Zobrazeno 1 - 10
of 627
pro vyhledávání: '"Distance metrics"'
Autor:
Matías Guzmán Naranjo, Gerhard Jäger
Publikováno v:
Open Research Europe, Vol 3 (2024)
It is common for people working on linguistic geography, language contact and typology to make use of some type of distance metric between lects. However, most work so far has either used Euclidean distances, or geodesic distance, both of which do no
Externí odkaz:
https://doaj.org/article/e011e6e483524012a23afd5a68e9e4b7
Autor:
Takafumi Nakanishi
Publikováno v:
IEEE Access, Vol 12, Pp 52623-52640 (2024)
In the evolving landscape of interpretable machine learning (ML) and explainable artificial intelligence, transparent and comprehensible ML models are crucial for data-driven decision-making. Traditional approaches have limitations in distinguishing
Externí odkaz:
https://doaj.org/article/69df6957d61f40ff942f1a6160426d5c
Autor:
Yujing Lin, Xiaoqiang Li
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7016 (2024)
With increasing researched focus on industrial anomaly detection, numerous methods have emerged in this domain. Notably, memory bank-based approaches coupled with k distance metrics have demonstrated remarkable performance in anomaly detection (AD) a
Externí odkaz:
https://doaj.org/article/a7291d404d7347989ffb952a0dca1d6a
Autor:
Chandula T. Wickramarachchi, Paul Gardner, Jack Poole, Clemens Hübler, Clemens Jonscher, Raimund Rolfes
Publikováno v:
Data-Centric Engineering, Vol 5 (2024)
A significant challenge of structural health monitoring (SHM) is the lack of labeled data collected from damage states. Consequently, the collected data can be incomplete, making it difficult to undertake machine learning tasks, to detect or predict
Externí odkaz:
https://doaj.org/article/41b5c22685c9457eb77752128faab3c4
Publikováno v:
Animals, Vol 14, Iss 8, p 1175 (2024)
The automated recognition of individual cows is foundational for implementing intelligent farming. Traditional methods of individual cow recognition from an overhead perspective primarily rely on singular back features and perform poorly for cows wit
Externí odkaz:
https://doaj.org/article/0f67ef632ac9456ea18fcb7f1a80b799
Publikováno v:
IEEE Access, Vol 11, Pp 61995-62012 (2023)
Forecasting research disciplines associated with research projects is a significant challenge in research information systems. It can reduce the administrative effort involved in entering research project-related metadata, eliminate human errors, and
Externí odkaz:
https://doaj.org/article/ec0a07ca7cdd4f84960eeba442e8f7c6
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 889-901 (2023)
The fast data acquisition rate due to the shorter revisit periods and wider observation coverage of satellites results in large amounts of remote sensing images every day. This brings the challenge of how to accurately search the images with similar
Externí odkaz:
https://doaj.org/article/67bf3b95568b4770b2b29692f6b508ee
Akademický článek
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Akademický článek
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Autor:
David J. Degnan, Javier E. Flores, Eva R. Brayfindley, Vanessa L. Paurus, Bobbie-Jo M. Webb-Robertson, Chaevien S. Clendinen, Lisa M. Bramer
Publikováno v:
Metabolites, Vol 13, Iss 10, p 1101 (2023)
Metabolomics provides a unique snapshot into the world of small molecules and the complex biological processes that govern the human, animal, plant, and environmental ecosystems encapsulated by the One Health modeling framework. However, this “mole
Externí odkaz:
https://doaj.org/article/6f8dc28afc6e415eaa2b6a2cfb48f617