Zobrazeno 1 - 10
of 221
pro vyhledávání: '"k- nearest neighborhood"'
Autor:
Serkan Saglam, Salih Bayar
Publikováno v:
IEEE Access, Vol 12, Pp 57225-57235 (2024)
This study explores the implementation of lightweight binary classification algorithms on low-cost Field-Programmable Gate Arrays (FPGAs) for medical image analysis. Recognizing the growing demand for efficient and accurate diagnostic tools in health
Externí odkaz:
https://doaj.org/article/4bac4793c44b41b993e8d6f116f312b7
Autor:
Hyunsuk Kim, Woojin Kim, Jungsook Kim, Seung-Jun Lee, Daesub Yoon, Oh-Cheon Kwon, Cheong Hee Park
Publikováno v:
ETRI Journal, Vol 45, Iss 1, Pp 75-92 (2023)
Level 3 autonomous vehicles require conditional autonomous driving in which autonomous and manual driving are alternately performed; whether the driver can resume manual driving within a limited time should be examined. This study investigates whethe
Externí odkaz:
https://doaj.org/article/7247164b9ed242dfac30e1f1a9781661
Publikováno v:
Journal of Modern Power Systems and Clean Energy, Vol 11, Iss 2, Pp 523-533 (2023)
In the electricity market environment, electricity price forecasting plays an essential role in the decision-making process of a power generation company, especially in developing the optimal bidding strategy for maximizing revenues. Hence, it is nec
Externí odkaz:
https://doaj.org/article/51ec7c6eae7949028336cd13d6f0d0a3
Autor:
EDUARDO VERAS ARGENTO
[pt] Em meio ao avanço expressivo da tecnologia e às evoluções contínuas observadas no ramo de inteligência artificial, esta última se mostrou ter potencial para ser aplicada a diferentes setores da sociedade. No contexto de extrema competitiv
Publikováno v:
Sensors, Vol 24, Iss 2, p 615 (2024)
With the increasing scale of deep-sea oil exploration and drilling platforms, the assessment, maintenance, and optimization of marine structures have become crucial. Traditional detection and manual measurement methods are inadequate for meeting thes
Externí odkaz:
https://doaj.org/article/d18e80e0244146d3a0c3fa3501fbdd96
Akademický článek
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Akademický článek
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Publikováno v:
IEEE Access, Vol 9, Pp 18607-18624 (2021)
This paper proposes a novel framework for analyzing the localization accuracy of data fusion for fingerprinting approaches in non-line-of-sight (NLOS) environments. Using simulation data generated for two very different NLOS environments (a suburban
Externí odkaz:
https://doaj.org/article/55c27661e93242a1862724e9cdc8afbf
Publikováno v:
IEEE Access, Vol 9, Pp 81370-81379 (2021)
With the increased use of machine learning algorithms to make decisions which impact people’s lives, it is of extreme importance to ensure that predictions do not prejudice subgroups of the population with respect to sensitive attributes such as ra
Externí odkaz:
https://doaj.org/article/9fb86190df9d412e890c49413c9a979f
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
This paper compares the predictive power of different models to forecast the real U.S. GDP. Using quarterly data from 1976 to 2020, we find that the machine learning K-Nearest Neighbour (KNN) model captures the self-predictive ability of the U.S. GDP
Externí odkaz:
https://doaj.org/article/8465c35857ad403c94c293ca5fc264d3