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Kidney Disease Classification

Published:

Achieved 1st place at ACM MUJ Sigfest Datathon among 1,000 participants and 300 teams.
Developed a robust classification model for diagnosing kidney disease, achieving 98.06% accuracy on 12,446 images.
Conducted comparative analysis with deep learning models like VGG-16 and AlexNet.

publications

An Efficient Image Encryption Technique using Logistic Map and 2D-TCLM

Published in International Conference on Cyber Warfare, Security and Space Research (CCIS, vol. 1599), 2021

This paper presents an efficient image encryption method combining the Logistic map and 2D-TCLM, published in Springer’s CCIS series.

Recommended citation: Krishna Kumar, Satyabrata Roy, Umashankar Rawat, Ishan Mishra. (2021). "An Efficient Image Encryption Technique using Logistic Map and 2D-TCLM." International Conference on Cyber Warfare, Security and Space Research, CCIS, vol. 1599, pp. 87–96. Springer International Publishing.
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Deep Video Analysis for Bacteria Genotype Prediction

Published in bioRxiv (preprint), 2024

This preprint explores how deep learning can predict bacterial genotypes from microscopy videos, highlighting phenotype-genotype relationships.

Recommended citation: Ali Dabouei, Ishan Mishra, Kuwar Kapur, Chengzhi Cao, Andrew A. Bridges, Min Xu. (2024). "Deep Video Analysis for Bacteria Genotype Prediction." bioRxiv. https://doi.org/10.1101/2024.09.16.613253
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