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121
Nondestructive investigation of soil moisture level using optical system
Published 2020“…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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Thesis -
122
Wastewater treatment plant performance evaluation using artificial neural network model
Published 2010“…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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Proceeding Paper -
123
Intelligent air-cushion tracked vehicle performance investigation: neural-networks
Published 2011“…Therefore, an artificial neural-network (ANN) model is proposed to investigate the vehicle performance. …”
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124
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125
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126
A review on short-term prediction of air pollutant concentrations
Published 2018“…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. …”
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127
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128
Automatic fruits identification system using hybrid technique
Published 2011“…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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Proceeding Paper -
129
Cyclic performance and strengthening of built-up battened columns
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Thesis -
130
Development of an artificial neural network algorithm for predicting the surface roughness in end milling of inconel 718 alloy
Published 2008“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed, and axial depth of cut. …”
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Proceeding Paper -
131
Intelligent air-cushion tracked vehicle performance investigation: neural-networks
Published 2012“…Therefore, an Artifi cial Neural-Network (ANN) model is proposed to investigate the vehicle’s performance. …”
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132
Development of an artificial neural network model for the prediction of the chip serration frequency in end milling of medium carbon steel
Published 2008“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed, and axial depth of cut. …”
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Proceeding Paper -
133
Artificial neural network chip serration frequency model in end milling of medium carbon steel
Published 2009“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed and axial depth of cut. …”
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Article -
134
Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness
Published 2023“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Article -
135
Artificial intelligence based direct torque control of induction motor drive system
Published 2020“…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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Conference or Workshop Item -
136
Future Internet Addressing (FI Address)
Published 2008“…Ann innovative FI address scheme is discussed…”
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Monograph -
137
A neural network computer model of the hydrodynamical flow in the River Medway estuary at its confluence with the River Thames
Published 2008“…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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Thesis -
138
Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness
Published 2023“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Article -
139
Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness
Published 2023“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Article -
140
Determination of angry condition based on EEG, speech and heartbeat
Published 2012“…The selected features were classified by using ANN to obtain the maximum classification accuracy rate. …”
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Article