Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Jesús Mariscal"'
Publikováno v:
Stats, Vol 5, Iss 4, Pp 1145-1158 (2022)
Accurate time series prediction techniques are becoming fundamental to modern decision support systems. As massive data processing develops in its practicality, machine learning (ML) techniques applied to time series can automate and improve predicti
Externí odkaz:
https://doaj.org/article/6ce67ab0479743e9b7e918ac4c732947
Autor:
Juan D. Borrero, Jesús Mariscal
Publikováno v:
Agriculture, Vol 12, Iss 6, p 767 (2022)
New players are entering the new and important digital data market for agriculture, increasing power asymmetries and reinforcing their competitive advantages. Although the farmer remains at the heart of agricultural data collection, to date, only a f
Externí odkaz:
https://doaj.org/article/c08019af2f674aacb99edd52edf09f15
Autor:
Pedro Martín Medina López, Teresa de Jesús Mariscal Chavarín, Magdalena Patricia Méndez Ramírez
Publikováno v:
Varela, Vol 18, Iss 51, Pp 250-262 (2018)
In modern times, in the educational field, having computer skills is not an option, but there is a need to introduce advances and updates in Information and Communication Technologies (ICT), which have not stopped since their appearance. With this, e
Externí odkaz:
https://doaj.org/article/ed8207cb86b14005877a6905b48c6641
Autor:
Pedro Martín Medina López, Teresa de Jesús Mariscal Chavarín, Magdalena Patricia Méndez Ramíre
Publikováno v:
Varela, Vol 18, Iss 49, Pp 53-68 (2018)
The paper describes the research developed in the Superior Technological Institute of City Constitution, in which were studied three generations of entrance, wit h the purpose of identifying the recurrence of the weaknesses of the students in th
Externí odkaz:
https://doaj.org/article/72ba938f211a4d5fb3e0fa02661c083a
El presente artículo, muestra los resultados de una investigación desarrollada, para identificar la influencia que tiene la selección de los instrumentos de evaluación, en el logro de competencias profesionales en estudiantes de nuevo ingreso en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44b76f78cf7496c81219f576e5ef59af
Autor:
Juan D. Borrero, Jesus Mariscal
Publikováno v:
Algorithms, Vol 16, Iss 9, p 423 (2023)
Efforts across diverse domains like economics, energy, and agronomy have focused on developing predictive models for time series data. A spectrum of techniques, spanning from elementary linear models to intricate neural networks and machine learning
Externí odkaz:
https://doaj.org/article/d27d6e36d6f8437a8864094fab87628e
Autor:
Juan D. Borrero, Jesus Mariscal
Publikováno v:
Mathematics, Vol 10, Iss 16, p 2915 (2022)
Time series forecasting is one of the main venues followed by researchers in all areas. For this reason, we develop a new Kalman filter approach, which we call the alternative Kalman filter. The search conditions associated with the standard deviatio
Externí odkaz:
https://doaj.org/article/a8b25df1cebf4cc999be2e9597ecaf46
Autor:
Juan D. Borrero, Jesus Mariscal
Publikováno v:
Mathematics, Vol 9, Iss 23, p 3034 (2021)
In this work, we attempted to find a non-linear dependency in the time series of strawberry production in Huelva (Spain) using a procedure based on metric tests measuring chaos. This study aims to develop a novel method for yield prediction. To do th
Externí odkaz:
https://doaj.org/article/30be8d5f1d214a1ca0aceb85c426a9eb