This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...
New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such ...
Abstract: To solve dynamic multiobjective optimization problems (DMOPs), the optimization algorithms are required to track the movement of the Pareto set after the environmental changes effectively.
Abstract: University students engaged in online learning often exhibit high levels of academic procrastination. Thus, various studies have investigated this phenomenon to provide solutions to mitigate ...