1 option
Computing and Machine Learning : Proceedings of CML 2025, Volume 2 / edited by Jagdish Chand Bansal, Samarjeet Borah, Shahid Hussain, Said Salhi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Bansal, Jagdish Chand.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1613
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Image processing--Digital techniques.
- Image processing.
- Computer vision.
- Natural language processing (Computer science).
- Computational Intelligence.
- Artificial Intelligence.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Natural Language Processing (NLP).
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Computer Imaging, Vision, Pattern Recognition and Graphics.
- Natural Language Processing (NLP).
- Physical Description:
- 1 online resource (0 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- This book features high-quality research papers presented at the International Conference on Computing and Machine Learning (CML 2025), organized by the Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim Manipal University, Sikkim, India, during March 22–23, 2025. The book presents diverse range of topics, including machine learning algorithms and models, deep learning and neural networks, computer vision and image processing, natural language processing, robotics and automation, reinforcement learning, big data analytics, cloud computing, Internet of things, human–robot interaction, ethical and social implications of AI, applications in health care, finance, and industry, computer modeling, quantum computing, high-performance computing, cognitive and parallel computing, cloud computing, distributed computing, embedded computing, human-centered computing, and mobile computing.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9528-75-5
- 9789819528752
- OCLC:
- 1572094547
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 If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.