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)

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)

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., 2023)

TimeLess: A Vision for the Next Generation of Software Development. - Zeeshan Rasheed; Malik Abdul Sami; Jussi Rasku; Kai-Kristian Kemell; Zheying Zhang; Janne Harjamäki; Shahbaz Siddeeq; Sami Lahti; Tomas Herda; Mikko Nurminen; Niklas Lavesson; Jose Siqueira de Cerqueira; et al. (CoRR, 2024)

Distributed Approach to Haskell Based Applications Refactoring with LLMs Based Multi-Agent Systems. - Shahbaz Siddeeq; Zeeshan Rasheed; Malik Abdul Sami; Mahade Hasan; Muhammad Waseem; Jussi Rasku; Mika Saari; Kai-Kristian Kemell; Pekka Abrahamsson (CoRR, 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, 2025)

Predicting Diabetes Using Machine Learning: A Comparative Study of Classifiers. - Mahade Hasan; Farhana Yasmin (CoRR, 2025)