Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine
B Feizizadeh, D Omarzadeh… - Journal of …, 2023 - Taylor & Francis
With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …
data from more and more different satellite sensors as well as progress in semi-automated …
[HTML][HTML] Health effects of shrinking hyper-saline lakes: spatiotemporal modeling of the Lake Urmia drought on the local population, case study of the Shabestar County
Climate change and its respective environmental impacts, such as dying lakes, is widely
acknowledged. Studies on the impact of shrinking hyper-saline lakes suggest severe …
acknowledged. Studies on the impact of shrinking hyper-saline lakes suggest severe …
[HTML][HTML] Utilizing hybrid machine learning and soft computing techniques for landslide susceptibility mapping in a Drainage Basin
Y Mao, Y Li, F Teng, AKS Sabonchi, M Azarafza… - Water, 2024 - mdpi.com
The hydrological system of thebasin of Lake Urmia is complex, deriving its supply from a
network comprising 13 perennial rivers, along withnumerous small springs and direct …
network comprising 13 perennial rivers, along withnumerous small springs and direct …
Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach
Pavement rutting refers to surface depression in the wheel-path along an asphalt road which
causes loss of steering control and consequently leads to serious traffic accidents. Hence, it …
causes loss of steering control and consequently leads to serious traffic accidents. Hence, it …
A comparison study on the quantitative statistical methods for spatial prediction of shallow landslides (case study: Yozidar-Degaga Route in Kurdistan Province, Iran)
The main purpose of this study was to compare the performance of Support Vector Machines
(SVM), Stochastic Gradient Descent (SGD), and Bayesian Logistic Regression (BLR) …
(SVM), Stochastic Gradient Descent (SGD), and Bayesian Logistic Regression (BLR) …
Enhancing slope stability prediction using fuzzy and neural frameworks optimized by metaheuristic science
MA Mu'azu - Mathematical Geosciences, 2023 - Springer
Recently, machine learning models have acted as effective tools for slope stability analysis.
But due to the crucial significance of this issue, reaching a reliable accuracy is necessary …
But due to the crucial significance of this issue, reaching a reliable accuracy is necessary …
[HTML][HTML] Risk Factors and Prediction of the Probability of Wildfire Occurrence in the China–Mongolia–Russia Cross-Border Area
Y Li, S Xu, Z Fan, X Zhang, X Yang, S Wen, Z Shi - Remote Sensing, 2022 - mdpi.com
Wildfire is essential in altering land ecosystems' structures, processes, and functions. As a
critical disturbance in the China–Mongolia–Russia cross-border area, it is vital to …
critical disturbance in the China–Mongolia–Russia cross-border area, it is vital to …
[HTML][HTML] A quasi-affine transformation evolutionary algorithm enhanced by hybrid Taguchi strategy and its application in fault detection of wireless sensor network
A quasi-affine transformation evolutionary algorithm improved by the Taguchi strategy, levy
flight and the restart mechanism (TLR-QUATRE) is proposed in this paper. This algorithm …
flight and the restart mechanism (TLR-QUATRE) is proposed in this paper. This algorithm …
Using the integrated application of computational intelligence for landslide susceptibility modeling in East Azerbaijan Province, Iran
S Abdollahizad, MA Balafar, B Feizizadeh… - Applied …, 2023 - Springer
Mapping of landslide susceptibility is an important tool to prevent and control landslide
disasters for a variety of applications, such as land use management plans. The main …
disasters for a variety of applications, such as land use management plans. The main …
[HTML][HTML] A hybrid variable weight theory approach of hierarchical analysis and multi-layer perceptron for landslide susceptibility evaluation: a case study in Luanchuan …
M Li, Y Guo, D Luo, C Ma - Sustainability, 2023 - mdpi.com
Landslides, which can cause significant losses of lives or property damages, result from
several different environmental factors whose influences are very complex. Thus, the …
several different environmental factors whose influences are very complex. Thus, the …