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Finding logical vulnerability in policies using three-level semantic framework
Published 2024“…Our objective is to model the domain and find such vulnerabilities. Our proposed framework has three levels. …”
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22
Development of accident prediction model by using artificial neural network (ANN)
Published 2011“…The study process involves the identification of accident blackspot locations, establishment of general patterns of accident, analysis of the factors involved, site studies, and development of accident prediction model using Artificial Neural Network (ANN) applied software which named NeuroShell2. …”
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23
Diagnosis of bivariate process variation using an integrated mspc-ann scheme
Published 2016“…Design considerations involved extensive simulation experiments to select input representation based on raw data and statistical features, recognizer design structure based on individual and Statistical Features-ANN models, and monitoring-diagnosis approach based on single stage and two stages techniques. …”
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Closing the loop on educational research : using findings to improve the student experience
Published 2003“…But it is still in a state of suspended animation, as an unfulfilled ambition - for unless its findings are applied to the students' experience and the results monitored, it has not fulfilled its purpose. …”
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Community Aware Recommendation System with Explicit and Implicit Link Prediction
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26
Training functional link neural network with ant lion optimizer
Published 2020“…Functional Link Neural Network (FLNN) has becoming as an important tool used in machine learning due to its modest architecture. …”
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27
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 -
28
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 -
29
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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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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An efficient up-link load reduction model based on clustering in vanets
Published 2019“…This study proposed an Efficient Up-link Load Reduction (EULR) model to mitigate the uplink load at BSs. …”
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34
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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35
Incorporating research findings in the economics syllabus: evidence on genuine sociality from Italy and the UK
Published 2017“…We attempt to measure how keen students are to incorporate research findings in the syllabus by developing a questionnaire which introduces undergraduate students in Italy and the U.K. to key findings in the research literature on genuine sociality, an area in which the methodological divide is very noticeable. …”
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Modeling and performance evaluation of free space optical link for ground-to-train communications
Published 2019“…G2T-FSO links feature base stations located beside the track to provide a LOS link for traveling trains. …”
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38
A functional link neural network with modified cuckoo search for prediction tasks
Published 2017“…Thus, this research proposed an implementation of Functional Link Neural Network (FLNN) which composed of a single layer of tunable weight trained with the Modified Cuckoo Search algorithm (MCS). …”
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39
Comparative study on data searching in linked list & B-tree and B+tree techniques
Published 2015“…There are many methods of searching large amount of data to find one particular piece of information. Such as finding the name of a person in a mobile phone record. …”
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40
Preliminary qualitative findings: challenges in large infrastructure projects towards development of innovative performance measurement
Published 2015“…Owing to this limitation, preliminary findings of identifying the challenges in large infrastructure projects are vital to fulfill the current needs in the development of innovative performance measurement. …”
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