Janizadeh S - Search Results

1

Prediction of potential occurrence of historical objects with defensive function in Slovakia using machine learning approach.

Vojteková J, Janizadeh S, Vojtek M, Tirpáková A, Ruttkay M, Petrovič F. Vojteková J, et al. Among authors: janizadeh s. Sci Rep. 2024 Dec 5;14(1):30350. doi: 10.1038/s41598-024-82290-1. Sci Rep. 2024. PMID: 39638881 Free PMC article.

2

Impact of climate change on future flood susceptibility projections under shared socioeconomic pathway scenarios in South Asia using artificial intelligence algorithms.

Janizadeh S, Kim D, Jun C, Bateni SM, Pandey M, Mishra VN. Janizadeh S, et al. J Environ Manage. 2024 Aug;366:121764. doi: 10.1016/j.jenvman.2024.121764. Epub 2024 Jul 8. J Environ Manage. 2024. PMID: 38981269

3

Improving the prediction of wildfire susceptibility on Hawai'i Island, Hawai'i, using explainable hybrid machine learning models.

Tran TTK, Janizadeh S, Bateni SM, Jun C, Kim D, Trauernicht C, Rezaie F, Giambelluca TW, Panahi M. Tran TTK, et al. Among authors: janizadeh s. J Environ Manage. 2024 Feb;351:119724. doi: 10.1016/j.jenvman.2023.119724. Epub 2023 Dec 6. J Environ Manage. 2024. PMID: 38061099

4

Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors.

Jaafari A, Janizadeh S, Abdo HG, Mafi-Gholami D, Adeli B. Jaafari A, et al. Among authors: janizadeh s. J Environ Manage. 2022 Aug 1;315:115181. doi: 10.1016/j.jenvman.2022.115181. Epub 2022 Apr 29. J Environ Manage. 2022. PMID: 35500480

5

Prediction of groundwater nitrate concentration in a semiarid region using hybrid Bayesian artificial intelligence approaches.

Alkindi KM, Mukherjee K, Pandey M, Arora A, Janizadeh S, Pham QB, Anh DT, Ahmadi K. Alkindi KM, et al. Among authors: janizadeh s. Environ Sci Pollut Res Int. 2022 Mar;29(14):20421-20436. doi: 10.1007/s11356-021-17224-9. Epub 2021 Nov 4. Environ Sci Pollut Res Int. 2022. PMID: 34735705

6

Mapping the spatial and temporal variability of flood hazard affected by climate and land-use changes in the future.

Janizadeh S, Chandra Pal S, Saha A, Chowdhuri I, Ahmadi K, Mirzaei S, Mosavi AH, Tiefenbacher JP. Janizadeh S, et al. J Environ Manage. 2021 Nov 15;298:113551. doi: 10.1016/j.jenvman.2021.113551. Epub 2021 Aug 17. J Environ Manage. 2021. PMID: 34435571 Free article.

7

Evaluation of different boosting ensemble machine learning models and novel deep learning and boosting framework for head-cut gully erosion susceptibility.

Chen W, Lei X, Chakrabortty R, Chandra Pal S, Sahana M, Janizadeh S. Chen W, et al. Among authors: janizadeh s. J Environ Manage. 2021 Apr 15;284:112015. doi: 10.1016/j.jenvman.2021.112015. Epub 2021 Jan 28. J Environ Manage. 2021. PMID: 33515838

8

Comparative Analysis of Artificial Intelligence Models for Accurate Estimation of Groundwater Nitrate Concentration.

Band SS, Janizadeh S, Pal SC, Chowdhuri I, Siabi Z, Norouzi A, Melesse AM, Shokri M, Mosavi A. Band SS, et al. Among authors: janizadeh s. Sensors (Basel). 2020 Oct 12;20(20):5763. doi: 10.3390/s20205763. Sensors (Basel). 2020. PMID: 33053663 Free PMC article.

9

Novel Ensemble Approach of Deep Learning Neural Network (DLNN) Model and Particle Swarm Optimization (PSO) Algorithm for Prediction of Gully Erosion Susceptibility.

Band SS, Janizadeh S, Chandra Pal S, Saha A, Chakrabortty R, Shokri M, Mosavi A. Band SS, et al. Among authors: janizadeh s. Sensors (Basel). 2020 Sep 30;20(19):5609. doi: 10.3390/s20195609. Sensors (Basel). 2020. PMID: 33008132 Free PMC article.

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