Prameetha  Pai

Prameetha Pai

Assistant Professor

Ph.D

prameethapai.cse@bmsce.ac.in

Research Interests: Image Processing , Precision agriculture , Deep learning

About

I have completed my BE from NMAM Institute for technology, Nitte, Karkala and M.Tech from BMS College of engineering . I worked as a software engineer with Tech Mahindra. To pursue my passion for teaching I switched my career into teaching field. I have a decades experience in the field of teaching.

Education

Selected Publications

  • Journal | Published On : 31-08-2025
    SWATHI SRIDHARAN, ,PRAMEETHA PAI , SEEMA PATIL
    Hybrid Machine Learning–Based Intrusion Detection for Zero-Day Attack Prevention in Digital Education Networks, International Information and engineering technology association , Scopus Q3
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  • Journal | Published On : 30-08-2025
    Dr.Seema Patil , Prameetha Pai
    A Privacy-Preserving Cloud-Based System for Cardiovascular Disease Prediction Using Lightweight Machine Learning Models , Journal of Internet Services and Information Security (JISIS), volume: 15, number: 3 (August), pp. 129-148. ISSN: 2182-2069 / E-ISSN: 2182-2077 , Scopus Q2
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  • Journal | Published On : 29-07-2025
    PRAMEETHA PAI , AMUTHA S
    Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models , Scientific Reports 15, 27690 (2025). https://doi.org/10.1038/s41598-025-13079-z , WOS Q1,Scopus Q1
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  • Journal | Published On : 30-05-2025
    PRAMEETHA PAI , SEEMA PATIL
    Slice Residual U-Net Based Rice Plant Disease Classification Using Convolutional Attentional BiGRU , Journal of Internet Services and Information Security , Vol 15 , Issue 2 , Scopus Q2
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  • Journal | Published On : 11-04-2025
    PRAMEETHA PAI , AMUTHA S
    A twin CNN-based framework for optimized rice leaf disease classification with feature fusion. Journal of Big Data 12, 89 (2025). https://doi.org/10.1186/s40537-025-01148-z , WOS Q1, Scopus Q1
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  • Journal | Published On : 14-08-2024
    Prameetha Pai , Rajeshwari madli
    An improved eeg signal feature selection paradigm for migraine detection, Journal of Internet Services and Information Security, Vol. 14 Issue 3 page 143-156 , Scopus Q2
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