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109 resultados encontrados.

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Determination of loratadine and pseudoephedrine sulfate in pharmaceuticals based on non-linear second-order spectrophotometric data generated by a pH-gradient flow injection technique and artificial neural networks
Artículo
Acceso abierto Artículo CONICET Digital
Determination of loratadine and pseudoephedrine sulfate in pharmaceuticals based on non-linear second-order spectrophotometric data generated by a pH-gradient flow injection technique and artificial neural networks
Culzoni, Maria Julia et al · Springer Heidelberg · 2007 · ISSN 2217-2225
Loratadine (LOR) and pseudoephedrine sulfate (PES) were determined in pharmaceutical samples by using non-linear second-order data generated by a pH-gradient flow injection analysis (FIA) system with diode-array detectio...
Idioma eng
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A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz
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A Hybrid Path Loss Prediction Model based on Artificial Neural Networks using Empirical Models for LTE And LTE-A at 800 MHz and 2600 MHz
Bruno J. Cavalcanti et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · ISSN 2179-1074
Abstract This article presents the analysis of a hybrid, error correction-based, neural network model to predict the path loss for suburban areas at 800 MHz and 2600 MHz, obtained by combining empirical propagation model...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks
Artículo
Acceso abierto Artículo CONICET Digital
Prediction of Biomethane Production of Cheese Whey by Using Artificial Neural Networks
Córdoba, Verónica Elizabeth et al · Institute of Electrical and Electronics Engineers · 2023 · ISSN 1032-1039
The search for new energy sources has intensified today worldwide. In Argentina, bioenergy continues to be the energy with minor participation in the energy matrix. Therefore, research should focus on searching for new s...
Idioma spa
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A novel combination of experimental design and artificial neural networks as an analytical tool for improving performance in thermospray flame furnace atomic absorption spectrometry
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A novel combination of experimental design and artificial neural networks as an analytical tool for improving performance in thermospray flame furnace atomic absorption spectrometry
Morzan, Ezequiel et al · RI ITBA · 2018 · ISSN 0169-7439
"In this work, we present the combined effect of artificial neural networks (ANN) and experimental design as a suitable analytical tool for improving the performance of thermospray flame furnace atomic absorption spectro...
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Encryption and Compression Digital Video Files using Artificial Neural Networks and Genetic Algorithm
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Encryption and Compression Digital Video Files using Artificial Neural Networks and Genetic Algorithm
Hasan Anwer · University of Mosul, College of Education for Pure Science · 2019 · ISSN 1812-125X
The research and studies of encryption and compression of digital files to the confidentiality and ease of dealing with networks and the Internet, by reducing the size of files transmitted through multimedia, and also us...
LCC TENDOkVkdWNhdGlvbg~~; LCC:Science (General)Idioma eng
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Uso de redes neurais artificiais para predição de índices zootécnicos nas fases de gestação e maternidade na suinocultura Use of artificial neural networks on the prediction of zootechnical indexes on gestation and farrowing stages of swines
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Uso de redes neurais artificiais para predição de índices zootécnicos nas fases de gestação e maternidade na suinocultura Use of artificial neural networks on the prediction of zootechnical indexes on gestation and farrowing stages of swines
Héliton Pandorfi et al · Sociedade Brasileira de Zootecnia · 2011 · ISSN 1516-3598
Objetivou-se com este trabalho avaliar a precisão das redes neurais artificiais (RNA) na estimativa das redes neurais artificiais (RNA) na predição de índices zootécnicos, com base em variáveis térmicas e fisioló...
LCC LCC:Animal cultureIdioma eng
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Application of artificial neural networks for the prediction of aluminium agglomeration processes
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Application of artificial neural networks for the prediction of aluminium agglomeration processes
TEJASVI K et al · Embry-Riddle Aeronautical University · 2018 · ISSN 2374-6793
Aluminium is universal and vital constituent in composite propellants and typically used to improve performance. Aluminum agglomeration takes place on the burning surface of aluminized propellants, which leads to reduced...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma eng
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Una introducción al cómputo neuronal artificial
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Una introducción al cómputo neuronal artificial
Pérez Aguila, Ricardo · [El Cid Editor] · 2012 · ISBN 9781413524246
Materias / palabras clave: Neural networks (Computer science); Artificial intelligence; Redes neuronales (Informática); Inteligencia artificial
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Artificial Intelligence Techniques Evaluation for Modulation Format Identification in Optical Networks
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Artificial Intelligence Techniques Evaluation for Modulation Format Identification in Optical Networks
André Luiz Nunes de Souza et al · Sociedade Brasileira de Microondas e Optoeletrônica e Sociedade Brasileira de Eletromagnetismo · 2021 · ISSN 2179-1074
Abstract In an elastic network paradigm, where the transceiver is able to control several characteristics of the transmitted signal according to the optical link quality and capacity demand, receivers able to automatical...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Neural network learning with photonics and for photonic circuit design
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Neural network learning with photonics and for photonic circuit design
Brunner Daniel et al · Wiley · 2023 · ISSN 2192-8614
Materias / palabras clave: artificial neural networks; nanophotonics; neural network assisted photonic design; photonic neural networks
LCC TENDOlBoeXNpY3M~Idioma eng
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Neural network connectivity by optical broadcasting between III-V nanowires
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Neural network connectivity by optical broadcasting between III-V nanowires
Draguns Kristians et al · Wiley · 2025 · ISSN 2192-8614
Biological neural network functionality depends on the vast number of connections between nodes, which can be challenging to implement artificially. One radical solution is to replace physical wiring with broadcasting of...
LCC TENDOlBoeXNpY3M~Idioma eng
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Prediction of preterm and low birth weight risk using a physiology based artificial neural network integrating hematological, dental, and periodontal index markers: a cross sectional study based on machine learning
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Prediction of preterm and low birth weight risk using a physiology based artificial neural network integrating hematological, dental, and periodontal index markers: a cross sectional study based on machine learning
İsa Temur et al · BMC · 2026 · ISSN 1471-2393
Abstract Background Preterm low birth weight (PLBW) is a major global contributor to neonatal morbidity and mortality. This study aims to develop and evaluate a novel artificial neural network (ANN) based predictive mode...
LCC TENDOkd5bmVjb2xvZ3kgYW5kIG9ic3RldHJpY3M~Idioma eng
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A Conceptual Approach to Predicting Seismic Events and Flood Risks Using Convolutional Neural Networks
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A Conceptual Approach to Predicting Seismic Events and Flood Risks Using Convolutional Neural Networks
Mahmoud Rehan et al · MMU Press · 2025 · ISSN 2821-370X
This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...
LCC LCC:Electronic computers. Computer science; TENDOkluZm9ybWF0aW9uIHRlY2hub2xvZ3k~Idioma eng
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Portable real-time crop health assessment for diseases and nutrient issues with lightweight neural networks and RGB captures
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Portable real-time crop health assessment for diseases and nutrient issues with lightweight neural networks and RGB captures
Bikas Basnet et al · Elsevier · 2026 · ISSN 2772-3755
Biotic and abiotic stresses reduce crop yields, yet existing image‑based diagnostic models are often crop‑specific, computationally intensive, and poorly interpretable. This study present: (i) a multi-crop diagnostic...
LCC TENDOkFncmljdWx0dXJlIChHZW5lcmFsKQ~~; LCC:Agricultural industriesIdioma eng
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Thermal analysis of bioconvection flow of CNTs/water based hybrid nanofluid with gyrotactic microbes using artificial neural network
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Thermal analysis of bioconvection flow of CNTs/water based hybrid nanofluid with gyrotactic microbes using artificial neural network
Mohamed Bechir Ben Hamida et al · Springer · 2026 · ISSN 2731-9229
Abstract This study uses the Levenberg–Marquardt strategy with feed forward neural networks (LMS-FNN) to inspect the Soret-Dufour effect on radiative hybrid nanofluid flow across a Riga plate with gyrotactic microorgan...
LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng
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An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks
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An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks
B. Padmini Devi et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract In the world of the Internet of Things (IoT), wireless sensor networks (WSNs) play a vital role in enabling seamless communication between connected devices. In a WSN data prediction system based, clustering and...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng
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Thermal and solutal analysis of oxytactic microbes in bioconvection slip flow of trihybrid nanofluid with activation energy using artificial neural network
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Thermal and solutal analysis of oxytactic microbes in bioconvection slip flow of trihybrid nanofluid with activation energy using artificial neural network
Munawar Abbas et al · Springer · 2026 · ISSN 2731-9229
Abstract In this work, the intelligent Levenberg–Marquardt optimization approach is applied to evaluate the activation energy influence on thermo-bioconvection flow of a trihybrid nanofluid including oxytactic microbes...
LCC LCC:Materials of engineering and construction. Mechanics of materialsIdioma eng
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Evaluation of the effectiveness of Kolmogorov–Arnold networks for SSC prediction on the Mohawk River
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Evaluation of the effectiveness of Kolmogorov–Arnold networks for SSC prediction on the Mohawk River
Osman Tuğrul Baki · IOP Publishing · 2026 · ISSN 2515-7620
The prediction of suspended sediment concentration (SSC) is of critical importance for the management of aquatic ecosystems, flood control, and erosion assessments. However, the continuous measurement of SSC is technical...
LCC TENDOkVudmlyb25tZW50YWwgc2NpZW5jZXM~; TENDOk1ldGVvcm9sb2d5LiBDbGltYXRvbG9neQ~~Idioma eng
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End-to-end design of metasurface-based complex-amplitude holograms by physics-driven deep neural networks
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End-to-end design of metasurface-based complex-amplitude holograms by physics-driven deep neural networks
Wei Wei et al · Wiley · 2022 · ISSN 2192-8606
Holograms which reconstruct the transverse profile of light with complex-amplitude information have demonstrated more excellent performances with an improved signal-to-noise ratio compared with those containing amplitude...
LCC TENDOlBoeXNpY3M~Idioma eng
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Feature stabilization in convolutional neural networks using Proportional Integral Controller for lung nodule classification
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Feature stabilization in convolutional neural networks using Proportional Integral Controller for lung nodule classification
V. Sangeetha et al · Frontiers Media S.A · 2026 · ISSN 2624-8212
IntroductionReliable classification of lung nodules from computed tomography (CT) images remains a challenging problem due to variations in image intensity, noise, and unstable feature representations during deep network...
LCC LCC:Electronic computers. Computer scienceIdioma eng
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A diagnostic evaluation of neural networks trained with the error diffusion learning algorithm
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A diagnostic evaluation of neural networks trained with the error diffusion learning algorithm
Kazuhisa Fujita · Springer · 2026 · ISSN 2731-0809
Abstract The Error Diffusion Learning Algorithm (EDLA) is a learning scheme that performs synaptically local weight updates driven by a single, globally defined error signal. Although originally proposed as an alternativ...
LCC TENDOkNvbXB1dGF0aW9uYWwgbGluZ3Vpc3RpY3MuIE5hdHVyYWwgbGFuZ3VhZ2UgcHJvY2Vzc2luZw~~; LCC:Electronic computers. Computer sciIdioma eng
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Air passenger demand forecast through the use of Artificial Neural Network algorithms
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Air passenger demand forecast through the use of Artificial Neural Network algorithms
Juan Gerardo Muros Anguita et al · Embry-Riddle Aeronautical University · 2022 · ISSN 2374-6793
Airport planning depends to a large extent on the levels of activity that are anticipated. To plan the facilities and infrastructures of an airport system and to be able to satisfy future needs, it is essential to predic...
LCC LCC:Motor vehicles. Aeronautics. AstronauticsIdioma eng
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Efficient Deep Spiking Neural Network for Complex EEG Signals
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Efficient Deep Spiking Neural Network for Complex EEG Signals
Elham Amirizadeh et al · IEEE · 2026 · ISSN 2169-3536
Spiking neural networks (SNNs) offer a biologically inspired, energy-efficient alternative to conventional artificial neural networks (ANNs). However, deep SNNs struggle to process complex EEG signals because their spike...
LCC LCC:Electrical engineering. Electronics. Nuclear engineeringIdioma eng
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Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing
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Multi-Scale Convolutional Gated Recurrent Unit Networks for Tool Wear Prediction in Smart Manufacturing
Weixin Xu et al · KeAi Communications Co., Ltd · 2021 · ISSN 1000-9345
Abstract As an integrated application of modern information technologies and artificial intelligence, Prognostic and Health Management (PHM) is important for machine health monitoring. Prediction of tool wear is one of t...
LCC LCC:Ocean engineering; TENDOk1lY2hhbmljYWwgZW5naW5lZXJpbmcgYW5kIG1hY2hpbmVyeQ~~Idioma eng
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