Distraction osteogenesis over intramedullary nail : a report of two cases by Sulaiman , Razak, Munajat, Ismail, Yaakub, Ismail, Awang, Mohd Shukrimi

“…The healing index was 19.5 days/cm and 14.8 days/cm respectively, compared favorably to 30 days/cm with traditional method of distraction osteogenesis. There were mild pin tract infections and joint stiffness which responded to non-operative treatment.…”
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Heuristics method for truck disassembly process by Yeoh, Kim Hao

“…The Delmia Quest simulation software was used to validate the model between actual disassembly line and proposed heuristic rule. The model proposed apply heuristic rule to create better results compared to actual disassembly line in terms of environmental focus and productivity improvement. …”
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Rock mass classification for predicting environmental impact of blasting on tropically weathered rock by Murlidhar, Bhatawdekar Ramesh

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Automatic fruits identification system using hybrid technique by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Shafie, Amir Akramin, Hazali, Norazlanshah, Termidzi, N.

“…In this work, a combination of artificial neural network (ANN), Fourier descriptors (FD) and spatial domain analysis (SDA) has been proposed for the development of an automatic fruits identification and sorting system. …”
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Prediction of cutting temperatures by using back propagation neural network modeling when cutting hardened H-13 steel in CNC end milling by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas, Suprianto, M.Y, Riza, Muhammad

“…The artificial neural network (ANN) was applied to predict the cutting temperature. …”
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Antioxidant and cytotoxic activities of Calophyllum rubiginosum by Alkhamaiseh, Suhaib Ibrahim, Bakhtiar, M. Taher, Ahmad, Farediah, Arief Ichwan, Solachuddin Jauhari, Darnis, Deny Susanti

“…The fractions were tested against lung cancer A-549 cell line to assess the anti-proliferation activity. …”
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Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy by Hossain, Mohammad Ishtiyaq, Amin, A. K. M. Nurul, Patwari, Anayet Ullah

“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed, and axial depth of cut. …”
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Intelligent air-cushion tracked vehicle performance investigation: neural-networks by Hossain, Altab, Rahman, Mohammed Ataur, Mohiuddin, A. K. M., Ramesh, Singh

“…Therefore, an Artifi cial Neural-Network (ANN) model is proposed to investigate the vehicle’s performance. …”
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Development of an artificial neural network model for the prediction of the chip serration frequency in end milling of medium carbon steel by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry, Ginta, Turnad Lenggo, Alam, S., Lajis, M. A.

“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed, and axial depth of cut. …”
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Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb by Jalaludin, Nor Anija, Shamsudin, Abu Ubaidah, Sidek, Shahrul Na'im, Aibinu, Abiodun Musa

“…The relationship between the EMG signals to the thumb-tip force is established by using Artificial Neural Network (ANN). A series of experiments have been conducted and preliminary results show the efficacy of ANN to capture the relationship model.…”
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Artificial neural network chip serration frequency model in end milling of medium carbon steel by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry

“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed and axial depth of cut. …”
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Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness by Remmani, Sid Ahmed, Madun, Aziman, Mohd Kamaruddin, Nurul Hidayah, Laghouiter, Oussama

“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Artificial intelligence based direct torque control of induction motor drive system by Alhamin, Sarinah Binti, Sim, Sy Yi, Chien, Siong Kai, Zambri, Nor Aira, Mustafa, Farahiyah, Alvin Lim, Meng Siang

“…This study proved that the performance and dynamics of the induction motor are enhanced using ANN controller as compared with PI controller.…”
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Comment on: Laparoscopic transperitoneal ureterolithotomy for large ureteric stone by Kamarulzaman, Mohd Nazli

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Future Internet Addressing (FI Address) by Pathan, Al-Sakib Khan

“…Ann innovative FI address scheme is discussed…”
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High-gain on-chip antenna design on silicon layer with aperture excitation for terahertz applications by Alibakhshikenari, Mohammad, Virdee, Bal Singh, Khalily, Mohsen, See, Chan, Abd-Alhameed, Raed, Falcone, Francisco, Denidni, Tayeb A., Limiti, Ernesto

“…An open ended microstrip line, which is orthogonal to the metal slot-line, is implemented on the underside of the silicon substrate. …”
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My youth and love... by Patton, Winifred

“…Typescript, the first line begins 'My youth and love...' The second line has been corrected in manuscript.…”
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Non-Arabic students’ reading preferences for e-learning programs by Zainuddin, Nurkhamimi

“…Combination of inappropriate screen line length with the wrong font type and size can slowdown reading and comprehension. …”
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Surface Electromyography (sEMG)-based thumb-tip angle and force estimation using artificial neural network for prosthetic thumb by Sidek, Shahrul Na'im, Jalaludin, Nor Anija, Shamsudin, Abu Ubaidah

“…The classification of the EMG signals based on different force and thumb configuration is performed by using Artificial Neural Network (ANN). A series of experiments have been conducted and preliminary results show the efficacy of ANN to classify the EMG signals.…”
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Development of Quran reciter identification system using MFCC and neural network by Asda, Tayseer Mohammed Hasan, Gunawan, Teddy Surya, Kartiwi, Mira, Mansor, Hasmah

“…Therefore, this paper is about the development of Quran reciter recognition and identification system based on mel frequency cepstral coefficient (MFCC) feature extraction and artificial neural network (ANN). From every speech, characteristics from the utterances will be extracted through neural network model. …”
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