The ambiguity and incompleteness of electric vehicle (EV) user behavior preferences, as well as the uncertainty of randomly arriving EV charging demands, pose significant challenges for the scheduling ...

McKetta Department of Chemical Engineering, The University of Texas at Austin, Austin, Texas 78712, United States Oden Institute for Computational Engineering and Sciences, The University of Texas at ...

Welcome to Play Smart, a regular GOLF.com game-improvement column that will help you become a smarter, better golfer. To generate your maximum power, you’ve got to know how to properly shift your ...

I'd like to contribute an implementation of the Weighted Interval Scheduling problem under the Dynamic Programming section of the repository. This is a classic optimization problem where each interval ...

Department of Radiology, Shanghai Fourth People’s Hospital, School of Medicine, Tongji University, Shanghai, China Background: In dynamic contrast-enhanced T1-weighted imaging (DCE-T1WI) of breast ...

For those who walk regularly for better fitness, they are extremely particular about completing their 10,000 steps daily. However, moving over to that is the new Japanese walking—also known as ...

The neural networks dominating AI in recent years have achieved a remarkable level of behavioral flexibility, in part due to their capacity to learn new tasks from only a few examples. These ...