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Intelligent Systems : Proceedings of 4th International Conference on Machine Learning, IoT and Big Data (ICMIB 2024), Volume 1 / edited by Siba K. Udgata, Srinivas Sethi, George Ghinea, Sanjay Kumar Kuanar.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online
View online- Format:
- Book
- Author/Creator:
- Udgata, Siba K.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1314
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Machine learning.
- Big data.
- Internet of things.
- Cooperating objects (Computer systems).
- Computational Intelligence.
- Machine Learning.
- Big Data.
- Internet of Things.
- Cyber-Physical Systems.
- Local Subjects:
- Computational Intelligence.
- Machine Learning.
- Big Data.
- Internet of Things.
- Cyber-Physical Systems.
- Physical Description:
- 1 online resource (628 pages)
- Edition:
- 1st ed. 2025.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2025.
- Summary:
- This book features best selected research papers presented at the Fourth International Conference on Machine Learning, Internet of Things and Big Data (ICMIB 2024) held at GIET University, Gunupur, India, during 8–10 April 2024. It comprises high-quality research work by academicians and industrial experts in the field of machine learning, mobile computing, natural language processing, fuzzy computing, green computing, human–computer interaction, information retrieval, intelligent control, data mining and knowledge discovery, evolutionary computing, IoT and applications in smart environments, smart health, smart city, wireless networks, big data, cloud computing, business intelligence, Internet security, pattern recognition, predictive analytics applications in health care, sensor networks and social sensing, and statistical analysis of search techniques. .
- Contents:
- Optimizing Lung Cancer Risk Prediction
- Hybridizing Fully Informed Search
- Drug Recommendation System for Humans
- Assessment of tooth wear
- SSTSM A Black Box Test.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9637-97-X
- OCLC:
- 1544984725
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