A stratified approach for heterogeneous data fusion using polygon generation, deep learning and ensemble modeling

Mohamed Elhefnawy, Ahmed Ragab, Nicolas Pelletier, Jean-Martin Lussier and Mouloud Amazouz

Article (2026)

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Department:	Department of Mathematics and Industrial Engineering
Funders:	National Research Council Canada
PolyPublie URL:	https://publications.polymtl.ca/78224/
Journal Title:	Ecological Informatics (vol. 96)
Publisher:	Elsevier BV
DOI:	10.1016/j.ecoinf.2026.103824
Official URL:	https://doi.org/10.1016/j.ecoinf.2026.103824
Date Deposited:	22 Jun 2026 09:55
Last Modified:	22 Jun 2026 09:55

Cite in APA 7:	Elhefnawy, M., Ragab, A., Pelletier, N., Lussier, J.-M., & Amazouz, M. (2026). A stratified approach for heterogeneous data fusion using polygon generation, deep learning and ensemble modeling. Ecological Informatics, 96, 103824. https://doi.org/10.1016/j.ecoinf.2026.103824
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