BDFN: A Bilingual Model to Detect Online Fake News Using Machine Learning Technique
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I have published my undergraduate thesis work "BDFN: A Bilingual Model to Detect Online Fake News Using Machine Learning Technique" at the International Conference on Soft Computing for Security Applications(ICSCS 2021). I am grateful for the constant guidelines and support by my respected professor Dr. Mohammad Shamsul Arefin sir. My very first step to the world of research.
Conference Paper
Conference Paper
1. Title: HealthGAT: Node Classifications in Electronic Health Records using Graph Attention Networks
Piya F.L., M Gupta, R Beheshti - arXiv preprint arXiv:2403.18128, 2024. arxiv.org/pdf/2403.18128
2. Title: BDFN: A Bilingual Model to Detect Online Fake News Using Machine Learning Technique
Piya F.L., Karim R., Arefin M.S. (2022) BDFN: A Bilingual Model to Detect Online Fake News Using Machine Learning Technique. In: Ranganathan G., Fernando X., Shi F., El Allioui Y. (eds) Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-5301-8_56
Journal Paper
Journal Paper
Title: Impacts of COVID-19 on the Education, Life and Mental Health of Students in Bangladesh
Piya, F.L.; Amin, S.; Das, A.; Kabir, M.A. Impacts of COVID-19 on the Education, Life and Mental Health of Students in Bangladesh. Int. J. Environ. Res. Public Health 2022, 19, 785. https://doi.org/10.3390/ijerph19020785
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