Search Results for author: Sajib Kumar Saha Joy

Found 4 papers, 1 papers with code

Explainable Cost-Sensitive Deep Neural Networks for Brain Tumor Detection from Brain MRI Images considering Data Imbalance

1 code implementation1 Aug 2023 MD Tanvir Rouf Shawon, G. M. Shahariar Shibli, Farzad Ahmed, Sajib Kumar Saha Joy

This paper presents a research study on the use of Convolutional Neural Network (CNN), ResNet50, InceptionV3, EfficientNetB0 and NASNetMobile models to efficiently detect brain tumors in order to reduce the time required for manual review of the report and create an automated system for classifying brain tumors.

A Comparative Study on COVID-19 Fake News Detection Using Different Transformer Based Models

no code implementations2 Aug 2022 Sajib Kumar Saha Joy, Dibyo Fabian Dofadar, Riyo Hayat Khan, Md. Sabbir Ahmed, Rafeed Rahman

The rapid advancement of social networks and the convenience of internet availability have accelerated the rampant spread of false news and rumors on social media sites.

Fake News Detection

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