Recent Application of Artificial Neural Network in Microwave Drying of Foods: A mini-review.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the science of food and agriculture"
DOI: 10.1002/jsfa.12008
Abstract: The microwave-assisted thermal process is a high-efficiency drying method and is promising to be applied in the food industry. However, the prediction of the thermal treatment results from such a dynamic and complicated process can… read more here.
Keywords: neural network; ann models; microwave drying; artificial neural ... See more keywords
A comparison between the application of empirical and ANN methods for estimation of daily global solar radiation in Iran
Sign Up to like & getrecommendations! 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
Predicting of daily Khazir basin flow using SWAT and hybrid SWAT-ANN models
Sign Up to like & getrecommendations! 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
Predicting municipal solid waste using a coupled artificial neural network with archimedes optimisation algorithm and socioeconomic components
Sign Up to like & getrecommendations! 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
Seasonally varying effects of environmental factors on phytoplankton abundance in the regulated rivers
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-45621-1
Abstract: This study investigates a seasonally varying response of phytoplankton biomass to environmental factors in rivers. Artificial neural network (ANN) models incorporated with a clustering technique, the clustered ANN models, were employed to analyze the relationship… read more here.
Keywords: phytoplankton abundance; environmental factors; factors phytoplankton; ann models ... See more keywords
Mapping earthquake-triggered landslide susceptibility by use of artificial neural network (ANN) models: an example of the 2013 Minxian (China) Mw 5.9 event
Sign Up to like & getrecommendations! Published in 2018 at "Geomatics, Natural Hazards and Risk"
DOI: 10.1080/19475705.2018.1487471
Abstract: Abstract A landslide susceptibility map, which describes the quantitative relationship between known landslides and control factors, is essential to link the theoretical prediction with practical disaster reduction measures. In this work, the artificial neural network… read more here.
Keywords: susceptibility; ann models; model; landslide susceptibility ... See more keywords
MCDM towards knowledge incorporation in ANN models for phase transformation in continuous cooling of steel
Sign Up to like & getrecommendations! Published in 2019 at "Multidiscipline Modeling in Materials and Structures"
DOI: 10.1108/mmms-01-2018-0002
Abstract: Purpose The purpose of this paper is to incorporate prior knowledge in the artificial neural network (ANN) model for the prediction of continuous cooling transformation (CCT) diagram of steel, so that the model predictions become… read more here.
Keywords: steel; objective optimization; ann models; prediction ... See more keywords
An Augmented Reality Question Answering System Based on Ensemble Neural Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Access"
DOI: 10.1109/access.2017.2743746
Abstract: This paper proposes a classification algorithm based on ensemble neural networks. In the training phase, the proposed algorithm uses a random number of training data to develop multiple random artificial neural network (ANN) models until… read more here.
Keywords: ensemble neural; neural networks; reality question; augmented reality ... See more keywords
Predicting the Weathering Time by the Empty Puparium of Sarcophaga peregrina (Diptera: Sarcophagidae) with the ANN Models
Sign Up to like & getrecommendations! Published in 2022 at "Insects"
DOI: 10.3390/insects13090808
Abstract: Simple Summary The weathering time of cuticular hydrocarbons from the puparium could assist in estimating the postmortem interval (PMI) of decomposed corpses. However, the composition of cuticular hydrocarbons in the puparium is complicated and has… read more here.
Keywords: ann models; time; sarcophaga peregrina; weathering time ... See more keywords