K. M. Aslam Uddin

According to our database, K. M. Aslam Uddin authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Artificial intelligence-powered environmental sound recognition with explainable AI techniques.

Farida Siddiqi Prity, Md. Mubarak Hossain, Md. Maruf Hossain, Md. Shihab Uddin, Md. Rabiul Islam, Mirza Raquib, Md. Rehan Ali, K. M. Aslam Uddin

Iran J. Comput. Sci., December, 2025

2024

Exploring swarm intelligence optimization techniques for task scheduling in cloud computing: algorithms, performance analysis, and future prospects.

Farida Siddiqi Prity, K. M. Aslam Uddin, Nishu Nath

Iran J. Comput. Sci., June, 2024

DevSched: an efficient bug-triaging model for allocating and balancing developer tasks.

K. M. Aslam Uddin, Md. Shahriare Satu, Md. Mahmudul Hasan Riyad, Kazi Sakib

Iran J. Comput. Sci., March, 2024

MpoxSLDNet: A Novel CNN Model for Detecting Monkeypox Lesions and Performance Comparison with Pre-trained Models.

Fatema Jannat Dihan, Saydul Akbar Murad, Abu Jafar Md Muzahid, K. M. Aslam Uddin, Mohammed J. F. Alenazi, Anupam Kumar Bairagi, Sujit Biswas

CoRR, 2024

2023

Neural network-based strategies for automatically diagnosing of COVID-19 from X-ray images utilizing different feature extraction algorithms.

Farida Siddiqi Prity, Nishu Nath, Antara Nath, K. M. Aslam Uddin

Netw. Model. Anal. Health Informatics Bioinform., December, 2023

Machine Learning-Based Screening Solution for COVID-19 Cases Investigation: Socio-Demographic and Behavioral Factors Analysis and COVID-19 Detection.

K. M. Aslam Uddin, Farida Siddiqi Prity, Maisha Tasnim, Sumiya Nur Jannat, Mohammad Omar Faruk, Jahirul Islam, Saydul Akbar Murad, Apurba Adhikary, Anupam Kumar Bairagi

Hum. Centric Intell. Syst., December, 2023

A review of task scheduling in cloud computing based on nature-inspired optimization algorithm.

Farida Siddiqi Prity, Md. Hasan Gazi, K. M. Aslam Uddin

Clust. Comput., October, 2023

An Explainable Artificial Intelligence Framework for the Predictive Analysis of Hypo and Hyper Thyroidism Using Machine Learning Algorithms.

Md. Bipul Hossain, Anika Shama, Apurba Adhikary, Avi Deb Raha, K. M. Aslam Uddin, Mohammad Amzad Hossain, Imtia Islam, Saydul Akbar Murad, Md. Shirajum Munir, Anupam Kumar Bairagi

Hum. Centric Intell. Syst., September, 2023

2022

Chi²-MI: A hybrid feature selection based machine learning approach in diagnosis of chronic kidney disease.

Samrat Kumar Dey, Khandaker Mohammad Mohi Uddin, Hafiz Md. Hasan Babu, Md. Mahbubur Rahman, Arpita Howlader, K. M. Aslam Uddin

Intell. Syst. Appl., 2022

BSDRM: A Machine Learning Based Bug Triaging Model to Recommend Developer Team.

K. M. Aslam Uddin, Md. Kowsher, Kazi Sakib

Proceedings of the Machine Intelligence and Emerging Technologies, 2022