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Smart Trends in Computing and Communications : Proceedings of SmartCom 2025, Volume 8 / 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 ; 1463
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 (658 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:
IoT-Based Smart Cattle Health Monitoring System Using Machine Learning for Real-Time Anomaly Detection
Harnessing AI for Personalized Training: Opportunities and Challenges
The Role of Technology in Subsistence Farming: Data-Driven Insights and Challenges
Decoding Customer Sentiment: A BERTopic Approach to Review Analysis of Heritage Tourism
Empathetic Response Generation Using Big Five Ocean Model and Generative AI.-ENHANCING SEARCH EFFICIENCY: A PERSONALIZED, PROFESSION-BASED APPROACH USING AIML-DRIVEN BROWSER EXTENSIONS
Fraud Detection in Insurance Using Machine Learning
Integrated Approaches for Secure and Predictive Management of Electronic Health Records: A Review
Etc. .
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
981-9675-14-6
9789819675142
OCLC:
1547923019

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