Results 21 to 30 of about 532 (148)

Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation

Methods in Ecology and Evolution, Volume 13, Issue 11, Page 2622-2634, November 2022., 2022
Abstract Tropical forests are subject to diverse deforestation pressures while their conservation is essential to achieve global climate goals. Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground ...
James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman   +3 more
wiley   +1 more source

Automated identification of diverse Neotropical pollen samples using convolutional neural networks

Methods in Ecology and Evolution, Volume 13, Issue 9, Page 2049-2064, September 2022., 2022
Abstract Pollen is used to investigate a diverse range of ecological problems, from identifying plant–pollinator relationships to tracking flowering phenology. Pollen types are identified according to a set of distinctive morphological characters which are understood to capture taxonomic differences and phylogenetic relationships among taxa.
Surangi W. Punyasena, Derek S. Haselhorst, Shu Kong, Charless C. Fowlkes, J. Enrique Moreno   +4 more
wiley   +1 more source

Artificial intelligence to improve efficiency of administration of gross motor function assessment in children with cerebral palsy

Developmental Medicine &Child Neurology, Volume 64, Issue 2, Page 228-234, February 2022., 2022
Aim To create a reduced version of the 66‐item Gross Motor Function Measure (rGMFM‐66) using innovative artificial intelligence methods to improve efficiency of administration of the GMFM‐66. Method This study was undertaken using information from an existing data set of children with cerebral palsy participating in a rehabilitation programme ...
Ibrahim Duran, Christina Stark, Ahmet Saglam, Alexandra Semmelweis, Heidrun Lioba Wunram, Karoline Spiess, Eckhard Schoenau   +6 more
wiley   +1 more source

Microglia modulate hippocampal synaptic transmission and sleep duration along the light/dark cycle

Glia, Volume 70, Issue 1, Page 89-105, January 2022., 2022
Main Points Neuronal spontaneous activity and microglial CX3CR1 increase in the dark. Microglia alterations affect sleep and synaptic transmission in a phase‐dependent manner. CX3CR1 mediates microglial effects on neuronal activity in the light/dark cycle.
Giorgio Corsi, Katherine Picard, Maria Amalia di Castro, Stefano Garofalo, Federico Tucci, Giuseppina Chece, Claudio del Percio, Maria Teresa Golia, Marcello Raspa, Ferdinando Scavizzi, Fanny Decoeur, Clotilde Lauro, Mara Rigamonti, Fabio Iannello, Davide Antonio Ragozzino, Eleonora Russo, Giovanni Bernardini, Agnès Nadjar, Marie Eve Tremblay, Claudio Babiloni, Laura Maggi, Cristina Limatola   +21 more
wiley   +1 more source

Big Data, AI und die Freude am Ingenieurwesen Big Data, AI, and the Pleasures of Engineering

Chemie Ingenieur Technik, Volume 93, Issue 3, Page 364-372, March 2021., 2021
Gegen die allzu einmütige Begeisterung gegenüber Big Data und AI soll in diesem Beitrag ein kleiner Kontrapunkt gesetzt werden. Konkret wird nach den Auswirkungen dieser Techniken auf die Ingenieurwissenschaften gefragt. Die provokative Schlussfolgerung lautet: Big Data und AI verderben – mittelfristig – den Spaß am Ingenieurwesen.
Michael Kuhn
wiley   +1 more source

Empleo de redes neuronales artificiales en redes de distribución eléctrica

Revista Cubana de Ciencias Informáticas, 2011
En el trabajo se muestran las experiencias alcanzadas  en la aplicación de las Redes Neuronales Artificiales para resolver problemas tales como  la predicción de carga y de pérdidas de energía en las líneas y la localización de zonas en falla en ...
Alexander Cabrera, Delmar Jaime, Dante Miraglia, Sergio de la Fé Dotres   +3 more
doaj   +1 more source

Modelo basado en redes neuronales para predecir las emisiones en un motor diésel que opera con mezclas de biodiésel de higuerilla

Informador Técnico, 2012
En este documento se explican algunos métodos de identificación de sistemasno lineales mediante el uso de redes neuronales artificiales. También se planteaun modelo basado en redes neuronales Feed Forward supervisadas, desarrolladopara identificar y ...
Fabio Narváez, Fabio Emiro Sierra Vargas, Manuel Antonio Montenegro Mier   +2 more
doaj   +1 more source

The hidden science of haptics: A pedagogical review of tactile evaluation in cosmetics

International Journal of Cosmetic Science, Volume 48, Issue 3, Page 600-634, June 2026.
This review explores the physiological basis of tactile perception and critically examines classical and emerging sensory methods used in cosmetics, advocating for broader methodological integration and recognition of sensory analysis in the field. Abstract Sensory analysis is a cornerstone of cosmetic development, yet remains underrepresented in peer ...
Morgane Postec, Daria Terescenco, Ecaterina Gore   +2 more
wiley   +1 more source

Apuntes de Redes Neuronales Artificiales

CoRR, 2018
20 pages, in ...
openaire   +2 more sources

Un nuevo enfoque para la resolución de problemas: redes neuronales

Revista Escuela de Administracion de Negocios, 1995
RESUMEN El siguiente artículo  expone los lineamientos generales de un nuevo enfoque para la resolución de problemas mediante computador. Inspiradas en las redes neuronales biológicas, las redes neuronales artifíciales han  mostrado mayor efectividad ...
Jonatán Gómez Perdomo
doaj   +2 more sources