In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual reviews of satellite images taking multiple months, land-use change can ...
A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...
Babasola Osibo's study demonstrates how machine learning and smart controls cut power use and enhance sustainability in energy-hungry data centers. At the heart of Osibo's framework are three ...
Abstract: Although deep learning-based methods have shown great success in spatiotemporal predictive learning, the frameworks of those models are mainly designed by intuition. How to make ...
Figure 1: PrePrompt two-stage framework (left) and feature extrapolation mechanism (right). 🔥 Official PyTorch implementation of PrePrompt, a two-stage predictive prompting framework that enables pre ...
1 School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, USA. 2 Department of Electrical and Computer Engineering, Duke University, Durham, NC, USA. As cloud ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks for crystal property prediction typically require precise atomic ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...
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