Mayuri A. Mehta

About

Dr. Mayuri is a passionate learner, teacher and researcher. She is working as a Professor and PG In-Charge in the Department of Computer Engineering, Sarvajanik College of Engineering and Technology, Surat, Gujarat. She has 20 years of teaching experience including 11 years of research experience. Her areas of teaching and research include Data Science, Machine Learning & Deep Learning, Health Informatics, Computer Algorithms, and Python Programming. Her AI-powered Healthcare project was approved for fund by Multidisciplinary Research Unit of Surat Municipal Institute of Medical Education and Research (SMIMER). She has also received funds several times from Gujarat Council on Science and Technology (GUJCOST). She was invited in several International Conferences as well as in several FDPs/STTPs to conduct tutorial/workshop and to deliver a technical talk. With the noble intention of applying her technical knowledge for societal impact, she is working on several healthcare projects in association with the doctors doing private practice and the doctors of Medical Colleges and their Local Research Units (LRU), which reflect her research outlook.

Employment

• Sarvajanik College of Engineering and Technology Professor

Education

• S V National Institute of Technology Ph.D.

Projects & Funding

Projects & funding information is unavailable.

Publications (28)

• Technology Acceptance Level (TAL): A Human-Centered Metric for Evaluating Trustworthy Artificial Intelligence in Agriculture
  2026 DOI: 10.2139/ssrn.6791091
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• Transformer-powered precision: A DETR-based approach for robust detection in medical ultrasound with cholelithiasis as a case study
  Computational and Structural Biotechnology Journal 2025 DOI: 10.1016/j.csbj.2025.10.037
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• Effective Stemmers Using Trie Data Structure for Enhanced Processing of Gujarati Text
  International Journal of Computational Intelligence Systems 2024 DOI: 10.1007/s44196-024-00679-2
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• A Systematic Review of Stemmers of Indian and Non-Indian Vernacular Languages
  ACM Transactions on Asian and Low-Resource Language Information Processing 2024 DOI: 10.1145/3604612
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• Digital Transformation of Public Services: Introduction, Current Trends and Future Directions
  2024 DOI: 10.1007/978-3-031-55575-6_1
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• An Overview of Explainable AI Methods, Forms and Frameworks
  2023 DOI: 10.1007/978-3-031-12807-3_3
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• Deep Learning-Based Dermatological Condition Detection: A Systematic Review With Recent Methods, Datasets, Challenges, and Future Directions
  IEEE Access 2023 DOI: 10.1109/ACCESS.2023.3339635
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• A Hybrid Linear Iterative Clustering and Bayes Classification-Based GrabCut Segmentation Scheme for Dynamic Detection of Cervical Cancer
  Applied Sciences 2022 DOI: 10.3390/app122010522
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• A Comparative Study of Forehead Landmarking Techniques
  Proceedings of the 4th International Conference on Trends in Electronics and Informatics, ICOEI 2020 2020 DOI: 10.1109/ICOEI48184.2020.9142901
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• A comprehensive survey on image modality based computerized dry eye disease detection techniques
  Advances in Science, Technology and Engineering Systems 2020 DOI: 10.25046/aj050293
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