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119 resultados encontrados.

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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
Artículo
Acceso abierto Artículo DOAJ
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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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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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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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
Artículo
Material complementario disponible Artículo DOAJ
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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Thermal analysis of bioconvection flow of CNTs/water based hybrid nanofluid with gyrotactic microbes using artificial neural network
Artículo
Acceso abierto Artículo DOAJ
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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Application of artificial neural network in modeling illumination distribution in three-dimensional space
Artículo
Material complementario disponible Artículo DOAJ
Application of artificial neural network in modeling illumination distribution in three-dimensional space
S. A. Rakutko et al · Federal Agricultural Research Center of the North-East named N.V. Rudnitsky · 2026 · ISSN 2072-9081
The paper deals with modeling three-dimensional illumination distribution from light sourсes using artificial neural network (ANN). This problem is especially relevant in greenhouse irradiation systems due to the design...
LCC LCC:AgricultureIdioma rus
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An artificial neural network‐based model to predict chronic kidney disease in aged cats
Artículo
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An artificial neural network‐based model to predict chronic kidney disease in aged cats
Vincent Biourge et al · Oxford University Press · 2020 · ISSN 0891-6640
Abstract Background Chronic kidney disease (CKD) frequently causes death in older cats; its early detection is challenging. Objectives To build a sensitive and specific model for early prediction of CKD in cats using art...
LCC TENDOlZldGVyaW5hcnkgbWVkaWNpbmU~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
Artículo
Acceso abierto Artículo DOAJ
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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A novel combination of experimental design and artificial neural networks as an analytical tool for improving performance in thermospray flame furnace atomic absorption spectrometry
Texto / recurso
Material complementario disponible Texto / recurso RI ITBA
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...
Idioma en
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Air passenger demand forecast through the use of Artificial Neural Network algorithms
Artículo
Acceso abierto Artículo DOAJ2 fuentes relacionadas
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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Application of artificial neural networks for the prediction of aluminium agglomeration processes
Artículo
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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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Encryption and Compression Digital Video Files using Artificial Neural Networks and Genetic Algorithm
Artículo
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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
Artículo
Acceso abierto Artículo DOAJ
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 Network for Analysis of Self-Excited Induction Generator
Artículo
Acceso abierto Artículo SEDICI UNLP
Application of Artificial Neural Network for Analysis of Self-Excited Induction Generator
Khela, Raja Singh et al · SEDICI UNLP · 2006
It is observed that conventional techniques to analyse the steady state analysis of Self-Excited Induction Generator (SEIG) involve cumbersome mathematical procedures. In this paper an Artificial Intelligence (AI) techni...
Idioma en
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Neural network and regression approaches for predicting bubble point pressure in oil reservoirs
Artículo
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Neural network and regression approaches for predicting bubble point pressure in oil reservoirs
E. M. Mansour et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract Petroleum engineers must accurately determine bubble point pressure (Pb) to optimize oil field development from discovery to abandonment. Errors in predicting this parameter can lead to inaccurate reservoir and ...
LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma 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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Artificial intelligence tools for AgNP-SSB-SN and AgNP-CSS-SN biosynthesis from Synechococcus PCC 11901 and Chlorella sorokiniana MSP1 for hazardous dyes remediation
Artículo
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Artificial intelligence tools for AgNP-SSB-SN and AgNP-CSS-SN biosynthesis from Synechococcus PCC 11901 and Chlorella sorokiniana MSP1 for hazardous dyes remediation
Deepali Tiwari et al · Nature Portfolio · 2026 · ISSN 2045-2322
Abstract In response to concerns of environmental pollution caused by hazardous dyes, remediating these dyes is a challenge. Herein, we developed a genetic algorithm-artificial neural network (GA-ANN) based optimization ...
LCC LCC:Medicine; TENDOlNjaWVuY2U~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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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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Uncertainty-aware sensor-adaptive ET0 prediction under sparse weather sensing via Bayesian-calibrated FAO-56 Penman–Monteith and a masked neural network
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Uncertainty-aware sensor-adaptive ET0 prediction under sparse weather sensing via Bayesian-calibrated FAO-56 Penman–Monteith and a masked neural network
Okacha Amraouy et al · Elsevier · 2026 · ISSN 2666-1543
Reliable estimation of reference evapotranspiration (ET0) is essential for irrigation scheduling and agricultural water-resources management. Although the FAO-56 Penman–Monteith equation is widely accepted as the stand...
LCC TENDOkFncmljdWx0dXJlIChHZW5lcmFsKQ~~; LCC:Nutrition. Foods and food supplyIdioma 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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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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