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Fault diagnostic algorithm for precut fractionation column
Published 2004“…The fatty acid precut fractionation column chosen as a case study is modeled by the commercial simulator, HYSYS.Plant. …”
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Hazard identification on fractionation column using rule based expert system
Published 2001“…The base case study used is a fractionation column of an oleochemical plant. …”
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Non-Parametric and Parametric Estimations of Cure Fraction Using Right-and Interval-Censored Data
Published 2011“…In this case, the estimation was developed based on the exponential and Weibull distributions using the right and interval censoring types; and 2) when covariates were incorporated into the analysis through the scaleparameter of the exponential distribution only using the same types of data censoring. …”
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4
Solving fractional differential equations using fractional explicit method
Published 2024“…The main goal of this research is to derive FEM by considering the implementation of second-order Adam-Bashforth method using Lagrange interpolation for fractional case. Besides, the order and convergence analysis of the developed method will also be investigated in this study. …”
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Solving fractional differential equations using fractional explicit method
Published 2024“…The main goal of this research is to derive FEM by considering the implementation of second-order Adam-Bashforth method using Lagrange interpolation for fractional case. Besides, the order and convergence analysis of the developed method will also be investigated in this study. …”
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A genetic algorithm for the cryptanalysis of Chor-Rivest knapsack public key cryptosystem (PKC)
Published 1999“…The algorithm found the exact solution in all attempted cases.…”
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Proceeding Paper -
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Development of rule-based advisory system from modified hazard and operability study on fatty acid fractionation column
Published 2003“…The base case in this study is a fatty acid fractionation column of an oleo chemical plant. …”
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8
Parametric cure fraction models for interval-censoring with a change-point based on a covariate threshold
Published 2015“…It becomes a very useful tool for handling situations in which a proportion of subjects under study may never experience the event of interest. Cure fraction models for interval-censored data are less developed compared to the right-censoring case. …”
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9
Fault detection and diagnosis using correlation coefficients
Published 2005“…A fractionation column from a palm oil fractionation plant is chosen as the case study and the model of the case study is simulated in Matlab. …”
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10
Artificial neural network and inverse solution method for assisted history matching of a reservoir model
Published 2017“…This allows to directly simulate the trained neural network and avoid the use of objective function and optimization algorithm. The efficacy of the developed approach was evaluated using a benchmark reservoir model case study which was originally developed for investigation of three-phase three-dimensional Black-Oil modelling techniques under the 9th SPE comparative study project. …”
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A port-stream based equation oriented modelling of complex distillation column: A dividing wall column case study
Published 2020“…To verify the functionality of the proposed method, the modelled DWC is validated with two case studies depicted from experimental literature data to separate alcohol mixture and fatty acid fractionation. …”
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Region-growing based segmentation and bag of features classification for breast ultrasound images
Published 2017“…To measure the result of algorithm developed, dice coefficient (DC) is the metric that is chosen to measure the accuracy of algorithm; Dice similarity coefficient (DSC) was used as a statistical validation metric to evaluate the performance of both the reproducibility of manual segmentations and the spatial overlap accuracy of automated probabilistic fractional segmentation of ultrasound images. …”
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Verification of volume-of-fluid (VOF) simulation for thin liquid film applications
Published 2023Conference paper -
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Runtime pluggable CPU scheduler for linux operating system
Published 2010“…It also provides a flexible interface for kernel developers which facilitates the evaluation and testing for their newly developed scheduling algorithms. …”
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15
Parametric investigation of battery thermal management system with phase change material, metal foam, and fins; utilizing CFD and ANN models
Published 2024“…Finally, an artificial neural network model is developed using the backpropagation learning technique coupled with the gradient descent optimization algorithm. …”
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Predictive modelling of nanofluids thermophysical properties using machine learning
Published 2021“…The GA/SVR results for Al2O3-water exhibits better accuracy than model I and Model II. In the case of Al2O3-EG nanofluids, the developed technique comprises of hybridization of Bayesian optimization algorithm with support vector regression (BSVR). …”
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Development of a novel natural frequencies prediction tool for laminated composite plates using integrated artificial neural network (ANN) - simulink MATLAB / Mohd Arif Mat Norman
Published 2024“…The prediction tool utilises an Artificial Neural Network (ANN) with a two-layer feed-forward algorithm and ten hidden layers, using Levenberg-Marquardt as the training algorithm. …”
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