Open Access
SHS Web Conf.
Volume 140, 2022
2022 International Conference on Information Technology in Education and Management Engineering (ITEME2022)
Article Number 01016
Number of page(s) 6
Published online 25 May 2022
  1. Vishaal Chandrasekar. Artificial Intelligence and Machine Learning: Python Based Face and Image Recognition. Journal of Research in Science and Engineering, 3(2021) [Google Scholar]
  2. Sumanth Naga Deepak G, Rohit B, Akhil Ch, Sai Surya Chandra Bharath D, Prakash Kolla Bhanu. An Approach for Morse Code Translation from Eye Blinks Using Tree Based Machine Learning Algorithms and OpenCV. Journal of Physics: Conference Series, 1921(2021): [Google Scholar]
  3. Om Prakash Jena, Sabyasachi Pramanik, Ahmed A. Elngar. Machine Learning Adoption in Blockchain-Based Intelligent Manufacturing:Theoretical Basics, Applications, and Challenges (2022). [Google Scholar]
  4. Anuj Karpatne, Ramakrishnan Kannan, Vipin Kumar. Knowledge Guided Machine Learning:Accelerating Discovery using Scientific Knowledge and Data (2022). [Google Scholar]
  5. William P. Fox, Robert E. Burks. Modeling Change and Uncertainty:Machine Learning and Other Techniques (2022). [Google Scholar]
  6. Rui Yang, Maiying Zhong. Machine Learning-Based Fault Diagnosis for Industrial Engineering Systems (2021) [Google Scholar]
  7. Xia-An Bi, Yiming Xie, Hao Wu, Luyun Xu. Identification of differential brain regions in MCI progression via clustering-evolutionary weighted SVM ensemble algorithm. Frontiers of Computer Science, 15(2021) [Google Scholar]
  8. Fayed Hatem A., Atiya Amir F.. Decision boundary clustering for efficient local SVM. Applied Soft Computing Journal, 110(2021) [Google Scholar]
  9. Xingpo Liu, Muzi Lu, Yaozhi Chai, Jue Tang, Jinyan Gao. A comprehensive framework for HSPF hydrological parameter sensitivity, optimization and uncertainty evaluation based on SVM surrogate modelA case study in Qinglong River watershed, China. Environmental Modelling & Software, 143(2021) [Google Scholar]
  10. Liu Ling, Martín-Barragán Belén, Prieto Francisco J.. A projection multi-objective SVM method for multi-class classification. Computers & Industrial Engineering, 158(2021) [Google Scholar]

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