Open Access
| Issue |
BIO Web Conf.
Volume 245, 2026
International Symposium on Aquatic Sciences and Resources Management (4th ISARM 2026)
|
|
|---|---|---|
| Article Number | 03002 | |
| Number of page(s) | 5 | |
| Section | Integrated Governance and the Green-Blue Economy | |
| DOI | https://doi.org/10.1051/bioconf/202624503002 | |
| Published online | 13 July 2026 | |
- H. Rakuasa, V.V. Khromykh, Utilization of GIS Technology for Mapping Flood-Prone Areas in Ambon Island, Indonesia KnE Soc. Sci. 10, 296 (2025) [Google Scholar]
- W. Handayani, U.E. Chigbu, I Rudiarto, I.H.S. Putri, Urbanization and Increasing Flood Risk in the Northern Coast of Central Java—Indonesia: An Assessment towards Better Land Use Policy and Flood Management Land. 9, 343 (2020) [Google Scholar]
- M. Salakory, H. Rakuasa, Modeling of Cellular Automata Markov Chain for predicting the carrying capacity of Ambon City J. Pengelolaan Sumberd. Alam dan Lingkung. 12, 372 (2022) [Google Scholar]
- H. Mushwani, A. Arabzai, L. Safi, H. Ullah, A. Afghan, A Parven, Evaluation of flood hazard vulnerabilities and innovative management strategies in Afghanistan’s central region Nat. Hazards. 121, 4639 (2025) [Google Scholar]
- F. Vujović, G. Grozdanić, R. Đurović, A. Valjarević, I. Milevski, Comparative assessment of GIS-based multi-criteria decision analysis (AHP) and machine learning (MaxEnt) approaches for wildfire susceptibility modeling in Montenegro Egypt. J. Remote Sens. Sp. Sci. 28, 724 (2025) [Google Scholar]
- M Norallahi, H.S. Kaboli, Urban flood hazard mapping using machine learning models: GARP, RF, MaxEnt and NB Nat. Hazards. 106, 119 (2021) [Google Scholar]
- N. Kalita, N. Bhattacharjee, N. Sarmah, M.J. Nath, Estimation of Flood Hazard Zones of Noa River Basin Using Maximum Entropy Model in GIS Nat. Environ. Pollut. Technol. 24, B4216 2025 [Google Scholar]
- S.J. Phillips, R.P. Anderson, R.E. Schapire R E, Maximum entropy modeling of species geographic distributions Ecol. Modell. 190, 231 (2006) [Google Scholar]
- J. Elith, S.J. Phillips, T. Hastie, M. Dudík, Y.E. Chee and C.J. Yates, A statistical explanation of MaxEnt for ecologists Divers. Distrib. 17, 43 (2011) [Google Scholar]
- N. Javidan, A. Kavian, H.R. Pourghasemi, C. Conoscenti, Z. Jafarian, J. Rodrigo-Comino, Evaluation of multi-hazard map produced using MaxEnt machine learning technique Sci. Rep. 11, 6496 (2021) [Google Scholar]
- A.B. Qasimi, V. Isazade, R. Berndtsson R, Flood susceptibility prediction using MaxEnt and frequency ratio modeling for Kokcha River in Afghanistan Nat. Hazards. 120, 1367 (2024) [Google Scholar]
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