Abdul Mutakabbir

According to our database, Abdul Mutakabbir authored at least 10 papers between 2022 and 2025.

Collaborative distances:

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

2025

Vegetation Land Cover and Forest Fires in Canada: An Analytical Data Visualization.

Abdul Mutakabbir, Chung-Horng Lung, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Thambirajah Ravichandran

Proceedings of the 49th IEEE Annual Computers, Software, and Applications Conference, 2025

2024

IoT Sensor Deployment in the Wildland Urban Interface: Leveraging Fire Risk Analysis.

Richard Purcell, Kshirasagar Naik, Marzia Zaman, Chung-Horng Lung, Srinivas Sampalli, Abdul Mutakabbir, Manavjit Singh Dhindsa, Ursula Das

Proceedings of the 10th IEEE World Forum on Internet of Things, 2024

Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling.

Fatemeh Tavakoli, Kshirasagar Naik, Marzia Zaman, Richard Purcell, Srinivas Sampalli, Abdul Mutakabbir, Chung-Horng Lung, Thambirajah Ravichandran

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Kshirasagar Naik, Marzia Zaman, Richard Purcell, Srinivas Sampalli, Thambirajah Ravichandran

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

A Framework Using Federated Learning for IoT-Based Forest Fire Prediction.

Richard Purcell, Kshirasagar Naik, Chung-Horng Lung, Marzia Zaman, Srinivas Sampalli, Abdul Mutakabbir

Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems, 2023

Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli

Proceedings of the 47th IEEE Annual Computers, Software, and Applications Conference, 2023

Explainable Long-Term Forecasting of Air Pollution.

Abdul Mutakabbir, Samuel A. Ajila

Proceedings of the IEEE International Conference on Big Data, 2023

A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction.

Parveen Kaur, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli, Chung-Horng Lung, Marzia Zaman, Abdul Mutakabbir

Proceedings of the IEEE International Conference on Big Data, 2023

Forest Fire Prediction Using Multi-Source Deep Learning.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila, Marzia Zaman, Kshirasagar Naik, Richard Purcell, Srinivas Sampalli

Proceedings of the Big Data Technologies and Applications, 2023

2022

Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach.

Abdul Mutakabbir, Chung-Horng Lung, Samuel A. Ajila

Proceedings of the IEEE International Conference on Big Data, 2022