Dr.BHAVANI K

Dr.BHAVANI K

Assistant Professor

Ph.D.

bhavanik.cse@bmsce.ac.in

Research Interests: Computer Vision, Machine Learning, Data Science

About

Experienced professional with a decade of expertise in academia and research, focusing on Computer Vision, Machine Learning, Data Science. Skilled in both individual and collaborative environments and dedicated to continuous learning and professional development.

Education

Selected Publications

  • Journal | Published On : 19-06-2026
    Shelly Shiju George, Mahesh Kumar K M, M Radha, Bhavani K, Nagamani K V
    Transformer CNN Framework Optimized by Tornado Optimization Algorithm for Brain Tumor Segmentation and Classification, International Journal of Intelligent Engineering and Systems, Vol.19, No.7, June 2026
    Weblink
  • Journal | Published On : 19-01-2026
    Gajendra N, Bhavani K
    Detection of Fake News utilizing Machine Learning Approaches, Grenze International Journal of Engineering and Technology, Vol. 12, Jan 2026
    Weblink
  • Conference | Published On : 26-10-2024
    K Bhavani, MT Gopalakrishna, M Vaidehi, AP Latha, N Gajendra
    Exploring Semi-Supervised and Unsupervised Learning for Improved Lung Cancer Diagnosis, International Conference on Data-Processing and Networking (ICDPN-2024-Scopus Indexed) on 25th – 26th October 2024 organized by the Institute of Technology and Business (VŠTE) in ?eské Bud?jovice, Czech Republic, Europe.
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  • Journal | Published On : 24-08-2024
    Bhavani K, Sreerama H V, Tejas K V, Swaroop R.
    Perimeter Intrusion Detection using Video Surveillance, High Technology Letters, Vol. 30, No. 1, pp. 71~80.
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  • Journal | Published On : 15-03-2024
    Bhavani Krishna, Gopalakrishna Madigondanahalli Thimmaiah
    Advanced Mask R-CNN based Deep-Learning Model for Lung Cancer Detection, IAES International Journal of Artificial Intelligence, Vol. 14, No. 1, pp. 1179~1186
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  • Conference | Published On : 05-08-2023
    Bhavani Krishna, Gopalakrishna Madigondanahalli Thimmaiah
    Deep Learning-Based Diagnosis of Lung Abnormalities on X-ray images: A Comparative Study of U-Net and Sequential CNN Models, IC3 2023, August 03–05, ACM Proceedings, 2023, Noida, India
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  • Journal | Published On : 14-06-2023
    Bhavani Krishna, Gopalakrishna Madigondanahalli Thimmaiah
    Nodule Shadow Based Lung Cancer detection using Deep Learning, European Chemical Bulletin, Volume -12, Special issue-9
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  • Journal | Published On : 23-12-2022
    Bhavani Krishna, Gopalakrishna Madigondanahalli Thimmaiah
    A Comparative Analysis of Traditional Classification and Deep Learning in Lung Cancer Prediction, Biomedical Engineering- Applications, Basis and Communications – World Scientific Journal , DOI: 10.4015/S101623722250048X
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