Zobrazeno 1 - 10
of 2 143
pro vyhledávání: '"WEKA"'
Publikováno v:
CPU-e, Iss 39 (2024)
El presente artículo tiene como objetivo caracterizar a los estudiantes del departamento de Nariño (Colombia) según el puntaje logrado en matemáticas en la prueba Saber 11, periodo 2021-B. Esta investigación fue descriptiva-correlacional, de enf
Externí odkaz:
https://doaj.org/article/94c7f1bd546849a6aae7ae433b191632
Publikováno v:
Data Technologies and Applications, 2023, Vol. 58, Issue 1, pp. 95-112.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/DTA-06-2022-0232
Autor:
Tinnemans, Joris S. J.1 jtinnemans@doc.govt.nz, Elliott, Graeme P.1, Rawlence, Tristan E.1, McDonald, Anja1, Nydegger Bell, Mara A.1, Bell, Christopher W.2, Moran, Kirsty J.1
Publikováno v:
New Zealand Journal of Ecology. 2019, Vol. 43 Issue 1, p1-11. 11p.
Autor:
Meiru Wang, Shuhao Chen, Shixiong Cheng, Tom A.P. Nederstigt, Robert E. Poelmann, Marco C. DeRuiter, Gerda E.M. Lamers, Joost J. Willemse, Chiara Mascitelli, Martina G. Vijver, Michael K. Richardson
Publikováno v:
Environment International, Vol 188, Iss , Pp 108723- (2024)
Nanoplastics can cause severe malformations in chicken embryos. To improve our understanding of the toxicity of nanoplastics to embryos, we have studied their biodistribution in living chicken embryos. We injected the embryos in the vitelline vein at
Externí odkaz:
https://doaj.org/article/f39ba361ead14df896bcc88cf5f2972b
Publikováno v:
Jurnal Informatika, Vol 11, Iss 2, Pp 203-211 (2023)
Sakinah Mart is a retail business that focuses on determining the layout of goods based on perceptions and implementing a discount system for specific items, but without offering bundling packages. This research aims to provide recommendations using
Externí odkaz:
https://doaj.org/article/c85f4f08284d47afa8b32d8f3b86bbc0
Publikováno v:
CTE Workshop Proceedings, Vol 11 (2024)
Machine learning methods for clustering and classification are widely used in various domains. However, their performance and applicability may depend on the characteristics of the data and the problem. In this paper, we present an empirical comparis
Externí odkaz:
https://doaj.org/article/06908c42301f47c691e5f7b66be595f4
Publikováno v:
Engineering, Technology & Applied Science Research, Vol 14, Iss 1 (2024)
A key challenge in developing Machine Learning (ML) models for predicting or diagnosing Cardiovascular Disease (CVD), is selecting suitable algorithms and fine-tuning their parameters. In this study, we employed three ML techniques, namely Auto-WEKA,
Externí odkaz:
https://doaj.org/article/780c526942df4d8b9b00d8f53785c76d
Publikováno v:
Heliyon, Vol 10, Iss 2, Pp e24716- (2024)
Underground mining is currently one of the Spanish economic sectors with the worst accident rates. Besides, the most frequent type of accident, and with the most serious consequences, is the one in which the injured worker is hit by a moving object.
Externí odkaz:
https://doaj.org/article/4c66c01569e5480d9df77dbf5afa4693
Publikováno v:
Journal of Water and Land Development, Iss No 58, Pp 25-30 (2023)
A machine learning model was developed to support irrigation decisions. The field research was conducted on ‘Gala’ apple trees. For each week during the growing seasons (2009–2013), the following parameters were determined: precipitation, evapo
Externí odkaz:
https://doaj.org/article/02118a88d88d40b8982eaddede626c3f
Autor:
Rawal, Atul, Lal, Bechoo
Publikováno v:
Journal of Indian Business Research, 2023, Vol. 15, Issue 2, pp. 262-277.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JIBR-08-2022-0209