Results 11 to 20 of about 19,455 (194)
Evolutionary Spiking Neural Networks for Solving Supervised Classification Problems. [PDF]
Comput Intell Neurosci, 2019 This paper presents a grammatical evolution (GE)‐based methodology to automatically design third generation artificial neural networks (ANNs), also known as spiking neural networks (SNNs), for solving supervised classification problems. The proposal performs the SNN design by exploring the search space of three‐layered feedforward topologies with ...
López-Vázquez G +7 more
europepmc +2 more sources
RFIDeep: Unfolding the potential of deep learning for radio‐frequency identification
Methods in Ecology and Evolution, Volume 14, Issue 11, Page 2814-2826, November 2023., 2023 Abstract Automatic monitoring of wildlife is becoming a critical tool in the field of ecology. In particular, Radio‐Frequency IDentification (RFID) is now a widespread technology to assess the phenology, breeding and survival of many species. While RFID produces massive datasets, no established fast and accurate methods are yet available for this type ...
Gaël Bardon +20 more
wiley +1 more source
JDDG: Journal der Deutschen Dermatologischen Gesellschaft, Volume 21, Issue 8, Page 863-871, August 2023., 2023 Zusammenfassung Hintergrund Dermatologische Erkrankungen sind in allen Bevölkerungsgruppen weit verbreitet. Das betroffene Körperteil ist für ihre Diagnose, Therapie und Forschung von Bedeutung. Die automatische Identifizierung der abgebildeten Körperteile in dermatologischen Krankheitsbildern könnte daher die klinische Versorgung verbessern, indem sie
Sebastian Sitaru +7 more
wiley +1 more source
Application of a deep learning image classifier for identification of Amazonian fishes
Ecology and Evolution, Volume 13, Issue 5, May 2023., 2023 To address the growing prevalence of large ecological datasets combined with a need for rapid species identification tools, we describe a novel application of a computer vision model, which is built to rapidly identify Amazonian fishes from captured image data.
Alexander J. Robillard +7 more
wiley +1 more source
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 +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 +4 more
wiley +1 more source
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 +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 +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 +3 more
doaj +1 more source