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Smart Computing Paradigms: Sustainable Computing : Proceedings of Sixth International Conference on Smart Computing and Informatics (SCI 2024), Volume 3 / edited by Vikrant Bhateja, Aimé Lay-Ekuakille, Suresh Limkar, V. V. S. S. S Chakravarthy.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Bhateja, Vikrant.
Contributor:
Lay-Ekuakille, Aimé.
Limkar, Suresh.
Chakravarthy, V. V. S. S. S.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1318
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Telecommunication.
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Physical Description:
1 online resource (607 pages)
Edition:
1st ed. 2025.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
Summary:
The proceeding presents best selected papers presented at 6th International Conference on Smart Computing and Informatics (SCI 2024), held at Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology & Sciences (ANITS), Visakhapatnam, India, during 19 – 20 April 2024. It presents advanced and multi-disciplinary research towards the design of smart computing and informatics. The theme is on a broader front focuses on various innovation paradigms in system knowledge, intelligence and sustainability that may be applied to provide realistic solutions to varied problems in society, environment and industries. The scope is also extended towards the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology and healthcare. The work is published in three volumes.
Contents:
ICT and Smart Tourism A Case Analysis of Chilika Lake’s Eco-Sustainable Tourism
Satellite Image Based Deforestation Detection using Deep Learning
Review of IoT in Education
Utilizing Machine Learning for Enhanced Production Planning in the Food Industry Amidst Uncertain Waste Generation Conditions
Cancer Detection using EfficientNet based CNN model.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9639-39-5
OCLC:
1526864195

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