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Rakibul Hasan Dihan
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Research

Research & publications

Code Smell, Software Defect & Maintenance Research (Java Open-Source Repositories)

Supervised by Prof. Krishna Das

Research into code smells, software defects, and long-term maintainability signals across Java open-source repositories, applying neural network and deep learning techniques to detect and analyze patterns that predict maintenance burden.

Neural NetworksDeep Learning
Comparative Analysis of Formalin Detection in Fish Using Deep Neural Networks

Supervised by Prof. Krishna Das

A comparative study evaluating deep neural network architectures for detecting formalin contamination in fish, published through IEEE.

Deep Neural NetworksComputer Vision

Published — IEEE