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301
Development of artificial nueral network model for the analysis of wastewater treatment
Published 2012“…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
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Monograph -
302
Integration of Artificial Intelligence in sustainable manufacturing: current status and future opportunities
Published 2023“…Content analysis of extant literature reveals that Genetic Algorithm (GA), Artificial Neural Network (ANN), and Fuzzy Logic are the most widely used AI techniques in SM. …”
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Article -
303
Modelling and optimization of process parameters for silver nanoparticles synthesis: A comparison between response surface methodology and artificial neural network
Published 2016“…In recent decades, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) have become the most used method for empirical modelling and optimization of process parameters in Chemical Engineering. …”
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Proceeding Paper -
304
Prediction of sedimentation and bank erosion due to the construction of Kahang Dam
Published 2020“…This research used the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in predicting suspended sediment concentration using sediment concentration, discharge and water level as inputs. …”
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Thesis -
305
State-of-the-art application of artificial neural networks in digital watermarking and the way forward
Published 2009“…The ability of Artificial Neural Network, ANN to learn, do mapping, classify, and adapt has increased the interest of researcher in application of different types ANN in watermarking. …”
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Proceeding Paper -
306
Multi-Mode Yagi Uda Patch Array Antenna With Non-Linear Inter-Parasitic Element Spacing
Published 2023“…Applying the inter-parasitic element spacing’s optimization and minimizing the switching circuitry using four RF PIN diodes on the parasitic elements have contributed to the gain achievement of more than 7 dBi.…”
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Article -
307
Computational intelligence: application in digital watermarking
Published 2012“…Mathematical model of ANN in relation to digital watermarking is indentified, elucidated and simplified. …”
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Proceeding Paper -
308
Artificial neural network for modeling coagulant dosing for water treatment plants
Published 2011“…The correlation between actual and ANN estimation of coagulant dosing model is 0.97 of 1.00. …”
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Proceeding Paper -
309
Participation of annexin 1 in the response of Arabidopsis thaliana to lead exposure: potential for phytoremediation
Published 2009“…The relative contribution of AnnAt1 in defence against Pb stress will be discussed. …”
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Proceeding Paper -
310
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311
Classification of water quality using artificial neural network
Published 2020“…The ANN produced highly accurate water quality classification. …”
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Thesis -
312
A hybrid technique for dinar coin price prediction using artificial neural network based autogressive modeling technique
Published 2011“…The input data is formatted to meet the input data requirement of the ANN-based AR model. The formatted data are then fed to the ANN-based AR model for parameters estimation. …”
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Proceeding Paper -
313
Predictive model and near infrared spectroscopy in predicting the diesel fuel properties
Published 2018“…NIR spectroscopy shows an enormous potential for quantitative analysis of complex samples by coupling with artificial neural networks (ANNs). Although a single layer ANN shows promising in the establishing better relationship between a component of interest and NIR spectrum, a different algorithm for updating weight that has been proved to improve the performance of the multilayer could further reveal the potential of single linear layer ANN in NIR spectroscopic analysis. …”
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Thesis -
314
Harmonic elimination by switching angle optimization technique for multilevel inverter
Published 2019“…The simulation results with using the PI controller and ANN controller to reduce THDs have been compared and discussed. …”
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Thesis -
315
An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction
Published 2014“…Learning an Artificial Neural Network (ANN) is an optimization task since it is desirable to find optimal weight sets of an ANN in the training process. …”
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Thesis -
316
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317
Gastro-retentive drug delivery systems and their in vivo success: A recent update
Published 2016“…Reported in vivo studies with beagle dogs, rabbits, and human subjects are only a handful in spite of a large number of encouraging in vitro results. …”
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Article -
318
Application of intelligent technique for development of Colpitts oscillator
Published 2013“…In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin's resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. …”
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Proceeding Paper -
319
Wear characteristics of Fe-C-Si and Fe-C-Al cast irons
Published 2011“…In the present study, wear behavior of the Fe-C-Si and Fe-C-Al cast irons were investigated using a pin-on-disk type apparatus at room temperature. …”
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Article -
320
Biomechanical evaluation and new improvement on ankle external fixator
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Thesis