Research output per year
Research output per year
Personal profile
Research interests
computer vision
Education/Academic qualification
Robust object detection and tracking using stereo vision
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Dive into the research topics where Raghavendra U 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
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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification
Anil Inamdar, M., Gudigar, A., Raghavendra, U., Salvi, M., Aman, R. R. A. B. R., Gowdh, N. F. M., Ahir, I. A. B. M., Kamaruddin, M. S. B., Kadir, K. A. A., Molinari, F., Hegde, A., Menon, G. R. & Rajendra Acharya, U., 2025, In: IEEE Access. 13, p. 46638-46658 21 p.Research output: Contribution to journal › Article › peer-review
Open Access7 Citations (Scopus) -
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Chadalavada, S., Faust, O., Salvi, M., Seoni, S., Raj, N., Raghavendra, U., Gudigar, A., Barua, P. D., Molinari, F. & Acharya, R., 02-2025, In: Environmental Modelling and Software. 185, 106312.Research output: Contribution to journal › Review article › peer-review
Open Access16 Citations (Scopus) -
Dual attention mechanisms with patch-level significance embedding for ischemic stroke classification in brain CT images
Inamdar, M. A., Gudigar, A., Raghavendra, U., Salvi, M., Raj, N., Pooja, J., Hegde, A., Menon, G. R. & Rajendra Acharya, U., 01-2025, In: Informatics in Medicine Unlocked. 57, 101678.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Machine Learning Based Multi-Class Classification and Grading of Squamous Cell Carcinoma in Optical Microscopy
Kaniyala Melanthota, S., Spandana, K. U., Raghavendra, U., Rai, S., Nayak, R., V. Kistenev, Y., Shil, S., Mahato, K. K. & Mazumder, N., 11-2025, In: Microscopy Research and Technique. 88, 11, p. 2865-2877 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
MLAR-Net: A multilevel attention-based ResNet module for the automated recognition of emotions using single-channel EEG signals
Maithri, M., Raghavendra, U., Gudigar, A., Praharaj, S. K., Karthikeyan, S., Salvi, M., Yeong, C. H., Molinari, F. & Rajendra Acharya, U., 2025, In: IEEE Access. 13, p. 99122-99144 23 p.Research output: Contribution to journal › Article › peer-review
Open Access