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Environment All models were tested on Ubuntu 20.04 with Python 3.10 and PyTorch 2.0.1 with CUDA 11.7. Dependencies include Python packages such as scipy, simdkalman and openai==0.28.0. Dataset ...
This study explores traffic patterns on Taiwanese highways during consecutive holidays, with a focus on understanding the behavior of Taiwanese highway traffic. We propose a prediction-based detection ...
Three different cohorts are used in the study: The CODE study cohort, with n=1,558,415 patients was used for training and testing: exams from 15% of the patients in this cohort were used for testing.
To address the architecture complexity and ill-posed problems of neural networks when dealing with high-dimensional data, this article presents a Bayesian-learning-based sparse stochastic ...
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