A Python-based module for detecting historical matches in time-series of stock market data. Price-series match-seeking algorithm is designed to identify similar data patterns within historical ...
During the penetration process of hypersonic glide vehicles (HGV), the maneuvering forms are varied, which brings some challenges for tracking them, such as difficulty in the stable matching of single ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
PARIS, July 21 (Reuters) - Paris prosecutors requested information from social media platform X about its algorithm as part of a probe into organised gangs' possible tampering with an automated data ...
ABSTRACT: To effectively evaluate a system that performs operations on UML class diagrams, it is essential to cover a large variety of different types of diagrams. The coverage of the diagram space ...
NEW YORK, July 9 (Reuters) - TikTok is preparing to launch a standalone app for U.S. users that is expected to operate on a separate algorithm and data system from its global app, laying the ...
Periodic pattern mining, a branch of data mining, is expanding to provide insight into the occurrence behavior of large volumes of data. Recently, a variety of industries, including fraud detection, ...
Abstract: As chip manufacturing approaches physical limits, the probability of defects due to specific chip layout structures has significantly increased. These defect-prone structures are known as ...
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