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Listar por palabra clave "Artificial neural network"

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A Step Forward to the Characterization of Secondary Effuents to Predict Membrane Fouling in a Subsequent Ultrafiltration

Anderson-Alejandro Benites-Zelaya; Soler Cabezas, José Luis; Ferrer-Polonio, Eva; Mendoza Roca, José Antonio; Vincent Vela, Maria Cinta (MDPI AG, 2020-07)

[EN] Nowadays, wastewater reuse in Mediterranean countries is necessary to cover the water demand. This contributes to the protection of the environment and encourages the circular economy. Due to increasingly strict ...
A wireless Sensor Network that use Image Processing for Vineyard Monitoring

Lloret, Jaime; Bosch Roig, Ignacio; Sendra Compte, Sandra; Serrano Cartagena, Arturo (MDPI, 2011)

The first step to detect when a vineyard has any type of deficiency, pest or disease is to observe its stems, its grapes and/or its leaves. To place a sensor in each leaf of every vineyard is obviously not feasible in terms ...
Application of Artificial Neural Network for Reducing Random Coincidences in PET

Oliver, J,F.; Fuster García, Elíes; Cabello, J.; Tortajada Velert, Salvador; Rafecas Lopez, Maria Magdalena (Institute of Electrical and Electronics Engineers (IEEE), 2013-10)

Positron Emission Tomography (PET) is based on the detection in coincidence of the two photons created in a positron annihilation. In conventional PET, this coincidence identification is usually carried out through a ...
Application of artificial neural networks for versatile preprocessing of electrocardiogram recordings

Mateo, Jorge; Rieta Ibañez, José Joaquín (Informa Healthcare, 2012-02)

[EN] The electrocardiogram (ECG) is the most widely used method for diagnosis of heart diseases, where a good quality of recordings allows the proper interpretation and identification of physiological and pathological ...
Artificial neural network and Kriging surrogate model for embodied energy optimization of prestressed slab bridges

Yepes-Bellver, Lorena; Brun-Izquierdo, Alejandro; Alcalá-González, Julián; Yepes, V. (MDPI AG, 2024-10)

[EN] The main objective of this study is to assess and contrast the efficacy of distinct spatial prediction methods in a simulation aimed at optimizing the embodied energy during the construction of prestressed slab bridge ...
Artificial neural network based detection of energy exhaustion attacks in wireless sensor networks capable of energy harvesting

Alrajeh, Nabil Ali; Khan, Shafiullah; Lloret, Jaime; Loo, Jonathan (Old City Publishing, 2014)

[EN] Energy consumption is the important factor when designing any mechanism for wireless sensor network (WSN). Research community is trying to enable energy harvesting mechanisms to provide long term energy source to WSN. ...
Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems

Hernandez, Luis; Baladron, Carlos; Aguiar, Javier M.; Calavia, Lorena; Carro, Belen; Sanchez-Esguevillas, Antonio; Perez, Francisco; Fernandez, Angel; Lloret Mauri, Jaime (MDPI, 2014-03)

The new paradigms and latest developments in the Electrical Grid are based on the introduction of distributed intelligence at several stages of its physical layer, giving birth to concepts such as Smart Grids, Virtual Power ...
Artificial neural network onto eight bit microcontroller for Secchi depth calculation

Ibáñez Civera, Francisco Javier; García Breijo, Eduardo; Laguarda Miró, Nicolás; Gil Sánchez, Luís; Garrigues Baixauli, José; Romero Gil, Inmaculada; Masot Peris, Rafael; Alcañiz Fillol, Miguel (Elsevier, 2011-08-10)

In this paper we present a model to predict Secchi depth in water bodies by means of an artificial neural network application onto eight bit microcontroller. Water turbidity data were collected by both a Secchi disk and a ...
Artificial Neural Networks for Short-Term Load Forecasting in Microgrids Environment Energy

Hernandez, Luis; Baladron, Carlos; Aguiar, Javier M.; Carro, Belen; Sanchez-Esguevillas, Antonio; Lloret, Jaime (Elsevier, 2014-10-01)

The adaptation of energy production to demand has been traditionally very important for utilities in order to optimize resource consumption. This is especially true also in microgrids where many intelligent elements have ...
Artificial Neural Networks to Optimize Oil-in-Water Emulsion Stability with Orange By-Products

Umaña, Mónica; Llull, Laura; Bon Corbín, José; Eim, Valeria Soledad; Simal, Susana (MDPI AG, 2022-12)

[EN] The use of artificial neural networks (ANNs) is proposed to optimize the formulation of stable oil-in-water emulsions (oil 6% w/w) with a flour made from orange by-products (OBF), rich in pectins (21 g/100 g fresh ...
Biokinetic and Artificial Intelligence Models for the Simulation of Nitrous Oxide Emissions from Wastewater Treatment Plants

Seshan, Siddharth; Poinapen, Johann; van Lier, Jules; Kapelan, Zoran (Editorial Universitat Politècnica de València, 2024-03-06)

[EN] Nitrous oxide (N2O) is considered a potent and very harmful greenhouse gas (GHG), and wastewater treatment plants (WWTPs) are considered a potent source of it. Predicting N2O emissions is a first step in reducing ...
Cartografiado de usos del suelo en la provincia de Valencia mediante el procesado de series temporales de imágenes Sentinel en Google Earth Engine

Posada Fandiño, Heidy Bibiana (Universitat Politècnica de València, 2021-01-04)

[ES] Este trabajo es una propuesta metodológica que utiliza la teledetección para el control de la superficie de cultivos a partir del análisis de información de imágenes Sentinel 2 Nivel 2A, adquiridas desde la colección ...
Clasificación de uso y cobertura del suelo a través de algoritmos de aprendizaje automático: revisión bibliográfica

Tobar-Díaz, René; Gao, Yan; Mas, Jean François; Cambrón-Sandoval, Víctor Hugo (Universitat Politècnica de València, 2023-07-28)

[EN] Methodologies for land use and land cover (LULC) classification have demonstrated significant advances in recent years, such as the incorporation of machine learning (ML) classification techniques, which have gained ...
Detección precoz de cáncer de vejiga mediante medición de orina con lengua electrónica

Monreal Trigo, Javier (Universitat Politècnica de València, 2019-10-28)

[ES] Los métodos actuales de detección temprana de cáncer de vejiga presentan baja sensibilidad para la detección de tumores de bajo grado, son invasivos, de coste elevado y operador dependientes. En este proyecto se ...
Diseño automatizado de vigas rectangulares, basado en criterios de economía y durabilidad frente al ataque por cloruros

Clemente García, Eduardo (Universitat Politècnica de València, 2016-05-03)

[EN] Prediction of Chloride diffusion data by an artificial neural network and optimization of a rectangular beam using heuristic algorithms to achieve minimum cost and high service life.
Diseño de un sistema de control para reactores químicos utilizando técnicas de aprendizaje automático

Aura Camarena, Francisco (Universitat Politècnica de València, 2020-05-06)

[ES] El control de temperaturas, presiones y caudales es crítico para asegurar que las reacciones químicas progresan y son completadas según lo planificado. Actualmente, utilizar controladores PID es el estándar industrial ...
Drone RGB Images as a Reliable Information Source to Determine Legumes Establishment Success

Parra-Boronat, Lorena; Mostaza-Colado, David; Yousfi, Salima; Marin, Jose F.; Mauri, Pedro V.; Lloret, Jaime (MDPI AG, 2021-09)

[EN] The use of drones in agriculture is becoming a valuable tool for crop monitoring. There are some critical moments for crop success; the establishment is one of those. In this paper, we present an initial approximation ...
Glyphosate detection by voltammetric techniques. A comparison between statistical methods and an artificial neural network

Laguarda-Miro, Nicolas; Werner Ferreira, Francesca; Garcia-Breijo, Eduardo; Ibáñez Civera, Francisco Javier; Gil Sánchez, Luís; Garrigues Baixauli, José (Elsevier, 2012-09)

Glyphosate quantification methods are complex and expensive, and its control in natural water bodies is getting more important year after year. In order to find a new system that facilitates the detection of glyphosate, ...
Hybrid solar-gas-electric dryer optimization with genetic algorithms

El Ferouali, H.; Gharafi, M.; Zoukit, A.; Doubabi, S.; Abdenouri, Naji (Editorial Universitat Politècnica de València, 2018-09-07)

[EN] To promote the hybrid solar dryers for use even under unfavorable weather and to overcome the intermittance state issue, the energy consumption should be optimized and the response time should be reduced. This work ...
Investigating the influence of habitat structure and hydraulics on tropical macroinvertebrate communities

Muñoz Mas, Rafael; Sánchez-Hernández, Javier; McClain, Michael; Tamatamah, Rashid; Mukama, Shelard Chilemeji; Martinez-Capel, Francisco (Elsevier, 2019)

[EN] The influences of habitat structure and hydraulics on tropical macroinvertebrate communities were investigated in two foothill rivers of the Udzungwa Mountains (United Republic of Tanzania) to assist future Environmental ...