Mary Dayana A

About

Ms. A. Mary Dayana, India, received B. Sc. degree from Madurai Kamaraj University, Master’s degree in Computer Application from Manonmanium Sundaranar University, Tirunelveli, and M. Phil. degree from Vinayaka Mission University, Salem, India. Completed Ph.D. (Reg. No. 19213112292061) in the Department of Computer Science, Nesamony Memorial Christian College, Marthandam, affiliated to Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, India. Worked as an Assistant Professor and has 10 years of teaching experience in the field of Computer Science. Currently, working as Assistant Professor in SRM Institute of Science and Technology, Chennai. Research interests include medical image processing, pattern recognition, and machine learning. Qualified NET during November 2020.

Employment

• SRM Institute of Science and Technology Assistant Professor
  2024 - Present
• Nanjil Catholic College of Arts and Science Assistant Professor
  2014 - 2019
• St Johns College Assistant Professor
  2012 - 2014
• St Jeromes College Assistant Professor
  2011 - 2012

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• A Sustainable Solar-Powered IoT and Machine Learning Framework for Smart Agricultural Monitoring
  2025 17th IEEE International Conference on Computational Intelligence and Communication Networks Cicn 2025 2025 DOI: 10.1109/CICN67655.2025.11367860
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• A Comprehensive Review of Diabetic Retinopathy Detection and Grading Based on Deep Learning and Metaheuristic Optimization Techniques
  Archives of Computational Methods in Engineering 2023 DOI: 10.1007/s11831-023-09946-5
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• An Entropy-Based Hybrid Vessel Segmentation Approach for Diabetic Retinopathy Screening in the Fundus Image
  Algorithms for Intelligent Systems 2023 DOI: 10.1007/978-981-99-1435-7_3
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• Feature fusion and optimization integrated refined deep residual network for diabetic retinopathy severity classification using fundus image
  Multimedia Systems 2023 DOI: 10.1007/s00530-023-01078-x
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• Integration of Voice Assistance System for Visually Challenged Person
  2023 IEEE International Conference on Research Methodologies in Knowledge Management Artificial Intelligence and Telecommunication Engineering Rmkmate 2023 2023 DOI: 10.1109/RMKMATE59243.2023.10368698
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• An enhanced swarm optimization-based deep neural network for diabetic retinopathy classification in fundus images
  Multimedia Tools and Applications 2022 DOI: 10.1007/s11042-022-12492-0
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• Deep learning enabled optimized feature selection and classification for grading diabetic retinopathy severity in the fundus image
  Neural Computing and Applications 2022 DOI: 10.1007/s00521-022-07471-3
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• LS-Net: An Improved Deep Generative Adversarial Network for Retinal Lesion Segmentation in Fundus Image
  Lecture Notes in Electrical Engineering 2022 DOI: 10.1007/978-981-19-4831-2_11
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• Attention-Based Deep Fusion Network for Retinal Lesion Segmentation in Fundus Image
  Communications in Computer and Information Science 2021 DOI: 10.1007/978-3-030-81462-5_36
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• A Patch - Based Analysis for Retinal Lesion Segmentation with Deep Neural Networks
  Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019) 2020 DOI: 10.1007/978-3-030-43192-1_75
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