Forest Fire Prediction Using Multi-Source Deep Learning. - Abdul Mutakabbir; Chung-Horng Lung; Samuel A. Ajila; Marzia Zaman; Kshirasagar Naik; Richard Purcell; Srinivas Sampalli (BDTA, 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 (IEEE Big Data, 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 (COMPSAC, 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 (IoTaIS, 2023)

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 (COMPSAC, 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 (ICAART (2), 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 (WF-IoT, 2024)

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 (COMPSAC, 2025)