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Frequency reconfiguration mechanism of a PIN diode on a reconfigurable antenna for LTE and WLAN Applications
Published 2018“…In this work, a frequency reconfigurable antenna with a BAR63-02V Positive-Intrinsic-Negative (PIN) diode is designed, simulated and fabricated. …”
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Exploration to find green building materials from recycled solid wastes
Published 2018Get full text
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Enhancing Quranic and fardhu ain programmes through hybrid learning among orphans at Rumah Amal Baitul Kasih, Rawang
Published 2016“…The researchers chose to teach Quranic recital and Fardhu Ain since the skills could help to make them a better person. …”
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Performance analysis of ANN based YCbCr skin detection algorithm
Published 2012Get full text
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ANN modeling of nickel base super alloys for time dependent deformation
Published 2014“…Artificial neural network (ANN) was applied to predict the creep rate and the anelastic elongation for the two alloys. …”
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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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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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Artificial neural network implementation on firearm recognition system with respect to ring firing pin impression image
Published 2011“…Firearms identification is a vital aim of firearm analysis. The firing pin impression image on a cartridge case from a fired bullet is one of the most significant clues in firearms identification. …”
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İslam Birliği: Orta yolu bulmak (Islamic Unity: To find the Middle Way)
Published 2011Get full text
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Administrative corruption and good governance in Iraq: finding and analysis
Published 2015“…This article discusses the relationship between good governance and the administrative corruption. It outlines the findings and results that have been done among public servants. …”
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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. …”
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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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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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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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Conference or Workshop Item -
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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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Article