Any home gardener knows they have to tailor their watering regime for different plants. Forgetting to water their flowerbed ...

This paper introduces a modulation-adaptive link-disjoint path selection model by considering a step function based on realistic modulation formats in order to minimize the total number of utilized ...

The elastic-viscoplastic model constants are given by Jeong et al. (1993) are summarized in Tables 7 and 8. The object here is not only to investigate how the second version of Bodner and Partom's ...

This paper focuses on the 3D shape recovery and augmented reality on elastic objects with self-occlusions handling, using only single view images. Shape recovery from a monocular video sequence is an ...

Using a simple supply-demand elasticity model, a 10% reduction in global oil supply (assuming 100 million barrels daily) with a price elasticity of 0.2 could yield a 50% price increase, aligning with ...

This is the initial release of the PINNs Settlement of Footing project. The implementation uses Physics-Informed Neural Networks (PINNs) to simulate the vertical settlement of a shallow footing on ...

The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...