Results 21 to 30 of about 3,373 (143)
The Plant Genome, Volume 15, Issue 1, March 2022., 2022 Abstract Genomic selection (GS) is a predictive methodology that trains statistical machine‐learning models with a reference population that is used to perform genome‐enabled predictions of new lines. In plant breeding, it has the potential to increase the speed and reduce the cost of selection.
Osval Antonio Montesinos‐Lopez +5 more
wiley +1 more source
Water Detection in Satellite Images Based on Fractal Dimension
Fractal and Fractional, 2022 Identification and monitoring of existing surface water bodies on the Earth are important in many scientific disciplines and for different industrial uses.
Javier Del-Pozo-Velázquez +4 more
doaj +1 more source
The Plant Genome, Volume 14, Issue 3, November 2021., 2021 Abstract Genomic selection (GS) is revolutionizing conventional ways of developing new plants and animals. However, because it is a predictive methodology, GS strongly depends on statistical and machine learning to perform these predictions. For continuous outcomes, more models are available for GS. Unfortunately, for count data outcomes, there are few
Osval A. Montesinos‐Lopez +6 more
wiley +1 more source
Deep‐learning power and perspectives for genomic selection
The Plant Genome, Volume 14, Issue 3, November 2021., 2021 Abstract Deep learning (DL) is revolutionizing the development of artificial intelligence systems. For example, before 2015, humans were better than artificial machines at classifying images and solving many problems of computer vision (related to object localization and detection using images), but nowadays, artificial machines have surpassed the ...
Osval Antonio Montesinos‐López +4 more
wiley +1 more source
Spatio-Temporal Semantic Data Model for Precision Agriculture IoT Networks
Agriculture, 2023 In crop and livestock management within the framework of precision agriculture, scenarios full of sensors and devices are deployed, involving the generation of a large volume of data.
Mario San Emeterio de la Parte +3 more
doaj +1 more source
Journal of Big Data, 2023 Precision agriculture in the realm of the Internet of Things is characterized by the collection of data from multiple sensors deployed on the farm. These data present a spatial, temporal, and semantic characterization, which further complicates the ...
Mario San Emeterio de la Parte +3 more
doaj +1 more source
Estimación de la similitud semántica de tareas entre procesos de negocio de telecomunicaciones
Ingeniería y Ciencia, 2012 Como una medida para mejorar la competitividad en el mercado de las telecomunicaciones, actualmente las empresas del sector crean nuevos servicios de valor agregado, con el fin de ampliar su portafolio de servicios y garantizar bien sea la permanencia de
Leandro Ordóñez Ante +2 more
doaj +1 more source
Experimental Evaluation of the ETSI DCC Adaptive Approach and Related Algorithms
IEEE Access, 2020 Decentralized Congestion Control (DCC) mechanisms have been a core part of protocol stacks for vehicular networks since their inception and standardization.
Oscar Amador +3 more
doaj +1 more source
Módulo Distribuido de Subasta Java sobre CORBA de Tiempo Real
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2012 Resumen: El uso de infraestructuras middleware que permitan intercomunicar diferentes nodos de un sistema puede aliviar aspectos importantes relacionados con el coste de desarrollo y mantenimiento de dichos sistemas en entornos flexibles.
P. Basanta-Val +3 more
doaj +1 more source
Genome‐based prediction of multiple wheat quality traits in multiple years
The Plant Genome, Volume 13, Issue 3, November 2020., 2020 Abstract Wheat quality improvement is an important objective in all wheat breeding programs. However, due to the cost, time and quantity of seed required, wheat quality is typically analyzed only in the last stages of the breeding cycle on a limited number of samples.
Maria Itria Ibba +8 more
wiley +1 more source