Prof. Om Prakash Sangwan

About

Prof. Om Prakash Sangwan
Department of Computer Science & Engineering
Guru Jambheshwar University of Science & Technology
Hisar, Haryana

Employment

• Guru Jambheshwar University of Science & Technology Professor
  2014 - Present

Education

• Guru Jambheshwar University of Science & Technology PhD(CSE)
  2007 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (69)

• Hybrid deep learning model for the task scheduling in cloud computing
  IAES International Journal of Artificial Intelligence (IJ-AI) 2026 DOI: 10.11591/ijai.v15.i4.pp3683-3691
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• SaaS reusability assessment using machine learning techniques
  IAES International Journal of Artificial Intelligence (IJ-AI) 2025 DOI: 10.11591/ijai.v14.i3.pp2123-2131
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• Classifying Weather Images using Deep Neural Networks for Large Scale Datasets
  International Journal of Advanced Computer Science and Applications 2023 DOI: 10.14569/IJACSA.2023.0140136
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• Quality of service prediction model in cloud computing using adaptive dynamic programming parameter tuner
  International Journal of Grid and Utility Computing 2023 DOI: 10.1504/IJGUC.2023.129699
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• FEATURE AGGLOMERATION BASED FRAMEWORK FOR SOFTWARE BUG PREDICTION
  Indian Journal of Computer Science and Engineering 2022 DOI: 10.21817/indjcse/2022/v13i3/221303033
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• Random Permutation-based Hybrid Feature Selection for Software Bug Prediction using Bayesian Statistical Validation
  International Journal of Engineering Trends and Technology 2022 DOI: 10.14445/22315381/IJETT-V70I4P216
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• Radial Basis Function Network Based Intelligent Scheme for Software Quality Prediction
  Communications in Computer and Information Science 2022 DOI: 10.1007/978-3-031-05767-0_26
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• Quality Evaluation of Cloud Services Using MCDM Techniques: A Comparative Analysis
  Lecture Notes in Networks and Systems 2022 DOI: 10.1007/978-3-030-96302-6_34
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• Improved novel bat algorithm for test case prioritization and minimization
  Soft Computing 2022 DOI: 10.1007/s00500-022-07121-9
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• Feature reduction techniques for software bug prediction
  AIP Conference Proceedings 2022 DOI: 10.1063/5.0105725
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