Development of accident prediction model by using artificial neural network (ANN) by Ramli, Mohd Zakwan

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

Diagnosis of bivariate process variation using an integrated mspc-ann scheme by Masood, Ibrahim, Ali, Rasheed Majeed, Mohd Solihin, Nurul Adlihisam, Elewe, Adel Muhsin

“…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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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.…”
Get full text

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.…”
Get full text

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. …”
Get full text

Outlier treatments using interolation on Malaysia tourist arrival forecasting: SARIMA and ANN approaches by Wahir, Norsoraya Azurin

“…On the other hand, ANN approach outperforms SARIMA approach on both data for before and after outlier treatment which are 6.05% and 2.52%.…”
Get full text
Get full text
Get full text

Keystroke pressure based typing biometrics Authentication system by combining ANN and Anfis-based classifiers by Ali, Hasimah, Martono, Wahyudi, Salami, Momoh Jimoh Eyiomika

Get full text

Electromygraphy (EMG) signal based hand gesture recognition using Artificial Neural Network (ANN) by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…The purpose of this paper is to describe the process of detecting different predefined hand gestures (left, right, up and down) using artificial neural network (ANN). ANNs are particularly useful for complex pattern recognition and classification tasks. …”
Get full text

Hand motion detection from EMG signals by using ANN based classifier for human computer interaction by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…In this work, the detection of different hand movements (left, right, up and down) was obtained using artificial neural network (ANN). A back-propagation (BP) network with Levenberg-Marquardt training algorithm was utilized. …”
Get full text

Book review : Securing the sacred. Religion, national security, and the Western State by Robert Bosco, Ann Arbor by Haynes, Jeffrey

Classification of electroencephalogram (EEG) for lower limb movement of post stroke patients using artificial neural network (ANN) by A. Rahman, Khairul Azlan

“…Nowadays, many neurological conditions happen suddenly, such as stroke or spinal cord injury. This can cause chronic gait function impairment due to functional deficits in motor control. …”
Get full text
Get full text
Get full text

Study of multiple half blades effect on the performance of savonius rotor: Experimental study and artificial neural network (ANN) model by Al-Ghriybah, Mohanad, Çamur, Hüseyin, Zulkafli, Mohd Fadhli, Khan, Muhammad Abid, Kassem, Youssef, Esenel, Engin

“…Moreover, the measured data were predicted using Artificial Neural Network (ANN). Findings: The location of half blades effect the performance of the rotor. …”
Get full text

Enhancing Mechanical Characteristics of 6061-T6 with 5083-H111 Aluminum Alloy Dissimilar Weldments: A New Pin Tool Design for Friction Stir Welding (FSW) by Khalafe, Wazir Hassan, Sheng, Ewe Lay, Isa, Mohd Rashdan, Shamsudin, Shazarel

“…The experiment involved the welding of dissimilar aluminum alloys (AA5086-H111 to AA6061-T6) using a novel pin tool design with welding parameters such as holding time, pin tool length, tool spindle speed, and linear speed fine-tuned through a design of experiment (DOE) approach. …”
Get full text

Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging by M. Altharan, Yahya, Shamsudin, Shazarel, Lajis, Mohd Amri, Sami Al-Alimi, Sami Al-Alimi, Yusuf, Nur Kamilah Y, Mohammed Alduais, Nayef Abdulwahab, Atef M. Ghaleb, Atef M. Ghaleb, Wenbin Zhou, Wenbin Zhou

“…The experimental runs were designed using Full factorial and RSM via Minitab 21 software. RSM-ANN models were employed to examine the effect of factors and their interactions on response and to predict output, while GA-RSM and GA-ANN were used for optimization. …”
Get full text

Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging by M. Altharan, Yahya, Shamsudin, Shazarel, Lajis, Mohd Amri, Al-Alim, Sami, Yusuf, Nur Kamilah, Mohammed Alduais, Nayef Abdulwahab, M. Ghaleb, Atef, Zhou, Wenbin

“…The experimental runs were designed using Full factorial and RSM via Minitab 21 software. RSM-ANN models were employed to examine the effect of factors and their interactions on response and to predict output, while GA-RSM and GA-ANN were used for optimization. …”
Get full text

Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging by M. Altharan, Yahya, Shamsudin, Shazarel, Lajis, Mohd Amri, Al-Alimi, Sami, Yusuf, Nur Kamilah, M. Ghaleb, Atef, Zhou, Wenbin

“…The experimental runs were designed using Full factorial and RSM via Minitab 21 software. RSM-ANN models were employed to examine the effect of factors and their interactions on response and to predict output, while GA-RSM and GA-ANN were used for optimization. …”
Get full text

The potential of artificial neural network (ANN) in optimizing bioconversion process: in case of media constituents of citric acid production from palm oil Empty Fruit Bunches (EFB) 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. …”
Get full text