DILIP KUMAR YADAV

Employment

• National Institute of Technology Jamshedpur Associate Professor
  1996 - Present

Education

• Indian Institute of Technology Kharagpur Ph.D
  2006 - 2012
• National Institute of Technology Jamshedpur M.Tech (Computer Integrated Design and Manufacturing)
  1991 - 1994
• National Institute of Technology Jamshedpur B.Sc. Engineering (Mechanical)
  1987 - 1991

Projects & Funding

Projects & funding information is unavailable.

Publications (48)

• Ensembled Fault-Prone Software Module Prediction Model for Imbalanced Dataset
  2026 DOI: 10.1007/978-981-95-7350-9_27
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• IoT based distance alarm system for enhancing security in smart cities
  Discover Internet of Things 2025 DOI: 10.1007/s43926-025-00258-7
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• ROS-XGB: a machine learning model for software defect prediction
  International Journal of System Assurance Engineering and Management 2025 DOI: 10.1007/s13198-025-02906-1
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• Integrating different colour spaces for colour and contrast correction in underwater images
  International Journal of System Assurance Engineering and Management 2025 DOI: 10.1007/s13198-024-02604-4
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• SQL Injection Attack Detection Based on Similarity Matching Between Vectors Extracted From Design Time and Run-Time Queries
  International Journal of Experimental Research and Review 2024 DOI: 10.52756/ijerr.2024.v42.001
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• Integrating Different Colour Spaces for Colour and Contrast Correction in Underwater Images
  2024 DOI: 10.21203/rs.3.rs-4459917/v1
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• Multi-illumination Mapping-Based Fusion Method for Low-Light Area’s Visibility and Backlit Image Enhancement
  Arabian Journal for Science and Engineering 2024 DOI: 10.1007/s13369-023-07923-5
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• Multiple feature-based contrast enhancement of ROI of backlit images
  Machine Vision and Applications 2022 DOI: 10.1007/s00138-021-01272-9
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• Region of interest enhancement for backlit images using global tone mappings and fusion
  The Imaging Science Journal 2021 DOI: 10.1080/13682199.2022.2149056
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• Enhancement of Region of Interest from a Single Backlit Image with Multiple Features
  2021 DOI: 10.1007/978-981-16-1092-9_39
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