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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Calcification of the alar ligament mimics fracture of the craniovertebral junction (CVJ): an incidental finding from computerised tomography of the cervical spine following trauma by Che Mohamed, Siti Kamariah, Abd. Aziz, Azian

“…However, if further imaging and evaluation of the cervical spine with computerised tomography (CT) did not demonstrate an obvious fracture, then the possibility of ligament calcification would be considered. …”
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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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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%.…”
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Keystroke pressure based typing biometrics Authentication system by combining ANN and Anfis-based classifiers by Ali, Hasimah, Martono, Wahyudi, Salami, Momoh Jimoh Eyiomika

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

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

“…ANN model was built using MATLAB software. A dataset consists of 20 runs from our previous work was used to develop ANN. …”
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Classification of electroencephalogram (EEG) for lower limb movement of post stroke patients using artificial neural network (ANN) by A. Rahman, Khairul Azlan

“…So the results proved that the ANN model developed was able to classify the post-stroke severity. …”
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Prediction of base pressure in a suddenly expanded flow process at supersonic mach number regimes using ANN and CFD by Quadros, Jaimon Dennis, Khan, Sher Afghan

“…The artificial neural network (ANN) approach is being utilized for this purpose. …”
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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. …”
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Prediction of optimal adsorption of aqueous phenol removal with oil palm empty fruit bunch activated carbon using Artificial Neural Network (ANN) by Muyibi, Suleyman Aremu, Olanrewaju, Rashidah Funke

“…The Regression and correlation between of optimal adsorption capacity for experimental result and ANN estimation model is 0.9999 of 1.000. This high Correlation of coefficient indicates that the ANN model is a perfect match. …”
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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. …”
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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. …”
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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. …”
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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. …”
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The English wing spinet of the 17th and 18th centuries: with special reference to the extant Haward spinets indtroducing newly discovered evidence for Samuel Pepys' Haward spinet and Queen Anne's Haward spinet by Wilson, Charles West

“…Newly discovered information about Queen Anne's Haward spinet is introduced. It is shown to have been a spinet, and not a virginal. …”
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