Modelling and control of submerged membrane bioreactor filtration process using neural network model predictive control by Yusuf, Zakariah

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A review on lower appendicular musculoskeletal system of human body by Akhtaruzzaman, M., Shafie, Amir Akramin, Khan, Md. Raisuddin

“…Kajian ini memberi tumpuan kepada struktur otot appendicular bawah badan manusia untuk mewakili sendi dan menghubungkan seni bina; mengenal pasti lampiran otot dan fungsi; dan menggambarkan kumpulan otot yang bertanggungjawab untuk pergerakan sendi tertentu. …”
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Documenting its applications in quantity surveying research: a review by Bandi, Shamsul Hadi, Abdullah, Fadhlin

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Optimisation of co-culture fermentation of lactobacillus casei and propionibacterium jensenii in rice bran extract by Mohamed Esivan, Siti Marsilawati

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A review on short-term prediction of air pollutant concentrations by Raffee, Ahmad Fauzi, Rahmat, Siti Nazahiyah, Abdul Hamid, Hazrul, Jaffar, Muhammad Ismail

“…Hence, in order to predict the concentration of air pollutants that involves multiple parameters, both artificial neural network (ANN) and principal component regression (PCR) have been widely used, in comparison to classical multivariate time series. …”

Effect of solution treatment on high tempreature oxidation of Fe-33Ni-19Cr alloys Fe-40Ni-24Cr alloys. by Parimin, Noraziana

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Kehidupan manusia perlu ada sistem dan nilai by Baba, Sidek

“…Binaan ilmu (kurikulum) yang menepati konsep I mengambil pertimbangan integrasi Ilmu Mengurus Diri (Fardhu Ain) dan Ilmu Mengurus Sistem (Fardhu Kifayah). …”
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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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Alternative sweetener from curculigo fruits by Jalaluddin, Hazwan, Karim, Izz Qayyum, Mohammad Nor, Nurhanani, Senin, Zulkifli

“…Finally, the dried fruits were blended in order to get a fine powder. Curculin is a sweet protein with a taste-modifying activity of converting sourness to sweetness. …”
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Effect of river indus sand on concrete tensile strength by Lakhiar, Muhammad Tahir, Mohamad, Noridah, Shaikh, Muhammad Abu Bakar, Ahmed Vighio, Anees, Ahmed Jhatial, Ashfaque, Abdul Samad, Abdul Aziz

“…In the development of Pakistan construction industry, the utilization of River Indus sand in concrete as fine aggregate has expanded tremendously. The aim of this research is to study the effect of Indus River sand on the tensile strength of various grades of concrete when it is utilized as fine aggregate. …”
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Construction quality of school buildings using the Industrialised Building System (IBS) by Ali, Maisarah, Jaafar, Ab Nasir, Kamaruddin, Ibrahim, Abdul Rahman , Hamzah

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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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