Overview: Algorithm selection is an engineering decision: the wrong choice can freeze a system at scale, regardless of ...

Stress is a part of everyday life. Chronic stress that persists over an extended period of time can lead to a higher risk of developing physical and mental health issues. Having a method to quantify ...

Abstract: Existing resilient consensus algorithms are mainly developed based on the mean subsequence reduced (MSR) method, which relies on the assumption that there exist at most f malicious agents in ...

shapedtw-python is an extension to the dtw-python package, implementing the shape dtw algorithm described by L. Itii and J. Zhao in their paper (it can be downloaded from here: shapeDTW: shape Dynamic ...

Accurate traffic flow prediction not only relies on historical traffic flow information, but also needs to take into account the influence of a variety of external factors such as weather conditions ...

Abstract: This article considers the longest common square subsequence (LCSqS) problem, a variant of the longest common subsequence (LCS) problem in which solutions must be square strings. A square ...

Library for time series distances (e.g. Dynamic Time Warping) used in the DTAI Research Group. The library offers a pure Python implementation and a fast implementation in C. The C implementation has ...

As of today there are over 300 million remote git repositories and the number is constantly growing. Given the high scale, efficiency in storing and transferring huge amount of data becomes extremely ...

The paper introduces two novel algorithms for predicting and propagating drought stress in plants using image sequences captured by cameras in two modalities, i.e., visible light and hyperspectral.

DNA has been identified as a promising storage system due to its high storage density, capacity and longevity, which is particularly important as our ability to create and collect data has ...