Personal profile
Research interests
| Computer vision, Deep learning, Pattern recognition, Social Network Analysis |
Creative Works
Human Action Recognition and Human Gait Identification
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Dive into the research topics where Rashmi M is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Advancements in Human Activity Recognition
Jayanth, P., Arya, V., Naik, D. & Rashmi, M., 2026, Machine Learning, Image Processing, Network Security and Data Sciences - 6th International Conference, MIND 2024, Revised Selected Papers. Modi, C., Thenkanidiyoor, V., Verma, G. K. & Brankovic, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 377-388 12 p. (Communications in Computer and Information Science; vol. 2737 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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AgroProposal - A Deep Learning Guided Web Application For Crop Recommendation
Pondugula, P. & Rashmi, M., 2026, Machine Learning, Image Processing, Network Security and Data Sciences - 6th International Conference, MIND 2024, Revised Selected Papers. Modi, C., Thenkanidiyoor, V., Verma, G. K. & Brankovic, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 438-449 12 p. (Communications in Computer and Information Science; vol. 2736 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Computer Vision and Deep Learning-Based Model for Detecting Spoofed Faces in Images
Salian, G. P., Rao, M. K. & Rashmi, M., 2025, Data Science and Network Engineering - Proceedings ICDSNE 2024. Namasudra, S., Kar, N., Patra, S. K. & Taniar, D. (eds.). Springer Science and Business Media Deutschland GmbH, p. 15-26 12 p. (Lecture Notes in Networks and Systems; vol. 1165).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Enhanced complex network influential node detection through the integration of entropy and degree metrics with node distance
Shetty, R. D., M, R., Shetty, K. R. & T, M., 12-2025, In: Scientific Reports. 15, 1, 31227.Research output: Contribution to journal › Article › peer-review
Open Access3 Link opens in a new tab Citations (Scopus) -
Explainable ensemble-based machine learning model for polycystic ovary syndrome detection using hybrid feature selection
Patil, P. B., M, R., B. V, N. & Shetty, R. D., 2025, (Accepted/In press) In: International Journal of Information Technology (Singapore).Research output: Contribution to journal › Article › peer-review
Open Access