Comparison of neural network, Gaussian regression, support vector machine, long short-term memory, multi-gene genetic programming, and M5 Trees methods for …
In this study, it was investigated that how machine learning (ML) methods show performance
in different problems having different characteristics. Six ML approaches including Artificial …
in different problems having different characteristics. Six ML approaches including Artificial …
Landslide susceptibility mapping using machine learning algorithm validated by persistent scatterer In-SAR technique
Landslides are the most catastrophic geological hazard in hilly areas. The present work
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …
intends to identify landslide susceptibility along Karakorum Highway (KKH) in Northern …
Deep learning and machine learning models for landslide susceptibility mapping with remote sensing data
Karakoram Highway (KKH) is an international route connecting South Asia with Central Asia
and China that holds socio-economic and strategic significance. However, KKH has extreme …
and China that holds socio-economic and strategic significance. However, KKH has extreme …
An integrated approach based landslide susceptibility mapping: case of Muzaffarabad region, Pakistan
Landslides result in the devastation of property and loss of lives. This study assesses
landslide susceptibility by employing geographic information systems (GIS) and machine …
landslide susceptibility by employing geographic information systems (GIS) and machine …
BERT: A Review of Applications in Sentiment Analysis
E-commerce reviews are becoming more valued by both customers and companies. The
high demand for sentiment analysis is driven by businesses relying on it as a crucial tool to …
high demand for sentiment analysis is driven by businesses relying on it as a crucial tool to …
[HTML][HTML] Forest fire risk mapping with Landsat 8 OLI images: Evaluation of the potential use of vegetation índices
Fire is one of the most important natural catastrophes threatening the forest ecosystem. The
severity and frequency of forest fires are increasing daily due to the increase in population in …
severity and frequency of forest fires are increasing daily due to the increase in population in …
Geoinformatics-based frequency ratio, analytic hierarchy process and hybrid models for landslide susceptibility zonation in Kurdistan Region, Northern Iraq
KK Fatah, YT Mustafa, IO Hassan - Environment, Development and …, 2024 - Springer
Landslides are among the most critical geo-environmental disasters for both humans and
the environment. This study intended to create a landslide susceptibility map (LSM) for the …
the environment. This study intended to create a landslide susceptibility map (LSM) for the …
Integrating Machine Learning Ensembles for Landslide Susceptibility Mapping in Northern Pakistan
Natural disasters, notably landslides, pose significant threats to communities and
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
infrastructure. Landslide susceptibility mapping (LSM) has been globally deemed as an …
[PDF][PDF] Comparison of different machine learning algorithms to estimate liquid level for bioreactor management
Estimating the liquid level in an anaerobic digester can be disturbed by its closedness,
bubbles and scum formation, and the inhomogeneity of the digestate. In our previous study …
bubbles and scum formation, and the inhomogeneity of the digestate. In our previous study …
[HTML][HTML] Fatal landslides in Kencho, Shacha & Gozdi villages, Gofa zone, Ethiopia: A detailed investigation (Geological, Geotechnical, geophysical & geospatial) of the …
L Shano, B Gisila, W Jerene, D Ekaso, T Baye… - Quaternary Science …, 2024 - Elsevier
A landslide is one of the geological hazards that cause the most disaster in densely
populated areas. The landslide that occurred in Gezie Gofa woreda, Gofa Zone, Kencho …
populated areas. The landslide that occurred in Gezie Gofa woreda, Gofa Zone, Kencho …