Muhammad Adil Abid

According to our database, Muhammad Adil Abid authored at least 7 papers between 2019 and 2025.

Collaborative distances:

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

2025

Quality Clustering for Reducing the Search Space for Mobile Stroke Unit Allocation.

Muhammad Adil Abid, Johan Holmgren, Fabian Lorig, Jesper Petersson

Proceedings of the 18th International Joint Conference on Biomedical Engineering Systems and Technologies, 2025

2024

Integrating Machine Learning-Based Ambulance Travel Time Estimation into an Emergency Medical Services Simulation Modeling Framework.

Saeid Amouzad Mahdiraji, Muhammad Adil Abid, Johan Holmgren

Proceedings of the 15th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2024) / The 14th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH 2024), 2024

An Enhanced Genetic Algorithm With Clustering for Optimizing Mobile Stroke Unit Deployment.

Muhammad Adil Abid, Johan Holmgren, Fabian Lorig, Jesper Petersson

Proceedings of the 24th IEEE International Conference on Bioinformatics and Bioengineering, 2024

Ambulance Travel Time Estimation using Spatiotemporal Data.

Muhammad Adil Abid, Fabian Lorig, Johan Holmgren, Jesper Petersson

Proceedings of the 15th International Conference on Ambient Systems, 2024

2023

A Genetic Algorithm for Optimizing Mobile Stroke Unit Deployment.

Muhammad Adil Abid, Saeid Amouzad Mahdiraji, Fabian Lorig, Johan Holmgren, Radu-Casian Mihailescu, Jesper Petersson

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2020

A proposed framework for improved software requirements elicitation process in SCRUM: Implementation by a real-life Norway-based IT project.

Hina Saeeda, Junyu Dong, Yong Wang, Muhammad Adil Abid

J. Softw. Evol. Process., 2020

2019

An Ideology for the Prediction of Critical Haplotype Blocks of Variants in Genes (Cyp2c9 And Vkorc1) for Warfarin (Anticoagulant) Drug Dosage to Treat Heart Patients Efficiently by Using Ml (Machine Learning) and Data Stream Mining Techniques.

Hina Saeeda, Muhammad Adil Abid

Proceedings of the ICAIP 2019: 3rd International Conference on Advances in Image Processing, 2019