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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Graphene based thin films for photocatalytic and optoelectronics applications by Jilani , Asim

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Comparison of intelligent approaches for cycle time prediction in injection moulding of a medical device product by Kariminejad, Mandana, Tormey, David, Huq, Saif, Morrison, Jim, McAfee, Marion

“…The relationship between the process input variables and the resulting cycle time is mapped with an artificial neural network (ANN) and an adaptive neuro-fuzzy system (ANFIS). …”
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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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Spiking neurons in 3D growing self-organising maps by Yusob, Bariah

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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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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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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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Development of coated peanut separator and frying skillet machine by Yusof, M Sallehuddin, Fadilullah, M Zul Nadzmi, Hassan, Suhaimi, Maksud, M Idris, Yunos, Muhamad Zaini

“…The groundnut is sticking and become like a ping pong size ball and the time consuming to fry is longer. …”
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Landslide susceptibility mapping in central zab basin using satellite data by Shahabi, Himan

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Damage intensity class for reinforced concrete beam-column joint subjected to lateral cyclic loading by Ganasan, Reventheran

“…In the AE analysis, the higher numbers of shear link provision had indicated that the development of the crack within the specimen is slower compared to other specimens and it does not fail at the maximum DR level. From the ANN results, the Support-Vector Machine (SVM) – dot with root mean square error (RMSE) index performance crack width prediction model has shown the lowest error between the experimental and predicted data up to 5% thus being selected among other prediction models. …”
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Intelligent air-cushion tracked vehicle performance investigation: neural-networks by Rahman, Mohammed Ataur, Hossain, Altab

“…Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. …”
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Low-energy structure of isotopes 152-156Sm by Rosly, Noora, Okhunov, Abdurahim, Abu Kassim, Hasan

“…It is found that the non – adiabaticity of rotational energy bands occurred at high spin due to the Coriolis effect. Few new states are predicted.…”
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Geospatial-based data and knowledge driven approaches for burglary crime susceptibility mapping in urban areas by Noor Azmy, Suzanna

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Design optimization for the two-stage bivariate pattern recognition scheme by Mokhtar, Mohd Shukri

“…In order to overcome this issue, many researches proposed an artificial neural network (ANN) - based pattern recognition schemes. Such schemes were mainly utilize raw data as input representation into an ANN recognizer, which resulted in limited performance. …”
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Improving modified cocomo ii artificial neural network using hyperbolic tangent activation function by Abdulaziz Al-Shalif, Sarah Abdulkarem

“…However, ANN contributes to slow convergence caused by sigmoid function. …”
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