Pathways and challenges of the application of artificial intelligence to geohazards modelling
The application of artificial intelligence (AI) and machine learning in geohazard modelling
has been rapidly growing in recent years, a trend that is observed in several research and …
has been rapidly growing in recent years, a trend that is observed in several research and …
Prediction of shear strength of soft soil using machine learning methods
Shear strength of the soil is an important engineering parameter used in the design and
audit of geo-technical structures. In this research, we aim to investigate and compare the …
audit of geo-technical structures. In this research, we aim to investigate and compare the …
[HTML][HTML] Landslide susceptibility prediction using slope unit-based machine learning models considering the heterogeneity of conditioning factors
To perform landslide susceptibility prediction (LSP), it is important to select appropriate
mapping unit and landslide-related conditioning factors. The efficient and automatic multi …
mapping unit and landslide-related conditioning factors. The efficient and automatic multi …
An image recognition method for the deformation area of open-pit rock slopes under variable rainfall
Q Li, D Song, C Yuan, W Nie - Measurement, 2022 - Elsevier
Due to human mining action, relatively fragile open-pit mine rock slopes are prone to
instability induced by heavy rain. Accurately identifying the information and area of …
instability induced by heavy rain. Accurately identifying the information and area of …
A depth information-based method to enhance rainfall-induced landslide deformation area identification
C Yuan, Q Li, W Nie, C Ye - Measurement, 2023 - Elsevier
Accurately recognizing landslide deformation regions is important for understanding the
mechanisms of landslides and predicting landslide disasters. Using slopes in Dayu County …
mechanisms of landslides and predicting landslide disasters. Using slopes in Dayu County …
[HTML][HTML] Uncertainty pattern in landslide susceptibility prediction modelling: Effects of different landslide boundaries and spatial shape expressions
In some studies on landslide susceptibility mapping (LSM), landslide boundary and spatial
shape characteristics have been expressed in the form of points or circles in the landslide …
shape characteristics have been expressed in the form of points or circles in the landslide …
Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector …
Shallow landslides damage buildings and other infrastructure, disrupt agriculture practices,
and can cause social upheaval and loss of life. As a result, many scientists study the …
and can cause social upheaval and loss of life. As a result, many scientists study the …
[HTML][HTML] Applying deep learning and benchmark machine learning algorithms for landslide susceptibility modelling in Rorachu river basin of Sikkim Himalaya, India
K Mandal, S Saha, S Mandal - Geoscience Frontiers, 2021 - Elsevier
Landslide is considered as one of the most severe threats to human life and property in the
hilly areas of the world. The number of landslides and the level of damage across the globe …
hilly areas of the world. The number of landslides and the level of damage across the globe …
Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Nowadays, a number of machine learning prediction methods are being applied in the field
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
of landslide susceptibility modeling of the large area especially in the difficult hilly terrain. In …
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic …
Flooding is one of the most significant environmental challenges and can easily cause fatal
incidents and economic losses. Flood reduction is costly and time-consuming task; so it is …
incidents and economic losses. Flood reduction is costly and time-consuming task; so it is …