Soon after its emergence, COVID-19 became a global problem. While different types of
vaccines and treatments are now available, still non-pharmacological policies play a critical …

Density has gained considerable attention in policy and scientific discourses since the
emergence of COVID-19. In the early days, density was blamed as a negative factor that …

Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

Mapping individuals' sense of hearing in the urban environment helps urban managers and
planners accomplish goals such as creating a favorable urban environment for the citizens …

Flash floods are one of the worst natural disasters, causing massive economic losses and
many deaths. Creating a flood susceptibility map (FSM) that pinpoints the areas most at risk …

Driver drowsiness leads to fatal road traffic accidents. The effects of drowsy driving on
electroencephalogram (EEG) signal are well visible. Accordingly, classifying EEG signal …

This study aims to address the existing gaps in evidence regarding spatio-temporal
modeling of COVID-19 spread, specifically focusing on the impact of different urban land …

Recurring wildfires pose a critical global issue as they undermine social and economic
stability and jeopardize human lives. To effectively manage disasters and bolster community …

To mitigate the impact of dust on human health and the environment, it is crucial to create a
model and map that identifies the areas susceptible to dust. The present study focused on …

The main aim of this study was to use two metaheuristic optimization algorithms—a genetic
algorithm (GA) and a teaching-learning-based optimization (TLBO) algorithm—to determine …