Search Results - (( water content method algorithm ) OR ( java implication based algorithm ))
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Moisture uptake in natural rubber via genetic algorithm
Published 2017“…This study was conducted to determine the behavior of moisture content in different shape of natural rubber and to implement the use of Genetic Algorithm on the behavior of moisture uptake in natural rubber. …”
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Moisture uptake in natural rubber via genetic algorithm: article
Published 2017“…This study was conducted to determine the behavior of moisture content in different shape of natural rubber and to implement the use of Genetic Algorithm on the behavior of moisture uptake in natural rubber. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Intelligent technique for grading tropical fruit using magnetic resonance imaging
Published 2013“…This work shows that ANN and MRI have the capability of predicting the internal content and detect defect fruit based on water proton content. …”
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Study of carbon black-epoxy based fat tissue phantom and its dielectric properties / Hatem Mohamed Abdelwahab Al-Gabroun
Published 2010“…Breast cancer detection is particularly attractive from a microwave imaging perspective, the major reason referred to the potentially high dielectric contrast between cancerous tissues and normal breast tissues depending on water content. Low water tissues tend to be low permittivity as fat, whilst high water content tissues tend to be high permittivity as cancerous tissues. …”
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Method of Moment Analysis Using Open-Ended Coaxial Sensor in Determination of Corn Reflection Coefficient
Published 2010“…The moisture content predicted by the sensor was in good agreement with those obtained using the standard oven drying method with its absolute error within 5 % moisture content, when tested on 114 different corn samples. …”
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Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail
Published 2015“…Back-propagation algorithm is a training method widely used in a multilayer perceptron Neural Network model. …”
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Hybrid optimisation electromagnetic interference shielding effectiveness:mechanical and physical performance of plaster mortar containing palm oil fuel ash using taguchi grey and t...
Published 2019“…Pre-experiment data is optimized based on Taguchi-grey and Flower Pollination Algorithm (FPA) methods. The feasibility of the optimization was evaluated by repeating the experiments. …”
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Monitoring the dielectric properties and propagation conditions of mortar for modern wireless mobile networks
Published 2020“…The dielectric properties of water are realized using the proposed method to subtract the effects of water contents from the prepared mortar samples. …”
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Neural Network Controller Implementation on a Supersonic Separator
Published 2009“…Supersonic Separator was developed in the last decade to replace the conventional method of removing water content from raw natural gas by chemicals. …”
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PREDICTIVE MAXIMUM POWER POINT TRACKING (MPPT) ALGORITHM FOR PERMANENT EXCHANGE MEMBRANE FUEL CELL (PEMFC)
Published 2022“…A comparison of PEMFC performances based on the proposed technique with other existing MPPT algorithms will be done to validate the algorithm performance. …”
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Final Year Project Report / IMRAD -
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Deep learning for face detection using matlab
Published 2020“…The algorithm was able to distinguish between human and non-human faces. …”
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Artificial neural network (ANN) modeling & validation to predict compression index of tropical soft soil
Published 2010“…Therefore, a programming was written by using MATLAB 6.5 and train with eight different training algorithm, namely Resilient Backpropagation (rp), Conjugate Gradient Polak-Ribiére algorithm (cgp), Scale Conjugate Gradient (scg), Levenberg-Marquardt algorithm (lm), BFGS Quasi-Newton (bfg), Conjugate Gradient with Powell/Beale Restarts (cgb), Fletcher-Powell Conjugate Gradient (cgf), and One-step Secant (oss) have been compared for the best prediction of Cc. …”
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Final Year Project Report / IMRAD -
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Neural network-based prediction models for physical properties of oil palm medium density fiberboard / Faridah Sh. Ismail
Published 2015“…Back-propagation algorithm is a training method widely used in a multilayer perceptron Neural Network model. …”
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Terahertz sensing analysis for early detection of ganoderma boninense disease using near infrared (NIR) spectrometer
Published 2023“…The significant wavelengths are at 1310 nm and 1450 nm which are attributable to ergosterol and water content, respectively. Furthermore, the SG derivatives spectra peaks corresponded to specific functional groups that could be utilized for the detection of G. boninense. …”
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Chemometric approaches in the evaluation of trace metals in commercially raised tilapia and preliminary health risk assessment of its consumption / Low Kah Hin
Published 2012“…In this work, chemometric techniques have been utilized to improve the analysis of metal content in commercially raised tilapia. In the method development phase, multivariate calibration techniques involving principal component regression and partial least squares were employed to establish a simple spectrophotometric method for the simultaneous determination of Cu2+, Ni2+ and Zn2+ in water samples in the presence of 1-(2-thiazolylazo)-2-naphthol as chromogenic reagent. …”
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Production and characterization of biochar derived from oil palm wastes, and optimization for zinc adsorption
Published 2015“…The incremental back propagation algorithm demonstrated the best results and which has been used as learning algorithm for ANN in combination with Genetic Algorithm in the optimization. …”
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