Farhana Yasmin

According to our database, Farhana Yasmin authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers.

Mahade Hasan, Farhana Yasmin

CoRR, May, 2025

Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques.

Mahade Hasan, Farhana Yasmin, Md. Mehedi Hassan, Xue Yu, Soniya Yeasmin, Herat Joshi, Sheikh Mohammed Shariful Islam

CoRR, April, 2025

2024

Synergy of 6G technology and IoT networks for transformative applications.

Moupriya Das, Anindya Nag, Md. Mehedi Hassan, Arkya Santra, Nisarga Chand, Farhana Yasmin, Anurag Sinha, Anupam Kumar Bairagi, Ahmed Alkhayyat

Int. J. Commun. Syst., 2024

Boosting the Prediction of Brain Tumor Using Two Stage BiGait Architecture.

Saif Ur Rehman Khan, Zia Khan, Md. Zakir Hossain, Nicanor Mayumu, Farhana Yasmin, Younas Aziz

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

2023

AQIPred: A Hybrid Model for High Precision Time Specific Forecasting of Air Quality Index with Cluster Analysis.

Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Jarif Huda Angon, Anupam Kumar Bairagi, Changchun Yang

Hum. Centric Intell. Syst., September, 2023

A Comparative Study, Prediction and Development of Chronic Kidney Disease Using Machine Learning on Patients Clinical Records.

Md. Mehedi Hassan, Md. Mahedi Hassan, Swarnali Mollick, Md. Asif Rakib Khan, Farhana Yasmin, Anupam Kumar Bairagi, M. Raihan, Shibbir Ahmed Arif, Amrina Rahman

Hum. Centric Intell. Syst., February, 2023

PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning.

Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Chetna Kaushal, Walid El Shafai, Naglaa F. Soliman

IEEE Access, 2023

GastroNet: Gastrointestinal Polyp and Abnormal Feature Detection and Classification With Deep Learning Approach.

Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, Sadika Zaman, Anupam Kumar Bairagi, Walid El-Shafai, Hassan Fouad, Yang Chang Chun

IEEE Access, 2023

Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness.

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

IEEE Access, 2023

2022

A Forecasting Prognosis of the Monkeypox Outbreak Based on a Comprehensive Statistical and Regression Analysis.

Farhana Yasmin, Md. Mehedi Hassan, Sadika Zaman, Si Thu Aung, Asif Karim, Sami Azam

Comput., 2022