Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Machine-learning classification algorithms"'
Publikováno v:
Powders, Vol 2, Iss 2, Pp 299-322 (2023)
The harsh and hostile internal environment of semi-autogenous (SAG) mills renders real-time monitoring of some critical variables practically unmeasured. Typically, feed size fractions are known to cause mill fluctuations and impede the consistent pr
Externí odkaz:
https://doaj.org/article/a6432784a7ba4e6abefbacdc6e991d87
Publikováno v:
IEEE Access, Vol 11, Pp 52509-52526 (2023)
Machine learning (ML) provides effective solutions to develop efficient intrusion detection system (IDS) for various environments. In the present paper, a diversified study of various ensemble machine learning (ML) algorithms has been carried out to
Externí odkaz:
https://doaj.org/article/a1a91a94b0ba488e8a2e6fd531fda6d0
Publikováno v:
Transportation Engineering, Vol 12, Iss , Pp 100179- (2023)
Predicting the severity of injuries caused by traffic accidents is an important undertaking because it may lead to establishing regulations increasing road-user safety. Bicyclists are a particularly susceptible category of road users, which is especi
Externí odkaz:
https://doaj.org/article/b225feee33cf4b5786161ca5c0c021ea
Autor:
Chakraborty, Aditya, Tsokos, Chris P
Publikováno v:
Amfiteatru Economic / Economic Amphitheater. 23(SI 15):1031-1045
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=987516
Autor:
Lubomír Štěpánek, Filip Habarta, Ivana Malá, Ladislav Štěpánek, Marie Nakládalová, Alena Boriková, Luboš Marek
Publikováno v:
Mathematics, Vol 11, Iss 4, p 819 (2023)
The Cox proportional hazard model may predict whether an individual belonging to a given group would likely register an event of interest at a given time. However, the Cox model is limited by relatively strict statistical assumptions. In this study,
Externí odkaz:
https://doaj.org/article/b73186b06e654f9daba54f79f1bd15e1
Autor:
Elena-Manuela MANOLE
Publikováno v:
Studia Universitatis Babes-Bolyai: Series Informatica, Vol 66, Iss 1 (2021)
Self Organizing Maps (SOM) are unsupervised neural networks suited for visualisation purposes and clustering analysis. This study uses SOM to solve a software engineering problem: detecting the most important (key) classes from software projects. Key
Externí odkaz:
https://doaj.org/article/851e5d997cef41f9bf10991d5326671f
Autor:
Mehak Arora, Stephen C. Zambrzycki, Joshua M. Levy, Annette Esper, Jennifer K. Frediani, Cassandra L. Quave, Facundo M. Fernández, Rishikesan Kamaleswaran
Publikováno v:
Metabolites, Vol 12, Iss 3, p 232 (2022)
Point-of-care screening tools are essential to expedite patient care and decrease reliance on slow diagnostic tools (e.g., microbial cultures) to identify pathogens and their associated antibiotic resistance. Analysis of volatile organic compounds (V
Externí odkaz:
https://doaj.org/article/7239b35896ca44f3b4610dfc424c5e27
Autor:
T .Aditya Sai Srinivas, B. Thulasi Thanmai, A. David Donald, G. Thippanna, I. Venkat Sai, I. V. Dwaraka Srihith
Machine learning has become a powerful tool in various domains, and practitioners are constantly seeking real-life use cases to develop unique and practical projects. In this context, a compelling machine learning project involves comparing classific
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3babd9fb0ea6258f5261ec94e2e633b
Autor:
Elçin TİMUR ÇAKMAK, Ayşe OĞUZLAR
Publikováno v:
Volume: 15, Issue: 1 55-68
International Journal of Social Inquiry
International Journal of Social Inquiry
This study is aimed at measuring the perception created by the COVID-19 vaccines on people around the world using Sentiment Analysis – taking into account the fifth generation (5G) cellular networks, which are expected to bring new capabilities tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a76f3073e4f94fcfee10bfe7dbdc869f
https://doi.org/10.37093/ijsi.928685
https://doi.org/10.37093/ijsi.928685
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