Mahade Hasan

According to our database, Mahade Hasan authored at least 11 papers between 2023 and 2026.

Collaborative distances:

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

2026

Resource-Aware Evolutionary Neural Architecture Search for Cardiac MRI Segmentation.

Farhana Yasmin, Mahade Hasan, Haipeng Liu, Amjad Ali, Ghulam Muhammad, Yu Xue

CoRR, May, 2026

EPSO-net: A multi-objective evolutionary neural architecture search with PSO-guided mutation fusion for explainable brain tumor segmentation.

Farhana Yasmin, Yu Xue, Mahade Hasan, Ghulam Muhammad

Inf. Fusion, 2026

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

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, February, 2025

Optimizing Brain Tumor Segmentation Networks Through Evolutionary Neural Architecture Search.

Farhana Yasmin, Mahade Hasan, Shahab A. Abdulla, Md. Mehedi Hassan, Radjabov Sukhrob Radjabovich, Abdolraheem Khader, Ali Ahmed, Yu Xue

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

Automated Polyp Segmentation Using Evolutionary Neural Architecture Search.

Mahade Hasan, Farhana Yasmin, Haipeng Liu, Md. Mehedi Hassan, Radjabov Sukhrob Radjabovich, Yu Xue

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2025

2024

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, Md Toufique Hasan, Ayman Asad Khan, Mahade Hasan, Mika Saari, Petri Rantanen, Jari Soini, Pekka Abrahamsson

CoRR, 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

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, Changchun Yang

IEEE Access, 2023