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Smart Trends in Computing and Communications : Proceedings of SmartCom 2025, Volume 9 / edited by Tomonobu Senjyu, Chakchai So-In, Amit Joshi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Senjyu, Tomonobu.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1464
- 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 (626 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:
- Enhancing Image Compression via Interval Arithmetic Vector Quantization and CNN
- The Smart Footwear : A Survey Report
- Cyber Attack Network Investigation System Using ML.-A BIBILOMETRIC APPROACH OF ARTIFICIAL INTELLIGENCE IN SUSTAINABLE FINANCE.-A Comprehensive Exploration of AI-Based Approaches and Various Machine Learning Techniques for Detecting Lung Cancer.-Contemporary Cryptography Against Quantum Computing and LBC on Embedded Systems.-Rainfall Prediction Using Machine Learning
- Etc. .
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9675-20-0
- 9789819675203
- OCLC:
- 1547925350
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