Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …

H Tao, SI Abba, AM Al-Areeq, F Tangang… - … Applications of Artificial …, 2024 - Elsevier
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

An integrated approach of remote sensing and geospatial analysis for modeling and predicting the impacts of climate change on food security

M Kazemi Garajeh, B Salmani, S Zare Naghadehi… - Scientific Reports, 2023 - nature.com
The agriculture sector provides the majority of food supplies, ensures food security, and
promotes sustainable development. Due to recent climate changes as well as trends in …

Mass movement susceptibility prediction and infrastructural risk assessment (IRA) using GIS-based Meta classification algorithms

SA Ali, M Mohajane, F Parvin, A Varasano… - Applied Soft …, 2023 - Elsevier
In mountainous areas, mass movements are among the most dangerous natural hazards.
Infrastructure is a crucial component and is thought of as human wealth. This infrastructure is …

RETRACTED: Systematic review on gully erosion measurement, modelling and management: Mitigation alternatives and policy recommendations

R Chakrabortty, SC Pal - Geological Journal, 2023 - Wiley Online Library
The problem of “gully erosion” is one of the severe “natural hazards” associated with large‐
scale land degradation in various parts of the world. Therefore, accurate modelling is one of …

Multi-hazards (landslides, floods, and gully erosion) modeling and mapping using machine learning algorithms

AM Youssef, AM Mahdi, MM Al-Katheri… - Journal of African Earth …, 2023 - Elsevier
The current study aimed at producing a multi-hazard susceptibility map for the Hasher-Fayfa
Basin. The basin is part of the Jazan region in southwestern Saudi Arabia and is …

[HTML][HTML] Gully erosion mapping susceptibility in a Mediterranean environment: A hybrid decision-making model

S Hitouri, M Meriame, AS Ajim, QR Pacheco… - International Soil and …, 2024 - Elsevier
Gully erosion is one of the main natural hazards, especially in arid and semi-arid regions,
destroying ecosystem service and human well-being. Thus, gully erosion susceptibility maps …

[HTML][HTML] Flood susceptibility mapping using SAR data and machine learning algorithms in a small watershed in northwestern Morocco

S Hitouri, M Mohajane, M Lahsaini, SA Ali, TA Setargie… - Remote Sensing, 2024 - mdpi.com
Flood susceptibility mapping plays a crucial role in flood risk assessment and management.
Accurate identification of areas prone to flooding is essential for implementing effective …

Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions

QB Pham, Ö Ekmekcioğlu, SA Ali, K Koc, F Parvin - Applied Soft Computing, 2023 - Elsevier
This study was undertaken to propose a comprehensive prediction scheme containing the
hybrid use of class imbalance handling strategies and machine learning methods to assess …

[HTML][HTML] A comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) using machine learning

KF Alkaraki, K Hazaymeh - Environmental Challenges, 2023 - Elsevier
Agriculture drought is a decrease in soil moisture during a growing season. In this study, a
comprehensive remote sensing-based Agriculture Drought Condition Indicator (CADCI) was …

Spatial mapping of hydrologic soil groups using machine learning in the Mediterranean region

E Faouzi, A Arioua, M Namous, A Barakat, H Mosaid… - Catena, 2023 - Elsevier
Soil and water conservation is one of the major tasks of hydrologic soil groups (HSGs),
which play an increasing role in the hydrological process. This research attempts to produce …