A $1 million prize awaits anyone who can show where the math of fluid flow breaks down. With specially trained AI systems, ...
Abstract: Multivariate time series data often demonstrate sparse and irregular characteristics in real-world signal processing applications, making anomaly detection challenging. This paper introduces ...
All the tech we rely on, from cars to smartphones, was engineered using physics. You don’t need to know the science to use these things. But a well-rounded human should understand at least some of the ...
To mathematicians, equations are art. Just as many are moved by a painting or piece of music, to those who appreciate and understand math, expressions of numbers, variables, operations and relations ...
Forecasting multivariate time series is a cornerstone for countless applications, ranging from weather prediction to energy consumption management in today’s data-driven world. While effective to a ...
Front differential failures are extremely rare, but when they do start to fail, you may hear grinding, feel vibrations and have trouble steering. If you notice any of these symptoms, it’s best to have ...
We present the Mathematica package MultiHypExp that allows for the expansion of multivariate hypergeometric functions (MHFs), especially those likely to appear as solutions of multi-loop, multi-scale ...
Background: High-throughput metagenomic sequencing technologies have shown prominent advantages over traditional pathogen detection methods, bringing great potential in clinical pathogen diagnosis and ...
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