Objective: This study aimed to identify critical time points in SA-AKI progression development and validate dynamic, stratified machine learning prediction models for moderate-to-severe (Kidney ...
Houston has already felt the first wave of World Cup traffic. Now, with a high-stakes July 4 match approaching, officials are ...
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Platforms like Kalshi let millions wager on sports and pop culture. They’re now hoping institutions will use them for big-ticket trading like hedging. By Michael J. de la Merced Most people use ...
Federated Spatial-Temporal Synchronous Graph Convolutional Network for Cross-City Traffic Prediction
Abstract: Accurate traffic forecasting plays a vital role in modern intelligent transportation systems and enables proactive traffic management and well-informed decision-making. Although existing ...
Tim Fang is a digital producer at CBS Bay Area. A Bay Area native, Tim has been a part of the CBS Bay Area newsroom for more than two decades and joined the digital staff in 2006. As the San Francisco ...
Abstract: As the prediction horizon increases, predicting the future evolution of traffic scenes becomes increasingly difficult due to the multi-modal nature of agent motion. Most state-of-the-art ...
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