Due to the increasing volume of electric vehicles in automotive markets and the limited
lifetime of onboard lithium-ion batteries, the large-scale retirement of batteries is imminent …

< jats: p> The primary task of machine learning is to extract valuable information from the
data that is generated every day, process it to learn from it, and take useful actions. Original …

Landslides are among the most devastating natural hazards, severely impacting human
lives and damaging property and infrastructure. Landslide susceptibility maps, which help to …

Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …

Floods are one of nature's most destructive disasters because of the immense damage to
land, buildings, and human fatalities. It is difficult to forecast the areas that are vulnerable to …

Forest fire disaster is currently the subject of intense research worldwide. The development
of accurate strategies to prevent potential impacts and minimize the occurrence of disastrous …

Floods are among the most destructive natural disasters, which are highly complex to model.
The research on the advancement of flood prediction models contributed to risk reduction …

Historical exploration of flash flood events and producing flash-flood susceptibility maps are
crucial steps for decision makers in disaster management. In this article, classification and …

With the rapid development of electric vehicles, the safe and environmentally friendly
disposal of retired lithium batteries (LIBs) is becoming a serious issue. Echelon utilization of …

Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …