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Smart Trends in Computing and Communications : Proceedings of SmartCom 2025, Volume 3 / edited by Tomonobu Senjyu, Chakchai So-In, Amit Joshi.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online

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Format:
Book
Author/Creator:
Senjyu, Tomonobu.
Contributor:
So-In, Chakchai.
Joshi, Amit.
Series:
Lecture Notes in Networks and Systems, 2367-3389 ; 1459
Language:
English
Subjects (All):
Computational intelligence.
Artificial intelligence.
Telecommunication.
Signal processing.
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Signal, Speech and Image Processing.
Local Subjects:
Computational Intelligence.
Artificial Intelligence.
Communications Engineering, Networks.
Signal, Speech and Image Processing.
Physical Description:
1 online resource (634 pages)
Edition:
1st ed. 2026.
Place of Publication:
Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
Summary:
This book gathers high-quality papers presented at the Ninth International Conference on Smart Trends in Computing and Communications (SmartCom 2025), organised by Global Knowledge Research Foundation (GR Foundation) from 29 to 31 January 2025 in Pune, India. It covers state-of-the-art and emerging topics in information, computer communications, and effective strategies for their use in engineering and managerial applications. It also explores and discusses the latest technological advances in, and future directions for, information and knowledge computing and its applications.
Contents:
Aligning Graduate Attributes with Industrial Revolution 4.0 – Recommendations for Indian Technical Institutes
Algorithmic Trading: A Prospect Theory Perspective
Design and Implementation of a Lightweight Smart Garage System: A Cost-Effective Approach.-Exploring the Determinants of NFT usage intention Among Gen Z and Millennials: A UTAUT2 Model Approach
Enhancing Law Enforcement with Open-Source Intelligence (OSINT): Strategies, Tools, and Ethical Implications.-Liver Disease Detection Using AI-ML
Precision Rainfall Prediction in India: A Machine Learning Approach for Sustainable Agriculture
Etc. .
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9675-05-7
9789819675050
OCLC:
1547924560

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