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Efficient removal of methylene blue dye using mangosteen peel waste: Kinetics, isotherms and artificial neural network (ANN) modeling
Published 2017“…In this work, mangosteen peel (MP) waste was used as a new biosorbent for removal of methylene blue (MB) dye from aqueous solution. …”
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UV-vis spectrophotometric and artificial neural network for estimation of ammonia in aqueous environment using cobalt(II) ions
Published 2024“…Characterizations of Co2+ ion in solution included photostability, pH effect, response time, Co2+ ion concentration effect, dynamic linear range and reproducibility, which were performed using a UV-vis spectrophotometer. …”
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An intelligent optical fibre pH sensor based on sol-gel advanced material and artificial neural network / Mohd Nasir Taib, Faiz Bukhari Mohd Suah and Musa Ahmad
Published 2005“…A three layer feed-forward network was used and the network training was performed using the back-propagation algorithm. …”
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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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Monitoring and determination of CO2 by using optical fibre sensor and artificial neural network / Faiz Bukhari Mohd Suah, Abdul Mutalib Md Jani and Siti Aminah Md Ali
Published 2006“…The bromophenol blue indicator, which has a limited dynamic range of 300-550 pH units, was found to show higher pH dynamic range of 200-1200 and with low calibration error after training with ANN The enhanced ANN could be used to predict the new measurement spectra from unknown buffer solution with an average error of 006 pH units. …”
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Stochastic model of cancer growth with the effect of glycosaminoglycans (GAGs) as anticancer therapeutics
Published 2019“…Numerical method of 4-stage stochastic Runge-Kutta (SRK4) is employed to simulate the solution. The algorithms of simulating the numerical solution are then developed. …”
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