Dr. Yogesh Rajput

Employment

• Symbiosis Institute of Geoinformatics Assistant Professor
  2022 - 2028

Education

• Department of CS and IT, Dr. B. A. M. University, Aurangabad Ph.D. in Computer Science
  2014 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Offline Signature Verification Using Neural Network Technology
  2024 DOI: 10.1007/978-981-99-8476-3_28
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• The Development of a Tool for the Detection of Cotton Wool Spots, Haemorrhage, and Exudates Using Multi-resolution Analysis
  2024 DOI: 10.1007/978-981-99-4433-0_25
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• Classification of Non-proliferative Diabetic Retinopathy in Terms of Dark and Bright Lesions Using Multi-layered Perceptron (MLP)
  2023 DOI: 10.1007/978-981-99-3761-5_10
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• A Novel Method for Non-Proliferative Diabetic Retinopathy Disease Classification Using Image Processing Techniques
  Neuroquantology Journal 2022
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• Person Identification System Based on Iris Patterns Using Statistical and Machine Learning Techniques
  Neuroquantology Journal 2022
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• Design New Wavelet Filter for Detection and Grading of Non-proliferative Diabetic Retinopathy Lesions
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-981-16-0493-5_1
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• Comparison with Evaluation of Intra Ocular Pressure Using Different Segmentation Techniques for Glaucoma Diagnosis
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9184-2_2
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• Design and Development of New Algorithm for Person Identification Based on Iris Statistical Features and Retinal Blood Vessels Bifurcation Points
  Communications in Computer and Information Science 2019 DOI: 10.1007/978-981-13-9184-2_44
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• Association redetection of Regular insulin and NPH insulin using statistical features
  Proceedings of the 5th International Conference on System Modeling and Advancement in Research Trends, SMART 2016 2017 DOI: 10.1109/SYSMART.2016.7894490
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• Design new biorthogonal wavelet filter for extraction of blood vessels and calculate the statistical features
  Advances in Intelligent Systems and Computing 2016 DOI: 10.1007/978-81-322-2755-7_67
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