Results 21 to 30 of about 139 (108)
Abstract High‐throughput phenotyping technologies, which can generate large volumes of data at low costs, may be used to indirectly predict yield. We explore this concept, using high‐throughput phenotype information from Fourier transformed near‐infrared reflectance spectroscopy (NIRS) of harvested kernels to predict parental grain yield in maize (Zea ...
Holly M. Lane +8 more
wiley +1 more source
Estudio de correlación entre la simulación telemática y las destrezas lingüísticas en inglés
El artículo trabajo presenta un estudio cuantitativo discreto mediante un estudio de correlación entre la simulación telemática y el progreso en destrezas lingüísticas en inglés.
María Laura Angelini +2 more
doaj +1 more source
Aprendizaje basado en tareas aplicado a la enseñanza de las Telecomunicaciones
El aprendizaje basado en tareas (TDL) puede ser aplicado como un complemento para cursos presenciales. Con esto se busca lograr un proceso de enseñanza-aprendizaje más centrado en el estudiante, donde sea posible prestar atención a las individualidades ...
Yannelys V. Jerez Naranjo +1 more
doaj +1 more source
Empirical Mode Decomposition and Neural Networks on FPGA for Fault Diagnosis in Induction Motors
Nowadays, many industrial applications require online systems that combine several processing techniques in order to offer solutions to complex problems as the case of detection and classification of multiple faults in induction motors.
David Camarena-Martinez +4 more
doaj +1 more source
On‐farm trials of bread and durum wheat in the Yaqui Valley region of southern Sonora, Mexico, were established for three cropping seasons (2012, 2013, and 2015) using the management practices implemented by farmers. The trials comprised bread and durum wheats that were sown together under two regimes: full irrigation and reduced irrigation.
Mateo Vargas Hernández +6 more
wiley +1 more source
Multivariate Bayesian Analysis of On‐Farm Trials with Multiple‐Trait and Multiple‐Environment Data
Multivariate analysis is preferred over univariate analysis in plant breeding studies because it can exploit correlated traits and environments, whereas Bayesian analysis provides a natural way to incorporate prior knowledge and inferences that are conditional on the observed data. The objective of this paper is to show how to use multivariate Bayesian
Osval A. Montesinos‐López +6 more
wiley +1 more source
Aquaculture is a growing industry, and its sustainability is crucial. One of its major environmental impacts is the uneaten feed that pollutes the water. To minimize the uneaten feed, many systems have been developed. Nevertheless, current systems can be improved by considering the fish position in the tank and the falling feed.
Lorena Parra +4 more
wiley +1 more source
Optimizing genomic prediction with transfer learning under a ridge regression framework
Abstract Genomic selection (GS) is a predictive plant and animal methodology that allows the selection of plants and animals based on predictions without the need to measure the phenotype. However, its practical application requires challenging prediction accuracy due to the noise observations collected in experiments in these areas.
Osval A. Montesinos‐López +8 more
wiley +1 more source
On Designing Transport Networks With Latency Guarantees for Next‐Generation Services
This article presents an open‐source network simulator and digital twin focused on Metropolitan Area Networks (MAN). Our tool is capable of estimating average latency and delay percentiles between every pair of nodes with minimal computational effort, with the ultimate goal of seeing if the MAN is capable of supporting emerging services and ...
Nataliia Koneva +3 more
wiley +1 more source
Different data are collected by diverse sensors under an Internet of things scenario, such as health data, environmental data, and traffic flow data. People can access data remotely via the Internet easily. Considering the importance and confidentiality of these data, it is necessary to ensure the data security.
Yuwen Chen +4 more
wiley +1 more source

