Results 21 to 30 of about 795,225 (134)

Scalability and Performance Analysis in 5G Core Network Slicing

IEEE Access, 2020
Slicing the 5G core network involves specifying network services according to the functional and quality requirements of typical 5G use cases. In doing so, assessing the scalability and performance of network services plays a leading role, since it ...
Carlos Hernan Tobar Arteaga, Armando Ordonez, Oscar Mauricio Caicedo Rendon   +2 more
doaj   +1 more source

Comparing gradient boosting machine and Bayesian threshold BLUP for genome‐based prediction of categorical traits in wheat breeding

The Plant Genome, Volume 15, Issue 3, September 2022., 2022
Abstract Genomic selection (GS) is a predictive methodology that is changing plant breeding. Genomic selection trains a statistical machine‐learning model using available phenotypic and genotypic data with which predictions are performed for individuals that were only genotyped.
Osval Antonio Montesinos‐López, Henry Nicole Gonzalez, Abelardo Montesinos‐López, María Daza‐Torres, Morten Lillemo, José Cricelio Montesinos‐López, José Crossa   +6 more
wiley   +1 more source

Using an incomplete block design to allocate lines to environments improves sparse genome‐based prediction in plant breeding

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, Abelardo Montesinos‐Lopez, Ricardo Acosta, Rajeev K. Varshney, Alison Bentley, Jose Crossa   +5 more
wiley   +1 more source

MEGAESTAND: plataforma telemática para la gestión de palets reutilizables en la cadena de suministro mediante tecnología RFID [PDF]

, 2006
La empresa ECOMOVISTAND ha patentado un palet ecológico y reutilizable, denomimado M.T., orientado al sector de la distribución y la logística. Es necesario un sistema logístico novedoso e innovador que no está disponible en la actualidad y que requiere ...
Martínez Sala, Alejandro Santos, Egea López, Esteban, Martínez León, Juan Antonio, García Haro, Juan, Vales Alonso, Javier   +4 more
core   +4 more sources

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, Pedro Chamorro-Posada, Javier Manuel Aguiar-Pérez, María Ángeles Pérez-Juárez, Pablo Casaseca-De-La-Higuera   +4 more
doaj   +1 more source

Application of a Poisson deep neural network model for the prediction of count data in genome‐based prediction

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, Jose C. Montesinos‐Lopez, Eduardo Salazar, Jose Alberto Barron, Abelardo Montesinos‐Lopez, Raymundo Buenrostro‐Mariscal, Jose Crossa   +6 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, Sara Lana Serrano, Marta Muriel Elduayen, José-Fernán Martínez-Ortega   +3 more
doaj   +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, Abelardo Montesinos‐López, Carlos Moises Hernandez‐Suarez, José Alberto Barrón‐López, José Crossa   +4 more
wiley   +1 more source

Big Data and precision agriculture: a novel spatio-temporal semantic IoT data management framework for improved interoperability

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, José-Fernán Martínez-Ortega, Vicente Hernández Díaz, Néstor Lucas Martínez   +3 more
doaj   +1 more source

Modelado fractal de tráfico de la red de Ingeniería Telemática [PDF]

, 2004
El estudio de Leland en la década de los 90 estableció la base de considerar la auto-similitud como una noción importante en la comprensión del tráfico de red (incluyendo el modelado y el análisis de su rendimiento), y desde entonces se ha investigado ...
Bravo García, Patricia
core   +2 more sources