[HTML][HTML] How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

Y Achour, HR Pourghasemi - Geoscience Frontiers, 2020 - Elsevier
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 …

Climate impact on surface and groundwater in North Africa: a global synthesis of findings and recommendations

Y Hamed, R Hadji, B Redhaounia, K Zighmi… - Euro-Mediterranean …, 2018 - Springer
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 …

Spatial prediction of landslide susceptibility using hybrid support vector regression (SVR) and the adaptive neuro-fuzzy inference system (ANFIS) with various …

M Panahi, A Gayen, HR Pourghasemi, F Rezaie… - Science of the Total …, 2020 - Elsevier
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 …

Apriori association rule and K-means clustering algorithms for interpretation of pre-event landslide areas and landslide inventory mapping

L Kusak, FB Unel, A Alptekin, MO Celik… - Open Geosciences, 2021 - degruyter.com
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 …

GIS-based expert knowledge for landslide susceptibility mapping (LSM): case of mostaganem coast district, west of Algeria

R Senouci, NE Taibi, AC Teodoro, L Duarte… - Sustainability, 2021 - mdpi.com
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 …

Exploring neotectonic activity in a semiarid basin: a case study of the Ain Zerga watershed

H Taib, R Hadji, Y Hamed, MS Bensalem… - Journal of Umm Al-Qura …, 2024 - Springer
Mediterranean basin exposed to ongoing processes of erosion and deformation.
Neotectonics is the study of the geological processes involved in the deformation of the …

Assessing landslide susceptibility using a machine learning-based approach to achieving land degradation neutrality

Y Achour, Z Saidani, R Touati, QB Pham… - Environmental Earth …, 2021 - Springer
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 …

Assessment of groundwater and soil pollution by leachate using electrical resistivity and induced polarization imaging survey, case of Tebessa municipal landfill, NE …

S Brahmi, F Baali, R Hadji, S Brahmi, A Hamad… - Arabian Journal of …, 2021 - Springer
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 …

A GIS-based statistical model for assessing groundwater susceptibility index in shallow aquifer in Central Tunisia (Sidi Bouzid basin)

K Ncibi, H Chaar, R Hadji, N Baccari, A Sebei… - Arabian Journal of …, 2020 - Springer
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 …

The EPIK multi-attribute method for intrinsic vulnerability assessment of karstic aquifer under semi-arid climatic conditions, case of Cheria Plateau, NE Algeria

A Nekkoub, F Baali, R Hadji, Y Hamed - Arabian Journal of Geosciences, 2020 - Springer
Karst aquifers supply an important freshwater resource for MENA (Middle East and North
Africa) semi-arid regions. Their functioning conditions reveal often several contaminations …