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V. Sidharrth

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Conference Aug 2026

Hybrid Quantum-Classical Classification of Malaria Cell Images Using Transfer Learning

Classifying malaria cell images relies on examining blood-smear microscopy slides to separate healthy red blood cells from those carrying the parasite to recognize the stage of infection. Manually examining the cells under a microscope is slow, as it depends heavily on expert skill, and can lead to inconsistent results...

V. Sidharrth, Paruchuri Sai, B. G. Rajath Siddarth et al. · 0 citations
Open access Jul 2026

Uncertainty-aware music genre classification using evidential deep learning

Music is known to play a primary role in stress reduction, thereby enhancing our mental well-being. Retrieval of musical category tailored to specific needs of an individual is gaining traction but remains challenging and quite cumbersome. This is because of hazy and ambiguous nature of music classification, due to h...

V. Sidharrth, Jayan Sarada, Bilal Alataş · 0 citations

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