Landslide susceptibility mapping is one of the crucial stages of landslide hazard and risk
assessment. Moreover, the susceptibility maps assist planners, local administrations, and …

Landslides are a common and challenging geohazard that may be caused by earthquakes,
rainfall, or manmade activity. Various monitoring strategies are used in order to safeguard …

In this paper, we propose a generalized regression neural networks (GRNNS) with K-fold
cross-validation (GRNNSK) method for predicting the displacement of landslide …

Water quality monitoring programs are essential planning and management tools, but they
face many challenges in the developing world. The scarcity of financial and human …

Landslides account for approximately 5% of natural disasters resulting in significant socio-
economic impacts. As a major infrastructure issue, slope stability has been traditionally …

For the design of Municipal Solid Waste (MSW) landfills, especially in the initial stages of the
project, shear strength parameters are often selected from published results or literature …

Combined landslide susceptibility mapping and temporal early warning of failures can be a
powerful method for mitigation and timely evacuation, but modeling must be well informed …

Only a minority of young people in developing countries goes to university. Those who do
will probably be the future leaders of their society. Bogotá and Curitiba are known worldwide …

This paper proposes functional networks as novel intelligence paradigm scheme for
landslide displacement prediction. They evaluate unknown neuron functions from given …

Abstract Chapada das Mesas National Park extends over an area of 160,046 ha in the
municipalities of Carolina, Riachão, Estreito and Imperatriz in the south central region of the …