Md. Faysal Ahamed

According to our database, Md. Faysal Ahamed authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

An automated waste classification system using deep learning techniques: Toward efficient waste recycling and environmental sustainability.

Md. Nahiduzzaman, Md. Faysal Ahamed, Mansura Naznine, Md. Jawadul Karim, Hafsa Binte Kibria, Mohamed Arselene Ayari, Amith Khandakar, Azad Ashraf, Mominul Ahsan, Julfikar Haider

Knowl. Based Syst., 2025

2024

Streamlining plant disease diagnosis with convolutional neural networks and edge devices.

Md. Faysal Ahamed, Abdus Salam, Md. Nahiduzzaman, Mohammad Abdullah-Al-Wadud, S. M. Riazul Islam

Neural Comput. Appl., October, 2024

Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation.

Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Muhammad E. H. Chowdhury, Abdulrahman Alqahtani, M. Murugappan

Hum. Centric Intell. Syst., June, 2024

Detection of various gastrointestinal tract diseases through a deep learning method with ensemble ELM and explainable AI.

Md. Faysal Ahamed, Md. Nahiduzzaman, Md. Rabiul Islam, Mansura Naznine, Mohamed Arselene Ayari, Amith Khandakar, Julfikar Haider

Expert Syst. Appl., 2024

Automated Detection of Colorectal Polyp Utilizing Deep Learning Methods With Explainable AI.

Md. Faysal Ahamed, Md. Rabiul Islam, Md. Nahiduzzaman, Md. Jawadul Karim, Mohamed Arselene Ayari, Amith Khandakar

IEEE Access, 2024

2023

A review on brain tumor segmentation based on deep learning methods with federated learning techniques.

Md. Faysal Ahamed, Md. Munawar Hossain, Md. Nahiduzzaman, Md. Rabiul Islam, Md. Robiul Islam, Mominul Ahsan, Julfikar Haider

Comput. Medical Imaging Graph., December, 2023

IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques.

Md. Faysal Ahamed, Md. Khalid Syfullah, Ovi Sarkar, Md. Tohidul Islam, Md. Nahiduzzaman, Md. Rabiul Islam, Amith Khandakar, Mohamed Arselene Ayari, Muhammad E. H. Chowdhury

Sensors, September, 2023

Multi-label Bengali Abusive Comments Classification using Problem Transformation Method.

Tahsin Tasnia Khan, Abid Hassan, Md. Faysal Ahamed, Samiul Islam

Proceedings of the 20th International Conference on Electrical Engineering, 2023

2021

Low Cost Remotely Operated Underwater Vehicle.

Md. Faysal Ahamed, Syed Mahdi Mahi, Joyanta Mondal, Shovasis Kumar Biswas

Proceedings of the 12th International Conference on Computing Communication and Networking Technologies, 2021