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ORCIDFarhana Yasmin
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2020 – today
- 2023
[j6]Farhana Yasmin
, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Chetna Kaushal, Walid El Shafai, Naglaa F. Soliman:
PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning. IEEE Access 11: 24053-24076 (2023)- [j5]Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Anupam Kumar Bairagi, Walid El-Shafai, Hassan Fouad, Yang Chang Chun:
GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach. IEEE Access 11: 97605-97624 (2023) - [j4]Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Md. Asif Rakib Khan, Md. Mahedi Hassan, Farhana Yasmin, Anindya Nag, Tazria Helal Zarin, Anupam Kumar Bairagi, Samah Alshathri, Walid El-Shafai:
Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness. IEEE Access 11: 132196-132222 (2023) - [j3]Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, Amrina Rahman:
A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records. Hum. Centric Intell. Syst. 3(2): 92-104 (2023) - [j2]Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Jarif Huda Angon, Anupam Kumar Bairagi, Changchun Yang:
AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis. Hum. Centric Intell. Syst. 3(3): 275-295 (2023) - 2022
- [j1]Farhana Yasmin, Md. Mehedi Hassan, Sadika Zaman, Si Thu Aung, Asif Karim, Sami Azam:
A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis. Comput. 10(10): 177 (2022)
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