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281
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 -
282
Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb
Published 2012“…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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Proceeding Paper -
283
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 -
284
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 -
285
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 -
286
Comment on: Laparoscopic transperitoneal ureterolithotomy for large ureteric stone
Published 2012Get full text
Article -
287
Future Internet Addressing (FI Address)
Published 2008“…Ann innovative FI address scheme is discussed…”
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Monograph -
288
Surface Electromyography (sEMG)-based thumb-tip angle and force estimation using artificial neural network for prosthetic thumb
Published 2012“…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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Article -
289
Cancer classification from DNA microarray data using mRMR and artificial neural network
Published 2016“…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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Proceeding Paper -
290
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 -
291
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 -
292
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 -
293
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 -
294
Three history meetings at Camden Irish Centre
Published 1987“…Advert for a series of lectures taking place at the Camden Irish Centre: 'Is there a revisionist history of Irish women?' Ann Rossiter, on 7 May; 'The media and the Irish in Britain' by Liz Curtis, on 4 June; and 'The South Leitrim soviet of the 1930s' by Margaret Gralton, on 2 July. …”
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Ephemera -
295
Prediction of the glucose level in blood using near infrared spectrometer
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Thesis -
296
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297
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298
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299
Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network
Published 2015“…Investigation has been focused on an integrated SPC - ANN model. This model utilizes the Exponentially Weighted Moving Average (EWMA) control chart and ANN model in two-stage monitoring and diagnosis technique. …”
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Thesis -
300
The effect of pre-processing techniques and optimal parameters on BPNN for data classification
Published 2015“…The architecture of artificial neural network (ANN) laid the foundation as a powerful technique in handling problems such as pattern recognition and data analysis. …”
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Thesis