Impact of Deep Learning Models for Technology Sustainability in Tourism Using Big Data Analytics
pp. 97
Study of UAV Management Using Cloud-Based Systems
pp. 111
Contemporary Role of Blockchain in Industry 4.0
pp. 123
SDGs Laid Down by UN 2030 Document
pp. 133
Healthcare 4P: Systematic Review of Applications of Decentralized Trust Using Blockchain Technology
pp. 157
Implementation of an IoT-Based Water and Disaster Management System Using Hybrid Classification Approach
pp. 175
ANN: Concept and Application in Brain Tumor Segmentation
pp. 189
Automation of Brain Tumor Segmentation Using Deep Learning
pp. 203
Transportation Management Using IoT
pp. 227
Enhancing Shoppers’ Loyalty by Prioritizing Customer-Centricity Drivers in the Retail Industry
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