Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

“…Compared to traditional computing methods, the artificial neural network (ANN) is robust and global. ANN has the characteristics of universal approximation, parallel distributed processing, hardware implementation, learning and adaptation, and multivariable systems. …”
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Modeling of fenton treatment for landfill leachate by response surface methodology, multiple linear regression and artificial neural network by Roudi, Anita Maslahati

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Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting by Isah, Nuhu

“…In view of this drawbacks of these three models (ANN, ARMA and HMM), we developed an efficient Hybrid Hidden Markov Model using fusion of ARMA Model and Artificial Neural Network for crude oil price forecasting, MATLAB was employed to develop the four models (Hybrid HMM, HMM, ARMA and ANN). …”
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EMG motion pattern classification through design and optimization of neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. …”
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Intelligent solar panel monitoring system and shading detection using artificial neural networks by M. Abdallah, Fahad Saleh, Abdullah, M.N., Musirin, Ismail, M. Elshamy, Ahmed

“…This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. …”
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The tribological behaviour of Fe-C-Al cast iron – effect of temperature by Maleque, Md. Abdul, Sugrib , S.

“…The wear and friction tests were conducted using universal pin-on-disk machine at 25 0C, 100 0C, 200 0C and 300 0C temperature. …”
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Low-loss paper-substrate triple-band-frequency reconfigurable microstrip antenna for sub-7 GHz applications by Singh, Ajit Kumar, Mahto, Santosh Kumar, Sinha, Rashmi, Alibakhshikenari, Mohammad, Al-Gburi, Ahmed Jamal Abdullah, Ahmad, Ashfaq, Kouhalvandi, Lida, Virdee, Bal Singh, Dalarsson, Mariana

“…In this paper, a low-cost resin-coated commercial-photo-paper substrate is used to design a printed reconfigurable multiband antenna. The two PIN diodes are used mainly to redistribute the surface current that provides reconfigurable properties to the proposed antenna. …”
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Future reservoir performance projection using integrated models in the framework of climate change by Hamidon, Nuramidah

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Estimation of monsoon rainfall by single polarization weather radar by Roslan, Nurulhani

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Data-driven modelling and optimization of palm oil refining process by Sulaiman, Nurul Sulaiha

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Forecasting of groundwater level using artificial neural network by incorporating river recharge and river bank infiltration by Shamsuddin, Mohd Khairul Nizar, Mohd Kusin, Faradiella, Sulaiman, Wan Nor Azmin, Ramli, Mohammad Firuz, Tajul Baharuddin, Mohamad Faizal, Adnan, Mohd Shalahuddin

“…ANN model was used in this study is based on the long period forecasting of daily groundwater tables. …”
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A note on Chinese stock market efficiency: fresh evidence from non-linear unit root test by Abdul Manap, Turkhan Ali

“…This paper reexamines the efficiency Chinese stock market for the period December 1990 to February 2010 by extending recent work of Qian et al (2008)2 using the nonlinear unit root test developed by Kapetanios, Shin and Snell (2003)3 and Kruse (2010)4. In doing so, the nonlinearity test of Harvey, Leybourne, and Xiao (2008)5 is used to have an insight into the best specification of the model. …”
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Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes by Aizon, Nabila Huda

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Dynamic load forecasting for commercial power network by Alzalet, Abdusalam Rajb

“…When the approaches are compared according to their highest prediction error, the highest error for linear regression and Polynomial equation approaches are very high compared to the ANN approach. Generally the ANN approach has produced better results.…”
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Baik buruk nikah di Thailand by Abd Rahman, Saodah

“…Persoalannya, kenapa lelaki dan wanita Islam di Malaysia perlu membelanjakan wang yang banyak untuk berkahwin di selatan Thailand sedangkan di Malaysia proses perkahwinan di pejabat kadi lebih tersusun dan terjamin?…”
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Computational intelligence techniques for hand gesture recognition by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

“…ANN and its variation such as have be<:n used for SL geslure recognition in any forms as in [4]_ Two noticed research work for gesltlre recognilion using ANN where 3D Hopfield NN [5] and Time-Delay NN (TDNN) has been developed by [6]. …”
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Prediction of fracture dip using artificial neural networks by Alizadeh, Mostafa

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Predictive models in near-infrared spectroscopic analysis for blood hemoglobin prediction by Mohd Idrus, Mohd Nazrul Effendy

“…The aims of this study is to investigate the accuracy of linear partial least square (PLS), nonlinear artificial neural network (ANN), and hybrid partial least square - artificial neural network (PLS-ANN) predictive modelling in NIRS analysis. …”
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Statistical process control in stamping process using pattern recognition approach by Abdul Rahman, Norasulaini

“…In this study, a new CCPR framework by using statistical features ANN recogniser with real SPC samples as the training control chart patterns was investigated. …”
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Surface roughness modeling for CNC end milling using artificial neural network by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas

“…The artificial neural network (ANN) was applied to simulate and study the effect of high cutting speed on the surface roughness.…”
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