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   Articles with "ann" as a keyword



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Performance enhancement and ANN prediction of R600a vapour compression refrigeration system using CuO/Sio2 hybrid nanolubricants: an energy conservation approach

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recommendations! Published in 2022 at "Neural Computing and Applications"

DOI: 10.1007/s00521-021-06681-5

Abstract: In this study improvement in performance of vapour compression refrigeration using R600a as refrigerant is enhanced by using CuO/Sio 2 hybrid nanolubricants. The experiment was performed with four various nanolubricants concentration of 0.2, 0.4, 0.6… read more here.

Keywords: refrigeration; hybrid nanolubricants; vapour compression; performance ... See more keywords
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A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran

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recommendations! Published in 2018 at "Theoretical and Applied Climatology"

DOI: 10.1007/s00704-018-2666-3

Abstract: The present study generally aims to provide a comparison between the performance and suitability of different types of models for estimation of daily global solar radiation in Iran, based on duration of sunshine hours and… read more here.

Keywords: global solar; daily global; solar radiation; estimation daily ... See more keywords
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Emotional ANN (EANN) and Wavelet-ANN (WANN) Approaches for Markovian and Seasonal Based Modeling of Rainfall-Runoff Process

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recommendations! Published in 2018 at "Water Resources Management"

DOI: 10.1007/s11269-018-2000-y

Abstract: The hydrological time series have three principle components (autoregressive, seasonality and trend) and the performance of the models is strongly related to the nature of these components. The current research examines the accuracy of two… read more here.

Keywords: wavelet ann; rainfall runoff; ann wann; ann ... See more keywords
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Diagnostic performance of a computer-assisted diagnostic system: sensitivity of BONENAVI for bone scintigraphy in patients with disseminated skeletal metastasis is not so high

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recommendations! Published in 2020 at "Annals of Nuclear Medicine"

DOI: 10.1007/s12149-020-01435-0

Abstract: Purpose Bone scintigraphy (BS) of disseminated skeletal metastasis is sometimes misinterpreted as normal. The use of computer-assisted diagnosis (CAD) may resolve this problem. We investigated the performance of a CAD system, BONENAVI, in the diagnosis… read more here.

Keywords: system; skeletal metastasis; disseminated skeletal; bone ... See more keywords
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Comparison of SI-ANN and Extended Kalman Filter-Based Sensorless Speed Controls of a DC Motor

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recommendations! Published in 2020 at "Arabian Journal for Science and Engineering"

DOI: 10.1007/s13369-020-05014-3

Abstract: In this study, a speed sensorless algorithm was developed to control a single-link manipulator connected to DC motor. The armature voltage value can be obtained by using duty cycle information generated by the controller without… read more here.

Keywords: kalman filter; speed; motor; ann ... See more keywords
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Predicting of daily Khazir basin flow using SWAT and hybrid SWAT-ANN models

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recommendations! Published in 2020 at "Ain Shams Engineering Journal"

DOI: 10.1016/j.asej.2019.10.011

Abstract: Abstract Soil and Water Assessment Tool (SWAT) and Artificial Neural Network (ANN) models have been successfully used in streamflow forecasting problems. In this research SWAT model and developed model called (hybrid SWAT-ANN) were applied for… read more here.

Keywords: hybrid swat; ann models; model; ann ... See more keywords
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Time-frequency analysis and simulation of the watershed suspended sediment concentration based on the Hilbert-Huang transform (HHT) and artificial neural network (ANN) methods: A case study in the Loess Plateau of China

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recommendations! Published in 2019 at "CATENA"

DOI: 10.1016/j.catena.2019.03.042

Abstract: Abstract Suspended sediment concentration (SSC) time series are highly nonlinear and nonstationary due to numerous influencing factors that can be characterized by specific time scales, thereby increasing the difficulty of performing SSC simulations. Analyzing the… read more here.

Keywords: time; mlr; runoff; ann ... See more keywords
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Analysis of influencing factors of the production performance of an enhanced geothermal system (EGS) with numerical simulation and artificial neural network (ANN)

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recommendations! Published in 2019 at "Energy and Buildings"

DOI: 10.1016/j.enbuild.2019.07.045

Abstract: Abstract Understanding the sensitivity to different reservoir parameters can help optimize the use of a designated reservoir. Four key parameters, namely, fracture permeability, well spacing, injection temperature, and injection rate, are considered in this study.… read more here.

Keywords: numerical simulation; injection; production; temperature ... See more keywords
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Pectin extraction from Helianthus annuus (sunflower) heads using RSM and ANN modelling by a genetic algorithm approach.

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recommendations! Published in 2019 at "International journal of biological macromolecules"

DOI: 10.1016/j.ijbiomac.2018.11.036

Abstract: In this work, Response Surface Methodology (RSM) and Artificial Neural Network coupled with genetic algorithm (ANN-GA) have been used to develop a model and optimise the conditions for the extraction of pectin from sunflower heads.… read more here.

Keywords: sunflower heads; genetic algorithm; pectin extraction; ann ... See more keywords
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Prediction of CO2 loading capacities of aqueous solutions ofabsorbents using different computational schemes

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recommendations! Published in 2017 at "International Journal of Greenhouse Gas Control"

DOI: 10.1016/j.ijggc.2016.12.010

Abstract: Abstract In this communication, carbon dioxide solubility in aqueous solutions of various absorbents (2-amino-2-hydroxymethyl-1,3-propanediol; 2-amino-2-methyl-1-propanol; 2-amino-2-methyl-1,3-propanediol; potassium chloride; monoethanolamine; methyldiethanolamine; 2-piperidineethanol; potassium glycinate; piperazine; sodium glycinate; triethanolamine; potassium carbonate; diethanolamine) is predicted through four different… read more here.

Keywords: rbf ann; lssvm model; aqueous solutions; prediction co2 ... See more keywords
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Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components

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recommendations! Published in 2021 at "Journal of Cleaner Production"

DOI: 10.1016/j.jclepro.2021.128039

Abstract: Abstract Solid Waste (SW) is one of the critical challenges of urban life. These SWs are considered environmental pollutants that are a threat to ecology and human health. Predicting SW generation is an essential topic… read more here.

Keywords: ann aoa; ann models; solid waste; model ... See more keywords