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Supervised Learning Technique for First Order Multipaths Identification of V2V Scenario
Published 2023“…Our results showed that all the proposed classifiers provided an acceptable classification performance. The proposed ANN showed the best performance, whereas the NB was the worst. …”
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Supervised Learning Technique for First Order Multipaths Identification of V2V Scenario
Published 2023“…Our results showed that all the proposed classifiers provided an acceptable classification performance. The proposed ANN showed the best performance, whereas the NB was the worst. …”
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Speaker on " 5 characteristics of excellent Muslims women" (5 ciri wanita Islam cemerlang)
Published 2011Get full text
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Prediction the photovoltaic system performance via Artificial Neural Network (ANN) Technique
Published 2024“…To address this, this study proposes an artificial neural network (ANN) model designed to forecast the power output of both monocrystalline and polycrystalline photovoltaic (PV) panels. …”
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Prediction of crack growth propagation of a super alloy through ANN modeling
Published 2015“…Artificial Neural network (ANN) statistical model computed different fracture parameters from experimental inputs by feeding information to the network. …”
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Prediction the photovoltaic system performance via artificial neural network (ANN) technique
Published 2024“…To address this, this study proposes an artificial neural network (ANN) model designed to forecast the power output of both monocrystalline and polycrystalline photovoltaic (PV) panels. …”
Get full text
Conference or Workshop Item -
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Prediction the photovoltaic system performance via artificial neural network (ANN) technique
Published 2024“…To address this, this study proposes an artificial neural network (ANN) model designed to forecast the power output of both monocrystalline and polycrystalline photovoltaic (PV) panels. …”
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Conference or Workshop Item -
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ANN-based statistical downscaling of climate variables for rainfall prediction in Negeri Sembilan
Published 2024“…In this study, an ANN model was used to establish a predictive relationship between predictand variables and predictors.…”
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Comparison between ANN and multiple linear regression models for prediction of warranty cost
Published 2018“…This paper presents a methodology to adapt historical maintenance warranty data with comparison between Artificial Neural Network (ANN) and multiple linear regression approach.…”
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Stability assessment of 132kV Sabah grid-connected solar pV system
Published 2014“…Therefore in this project, system study will be carried out to determine the largest possible capacity of Photovoltaic (PV) solar power generation to be injected to the Northern Grid of SESB’s 132kV network.The system study was first carried out by injection of 25MW of solar PV plant and the result showed some violation in the transformer at 275/132kV Segaliud substation. …”
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Calcification of the alar ligament mimics fracture of the craniovertebral junction (CVJ): an incidental finding from computerised tomography of the cervical spine following trauma
Published 2009“…However, if further imaging and evaluation of the cervical spine with computerised tomography (CT) did not demonstrate an obvious fracture, then the possibility of ligament calcification would be considered. …”
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Group portrait of five men and a boy
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The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production
Published 2011“…ANN model was built using MATLAB software. A 20 dataset of an earlier published paper was used to developed ANN. …”
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A step towards the development of VHDL model for ANN based EMG signal classifier
Published 2012“…The artificial neural network (ANN) is an information processing model which is developed from the inspiration of practical biological nervous system. …”
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Proceeding Paper -
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Gene expression of AnnAt1 in different developmental stages of Arabidopsis thaliana exposed to Pb
Published 2012“…A recent study which uses 7-day-old seedlings discovers the participation of AnnAt1 to Pb. Since the expression of AnnAt1 may vary depending on tissue sources, developmental stages, length of exposure, and techniques used, a further experiment was conducted. …”
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Proceeding Paper -
60
Outlier treatments using interolation on Malaysia tourist arrival forecasting: SARIMA and ANN approaches
Published 2020“…On the other hand, ANN approach outperforms SARIMA approach on both data for before and after outlier treatment which are 6.05% and 2.52%.…”
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Thesis