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Artificial neural network application in sediment prediction: a review
Published 2020“…This chapter reviews several relevant works of literature on sediment transport prediction while focusing on a wide range of ANN applications. ANN sediment transport models have increasingly attracted several researchers over the past years. …”
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Book Section -
343
Development of switchable planar reflectors for beam shaping realization
Published 2016“…Higher tunable loss factor of 1.91dB was demonstrated by liquid crystal based design as compared to tunable loss factor of 1.43dB shown by PIN diode based design. The investigations were further extended by carrying out equivalent circuit analysis of PIN diode based and liquid crystal based designs for detailed characterization of reconfigurable planar reflector designs. …”
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Thesis -
344
Multiple inputs artificial neural network model for the prediction of wastewater treatment plant performance
Published 2012“…Extensive influent and effluent parameters database containing measured data spanning over two years of period was used to develop and train ANN using ANN toolbox in commercially available software, MATLAB. …”
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Article -
345
Development of artificial neural 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 -
346
Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network
Published 2010“…In this study, the same optimization was done by using ANN. The predictive and generalization ability of both ANN and RSM were compared using similar dataset of 20 experiments. …”
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Proceeding Paper -
347
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348
Characterization of cyclic plasticity type wear mechanism for titanium alloy, TI-6AL-4V on reciprocating sliding wear test
Published 2020“…Meanwhile for the contact pin, two different diameter cylinders are used i.e Ø6.5 mm and Ø12 mm. …”
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Thesis -
349
Enrichment of fruit wastes with white rot fungi under submerged state bioconversion
Published 2013“…On Banana and Pineapple (BPin) the protein content were recorded as18.05 and 15.75 mg/g, which was higher than Papaya and Pineapple (PinPw) and Banana and Papaya (BPw)composite. M6 has 15.4 and 9.78 mg/g on BPinPw, 13.84 and 13.59 mg/g on BPw, 20.82, and 22.97 mg/g on BPin and 18.29 and 11.59 mg/g on PinPw. …”
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Proceeding Paper -
350
Electrical breakdown and structural characterization in synthetic resins using optical techniques
Published 1992“…The early tree growth is shown to be driven by the high electrical field near the pin tip, which is itself dependent on the pin-plane electrode separation as well as the applied voltage. …”
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Thesis -
351
Development of remote operability CNC milling
Published 2010“…Attachment consists of three main equipments; material indexing device, Sub clamp with pin and vise index…”
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Proceeding Paper -
352
The system architecture of E-braille by using the microcontroller and external controller unit
Published 2016“…This refreshable braille cell can refresh the character. The pin for each braille cell is controlled by using piezoelectric bimorph. …”
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Article -
353
Halal meats and frozen foods: the halal abattoir, packaging, storage and handling
Published 2009“…We take it for granted that we just simply pick any frozen meat or food stamped with the halallogo. …”
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Article -
354
An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network
Published 2012“…This high Correlation of coefficient indicates that the ANN model is a perfect match.…”
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Article -
355
Improvement of artificial neural network model for the prediction of wastewater treatment plant performance
Published 2011“…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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Proceeding Paper -
356
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
357
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
358
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
359
A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding
Published 2023“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Article -
360
Foraging ecology of birds in mudflat area of Tanjung Laboh, Johor
Published 2021“…No significant differences were found in time spent foraging between the bird species, (F = 0.18, p = 0.946). …”
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