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

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Wireshark window authentication based packet captureing scheme to pervent DDoS related security issues in cloud network nodes by Waqar, Ali, Sang, Jun, Naeem, Hamad, Naeem, Rashid, Soomro, Ali Raza

“…As a result, the cloud node response is slow as usual and resource on cloud network becomes unavailable. Some Dos attacks are Ping of Death, Teardrop, Snork, Locking authentication, SYN flooding, Operating System Attacks etc. …”
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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. …”

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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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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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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Cancer classification from DNA microarray data using mRMR and artificial neural network by Akhand, M. A. H, Miah, Md. Asaduzzaman, Mir, Hussain Kabir, Rahman, M.M. Hafizur

“…This study considered information theoretic based minimum Redundancy Maximum Relevance (mRMR)method to select important genes and then employed artificial neural network (ANN) for cancer classification. Proposed mRMR-ANN method has been tested on a suite of benchmark data sets of various cancer. …”
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A neural network computer model of the hydrodynamical flow in the River Medway estuary at its confluence with the River Thames by Rees, Lyn Hugh

“…An artificial neural network (ANN) model for both depth and velocity with zero bottom friction was designed to use as a precursor to a full friction model. …”
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