1 option
Smart Trends in Computing and Communications : Proceedings of SmartCom 2025, Volume 10 / 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 ; 1465
- 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 (609 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:
- Integrating Machine Learning for Precision Prediction of Type 2 Diabetes Onset: Insights from Lifestyle and Genetic Data
- Innovative Crop Diseases Database Design for ASR-Based Prediction
- Analysis and Classification of Water Quality Using Machine Learning Technique
- Forecasting electricity consumption using ARIMA model
- Comparative Analysis of Deep Learning Models for Speech-to-Text and Text-to-Speech conversion
- Smart Energy Meter
- Challenges and Future Directions in Fishing Area Identification: Balancing Ecosystem Preservation with Industry Sustainability
- Etc. .
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9675-17-0
- 9789819675173
- OCLC:
- 1547923256
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.