This paper explores the applications of machine learning for predicting the travel time in the ride-sourcing networks using the Uber movement dataset. Using the Python programming environment, a case study is presented to analyze the travel time of the ride-sourcing services from the central...

Background: Due to the growing demand for energy and environmental issues related to using fossil fuels, it is becoming tremendously important to find alternative energy sources. Bioethanol produced from switchgrass is considered as one of the best alternatives to fossil fuels. Methods: This...