Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...
Improvements in sensitivity, specificity, and accurate quantitation allow researchers to glean valuable information from hundreds of samples in record time.
Heat exchanger components often use intricate lattice or cellular structures to increase surface area, improve heat transfer ...
Payments and transactions are central to the workings of iGaming platforms. However, weighing up the positives of some payment methods over others is important, as the method can impact both the ...
Abstract: Due to the dynamic variability of environmental parameters, it is difficult to monitor them in real time. In particular, the wind changes its direction very quickly. To solve this problem, a ...
1 Sinohydro Bureau 14 Co., Ltd., Kunming, Yunnan, China 2 College of Civil and Transportation Engineering, Shenzhen University, Shenzhen, Guangdong, China Rapid, accurate, and efficient prediction of ...
Background: Rising anxiety and depression among college students demand effective interventions. While reading benefits mental health, the comparative effects of different reading methods (paper, ...
The new method developed by UC San Diego engineers takes a smarter approach. Instead of retraining an entire model from ...
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