Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

Get full text

Modeling of fenton treatment for landfill leachate by response surface methodology, multiple linear regression and artificial neural network by Roudi, Anita Maslahati

Get full text

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). …”
Get full text
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

Future reservoir performance projection using integrated models in the framework of climate change by Hamidon, Nuramidah

Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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). …”
Get full text

A modified savonius turbine with moveable blades for higher efficiency by Abbasabadi, Reza Hassanzadeh

Get full text

Appraisal and performance prediction of Senai-Desaru expressway cable-stayed bridge subject to earthquakes by Aizon, Nabila Huda

Get full text

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.…”
Get full text
Get full text
Get full text

A new viscoelastic damper for seismic protection of steel building frame by Mansour, Farnoud Rahimi

Get full text

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]. …”
Get full text

Prediction of fracture dip using artificial neural networks by Alizadeh, Mostafa

Get full text

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. …”
Get full text
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

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.…”
Get full text
Get full text
Get full text

Geospatial-based data and knowledge driven approaches for burglary crime susceptibility mapping in urban areas by Noor Azmy, Suzanna

Get full text