Prediction the photovoltaic system performance via artificial neural network (ANN) technique by Jumaat, Siti Amely, Mohamed, Abdou Mani, Mohamad Nor, Ahmad Fateh

“…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 the photovoltaic system performance via artificial neural network (ANN) technique by Jumaat, Siti Amely, Mohamed, Abdou Mani, Mohamad Nor, Ahmad Fateh

“…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 the photovoltaic system performance via Artificial Neural Network (ANN) Technique by Jumaat, Siti Amely, Mohamed, Abdou Mani, Mohamad Nor, Ahmad Fateh

“…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 by Sudin, Vencent Kerun, Shazlyn Milleana Shaharudin, Shazlyn Milleana Shaharudin, Sulaiman, Nurul Ainina Filza, Zainuddin, Nurul Hila, Ismail, Saidatul Akmar, Hairulnizam Mahdin, Hairulnizam Mahdin

“…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 by Darmawan, Mohd Faaizie, Jamahir, NurIzzati, Saedudin, Rd. Rohmat, Kasim, Shahreen

“…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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Using affinity set on finding the key attributes of delayed diagnosis by Larbani, Moussa, Chen, Yuh-Wen, Chen, Chao-Wen, Shen, Chih-Min

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Adequacy of financial facilities for small business in Malaysia: preliminary findings by Abdullah, Moha Asri, A. Manan, Khadijah

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Develop an algorithm for goal finding robot using reinforcement learning by Kamal, MAS, Khan, Md. Raisuddin, Bazuhair, S., Billah, Md. Masum

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Recent finding on premature failure of commercial electric motor bearings by Sutjipto, Agus Geter Edy

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Internet usage and personality traits: finding relationship in learning institution by Ahlan, Abdul Rahman, Balogun, Naeem Atanda

“…Research limitations/implications – Limitation of this study is based on the generalisation of the finding that only involve learning institution. The finding of the study paves a way for other research that will involve other organisation. …”
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Qualitative findings on the use of mobile phones by Malaysian older people by Abd. Malik, Sofianiza, Azuddin, Muna

“…This paper reports on qualitative findings that have been obtained from a study about mobile phone usage by Malaysian older people. …”
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Work, family and women's well-being: selected research findings by Mohd Noor, Noraini

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Impact of ERP system on productivity improvement: some empirical findings by Zainol, Zaini, Abu Bakar , Zaitun

“…These companies have been using ERP based systems for a minimum three years. Our findings showed mixed results. Of the three indicators, the labour productivity indicator had shown positive contribution whereas the remaining two indicators i.e. competitiveness and capital productivity had resulted in negative feedback. …”
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Islam and democracy in Malaysia: findings from a national dialogue

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Finding the zeros of the ahlfors map for smooth multiply connected regions by Abdul Wahid, Nur Hazwani Aqilah

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Finding it sticky: ESJ and the foundation art, architecture and design course by Maier, Simone

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Finding common ground on the threshold: an experiment in critical urban learning by Cognetti, Francesca, De Carli, Beatrice

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The potential of artificial neural Ntwork (ANN) in optimizing media constituents of citric acid production by Nasaruddin, Ricca Rahman, Jami, Mohammed Saedi, Alam, Md. Zahangir

“…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 by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…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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Gene expression of AnnAt1 in different developmental stages of Arabidopsis thaliana exposed to Pb by Phang, Ing Chia, Wan Zakaria, Wan Nor Adibah, Leung, David W. M.

“…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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