Computational intelligence techniques for hand gesture recognition by Bilal, Sara Mohammed Osman Saleh, Akmeliawati, Rini

“…ANN and its variation such as have be<:n used for SL geslure recognition in any forms as in [4]_ Two noticed research work for gesltlre recognilion using ANN where 3D Hopfield NN [5] and Time-Delay NN (TDNN) has been developed by [6]. …”
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Prediction of fracture dip using artificial neural networks by Alizadeh, Mostafa

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Predictive models in near-infrared spectroscopic analysis for blood hemoglobin prediction by Mohd Idrus, Mohd Nazrul Effendy

“…The aims of this study is to investigate the accuracy of linear partial least square (PLS), nonlinear artificial neural network (ANN), and hybrid partial least square - artificial neural network (PLS-ANN) predictive modelling in NIRS analysis. …”
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Statistical process control in stamping process using pattern recognition approach by Abdul Rahman, Norasulaini

“…In this study, a new CCPR framework by using statistical features ANN recogniser with real SPC samples as the training control chart patterns was investigated. …”
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Surface roughness modeling for CNC end milling using artificial neural network by Al Hazza, Muataz Hazza Faizi, Adesta, Erry Yulian Triblas

“…The artificial neural network (ANN) was applied to simulate and study the effect of high cutting speed on the surface roughness.…”
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Geospatial-based data and knowledge driven approaches for burglary crime susceptibility mapping in urban areas by Noor Azmy, Suzanna

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Damage intensity class for reinforced concrete beam-column joint subjected to lateral cyclic loading by Ganasan, Reventheran

“…Keywords: RC beam-column joint; Acoustic emission; Lateral cyclic loading; Shear link aspect; Anchorage length aspect; ANN prediction models…”
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Landslide susceptibility mapping in central zab basin using satellite data by Shahabi, Himan

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Design optimization for the two-stage bivariate pattern recognition scheme by Mokhtar, Mohd Shukri

“…In order to overcome this issue, many researches proposed an artificial neural network (ANN) - based pattern recognition schemes. Such schemes were mainly utilize raw data as input representation into an ANN recognizer, which resulted in limited performance. …”
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Improving modified cocomo ii artificial neural network using hyperbolic tangent activation function by Abdulaziz Al-Shalif, Sarah Abdulkarem

“…However, ANN contributes to slow convergence caused by sigmoid function. …”
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Nondestructive investigation of soil moisture level using optical system by Mars Wai, Hong Xuan

“…This research describes the use of an optical system combined with Artificial Neural Network (ANN) for wireless and nondestructive prediction of soil moisture level. …”
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Development of coated peanut separator and frying skillet machine by Yusof, M Sallehuddin, Fadilullah, M Zul Nadzmi, Hassan, Suhaimi, Maksud, M Idris, Yunos, Muhamad Zaini

“…The groundnut is sticking and become like a ping pong size ball and the time consuming to fry is longer. …”
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Wastewater treatment plant performance evaluation using artificial neural network model by Mujeli, Mustapha, Jami, Mohammed Saedi, Kabbashi, Nassereldeen Ahmed

“…This Research paper intends to develop a model from the past operational data of WWTP using artificial neural network (ANN) for the evaluation of the plant performance. …”
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Intelligent air-cushion tracked vehicle performance investigation: neural-networks by Rahman, Mohammed Ataur, Hossain, Altab

“…Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. …”
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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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