Chongwei Shi Advances Biostatistical Methods and Computational Biology Through Deep Learning and Statistical Shape Analysis

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
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New statistical tool enhances prediction accuracy

This prediction approach achieves higher agreement in predictions by optimizing the concordance correlation coefficient (CCC), which measures how well pairs of observations fall on the 45-degree line ...
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Are state-of-the-art deep learning traffic prediction models truly effective?

All of the baseline models achieve excellent performance in predicting high speed while performing extremely poorly in predicting lower ones. Specifically, even if the prediction horizon is 60 mins, a ...
EurekAlert!

AI-based prediction of train-induced environmental vibration with limited measurements

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
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AI Weather Models Prove Prediction Accuracy in Real-world Test with 38 Million Indian Farmers

AI weather models have correctly predicted a 20-day monsoon stall in India affecting 38 million farmers, demonstrating ...