The COVID-19 pandemic had brought changes to individuals, especially in consumer
behavior. As the government of different countries has been implementing safety protocols …

Abstract Machine learning algorithms are capable of handling complex non-linear problems
related to the prediction domain, but further exploration is required for automated, semi …

Urbanization has escalated air pollution levels with subsequent health implications. This
study explores the potential of awareness about air quality levels on travelers' choices and …

Weather forecasting has always been challenging due to the atmosphere's complex and
dynamic nature. Weather conditions such as rain, clouds, clear skies, and sunniness are …

Walking is the primary means of transportation. For assessing individual's health, travel
behaviour and benchmarking service levels of pedestrian infrastructure, walking/crossing …

Travel mode choice (TMC) prediction is crucial for transportation planning. Most previous
studies have focused on TMC in adults, whereas predicting TMC in children has received …

Examining how travel distance is associated with travel mode choice is essential for
understanding traveler travel patterns and the potential mechanisms of behavioral changes …

Background: Hindered by its unspecific clinical and phenotypical presentation, cardiac
sarcoidosis (CS) remains a challenging diagnosis. Objective: Utilizing cardiac magnetic …

Background: Conventional bike sharing systems are frequently adding electric bicycles. A
major question now arises: Does the bike sharing system have a sufficient number of ebikes …

Public transportation is an essential criterion that benefits several social sectors. Hence,
most developing countries display an increase in the demand for enhanced public utility …