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521
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522
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 -
523
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 -
524
Pengaruh pemanduan bas rapid terhadap penggunaan bahan bakar
Published 2016“…Pemanduan dari keadaan pegun untuk 30km/j pertama memberi kesan penggunaan bahan bakar tinggi sebanyak 67% kadar kenaikan kerana pemandu menggunakan kadar pecutan yang tinggi. …”
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Thesis -
525
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 -
526
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527
Intelligent solar panel monitoring system and shading detection using artificial neural networks
Published 2023“…This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. …”
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528
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529
Estimation of monsoon rainfall by single polarization weather radar
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Thesis -
530
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531
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532
Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting
Published 2020“…In view of this drawbacks of these three models (ANN, ARMA and HMM), we developed an efficient Hybrid Hidden Markov Model using fusion of ARMA Model and Artificial Neural Network for crude oil price forecasting, MATLAB was employed to develop the four models (Hybrid HMM, HMM, ARMA and ANN). …”
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Thesis -
533
‘Really putting a different slant on my use of a glass of wine’: patient perspectives on integrating alcohol into structured medication reviews in general practice
Published 2023“…Method: Semi-structured interviews with a sample of 10 patients who drank alcohol twice or more each week, recruited to the study by five clinical pharmacists during routine SMR delivery. …”
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534
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535
Rak televisyen minimalis berkonsepkan bentuk geometri
Published 2020“…Dengan peningkatan kadar populasi yang sangat tinggi berbanding keluasan tanah menyebabkan peningkatan permintaan terhadap pemilikan rumah adalah lebih tinggi berbanding jumlah rumah yang dibina. …”
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Book Section -
536
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537
Model kelestarian program TVET berasaskan kompetensi pensyarah dan amalan lestari Kolej Vokasional
Published 2016“…Manakala kelestarian program TVET tahap sedia ada (min=3.10) adalah sederhana dan tahap yang diperlukan (min=4.42) adalah tinggi. Ianya menunjukkan bahawa secara umumnya tahap diperlukan adalah lebih tinggi berbanding tahap sedia ada. …”
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Thesis -
538
Data-driven modelling and optimization of palm oil refining process
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Thesis -
539
Forecasting of groundwater level using artificial neural network by incorporating river recharge and river bank infiltration
Published 2017“…ANN model was used in this study is based on the long period forecasting of daily groundwater tables. …”
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Article -
540
Development of coated peanut separator and frying skillet machine
Published 2018“…The groundnut is sticking and become like a ping pong size ball and the time consuming to fry is longer. …”
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Article