[HTML][HTML] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
Landslides are abundant in mountainous regions. They are responsible for substantial
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …
damages and losses in those areas. The A1 Highway, which is an important road in Algeria …
Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various …
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
resources and cause loss of human life every year. Hence, preparing susceptibility maps for …
Climate impact on surface and groundwater in North Africa: a global synthesis of findings and recommendations
Climate change is having short-and long-term impacts on surface and groundwater in the
northern part of the African continent. This has led to a wide range of consequences that …
northern part of the African continent. This has led to a wide range of consequences that …
Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory map**
In this paper, an inventory of the landslide that occurred in Karahacılı at the end of 2019 was
created and the pre-landslide conditions of the region were evaluated with traditional …
created and the pre-landslide conditions of the region were evaluated with traditional …
GIS-based expert knowledge for landslide susceptibility map** (LSM): case of mostaganem coast district, west of Algeria
Landslides are one of the natural disasters that affect socioeconomic wellbeing. Accordingly,
this work aimed to realize a landslide susceptibility map in the coastal district of …
this work aimed to realize a landslide susceptibility map in the coastal district of …
Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality
The aim of this study is to develop landslide susceptibility models for the northern part of the
Bordj Bou Arreridj (BBA) region, Northeast Algeria, to reduce the physical degradation …
Bordj Bou Arreridj (BBA) region, Northeast Algeria, to reduce the physical degradation …
Exploring neotectonic activity in a semiarid basin: a case study of the Ain Zerga watershed
Mediterranean basin exposed to ongoing processes of erosion and deformation.
Neotectonics is the study of the geological processes involved in the deformation of the …
Neotectonics is the study of the geological processes involved in the deformation of the …
Assessment of groundwater and soil pollution by leachate using electrical resistivity and induced polarization imaging survey, case of Tebessa municipal landfill, NE …
In the last decade, the anarchical discharges have severely degraded the environment
quality in Tebessa province. Due to the exudation and the percolation of leachate through …
quality in Tebessa province. Due to the exudation and the percolation of leachate through …
Hydrochemical and geothermometry characterization for a geothermal system in semiarid dry climate: The case study of Hamma spring (Northeast Algeria)
Climate change has increased the odds of worsening drought in arid and semiarid dry
regions of North Africa. Although the thermal waters have a minimal influence on the yield of …
regions of North Africa. Although the thermal waters have a minimal influence on the yield of …
A GIS-based statistical model for assessing groundwater susceptibility index in shallow aquifer in Central Tunisia (Sidi Bouzid basin)
A comprehensive approach for assessing the shallow aquifer Susceptibility Index (SI) to
pollution was proposed by combining the Vulnerability Index (VI) and Quality Index (QI) in …
pollution was proposed by combining the Vulnerability Index (VI) and Quality Index (QI) in …