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

A. Mutakabbir, C. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell, and S. Sampalli. COMPSAC, page 346-351. IEEE, (2023)

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To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Hosai Abdullah

Vergleichende Untersuchung medialer und lateraler Operationsmethodik bei Implantation von KniegelenktotalendoprothesenH. Abdullah. Uni Gießen, (2009)

Najeeb Abdulmutalib

Mahdi Abdullah

Susanne Abdulla

Abdul Khador Abdul Hassan

Other publications of authors with the same name

Big Data Synthesis and Class Imbalance Rectification for Enhanced Forest Fire Classification Modeling.F. Tavakoli, K. Naik, M. Zaman, R. Purcell, S. Sampalli, A. Mutakabbir, C. Lung, and T. Ravichandran. ICAART (2), page 264-275. SCITEPRESS, (2024)Explainable Long-Term Forecasting of Air Pollution.A. Mutakabbir, and S. Ajila. IEEE Big Data, page 3794-3802. IEEE, (2023)A Data Integration Framework with Multi-Source Big Data for Enhanced Forest Fire Prediction.P. Kaur, K. Naik, R. Purcell, S. Sampalli, C. Lung, M. Zaman, and A. Mutakabbir. IEEE Big Data, page 344-351. IEEE, (2023)Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data.A. Mutakabbir, C. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell, and S. Sampalli. COMPSAC, page 346-351. IEEE, (2023)Forest Fire Prediction Using Multi-Source Deep Learning.A. Mutakabbir, C. Lung, S. Ajila, M. Zaman, K. Naik, R. Purcell, and S. Sampalli. BDTA, volume 555 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 135-146. Springer, (2023)Analysis of Airfare during Pandemic: A Multi-Agent Based Modeling Approach.A. Mutakabbir, C. Lung, and S. Ajila. IEEE Big Data, page 3821-3830. IEEE, (2022)A Federated Learning Framework Based on Spatio-Temporal Agnostic Subsampling (STAS) for Forest Fire Prediction.A. Mutakabbir, C. Lung, S. Ajila, K. Naik, M. Zaman, R. Purcell, S. Sampalli, and T. Ravichandran. COMPSAC, page 350-359. IEEE, (2024)A Framework Using Federated Learning for IoT-Based Forest Fire Prediction.R. Purcell, K. Naik, C. Lung, M. Zaman, S. Sampalli, and A. Mutakabbir. IoTaIS, page 133-139. IEEE, (2023)

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Disambiguation of "Mutakabbir, Abdul"

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

Please choose a person to relate this publication to

Hosai Abdullah

Najeeb Abdulmutalib

Mahdi Abdullah

Susanne Abdulla

Abdul Khador Abdul Hassan

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mutakabbir, Abdul"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Spatio-Temporal Agnostic Deep Learning Modeling of Forest Fire Prediction Using Weather Data.

Please choose a person to relate this publication to

Hosai Abdullah

Najeeb Abdulmutalib

Mahdi Abdullah

Susanne Abdulla

Abdul Khador Abdul Hassan

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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