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Attribute reduction based scheduling algorithm with enhanced hybrid genetic algorithm and particle swarm optimization for optimal device selection by Nwogbaga, Nweso Emmanuel, Latip, Rohaya, Affendey, Lilly Suriani, Abdul Rahiman, Amir Rizaan

“…Therefore, in this paper, we proposed Dynamic tasks scheduling algorithm based on attribute reduction with an enhanced hybrid Genetic Algorithm and Particle Swarm Optimization for optimal device selection. …”
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Multi-floor indoor location estimation system based on wireless local area network by Chua, Tien Han

“…The most probable match is selected and returned as estimated location based on Bayesian filtering algorithm. …”
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Ant colony optimization algorithm for load balancing in grid computing by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…Global pheromone update is performed after the completion of processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization. …”
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Enhancement of Ant Colony Optimization for Grid Job Scheduling and Load Balancing by Husna, Jamal Abdul Nasir

“…A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against existing grid resource management algorithms such as Antz algorithm, Particle Swarm Optimization algorithm, Space Shared algorithm and Time Shared algorithm, in terms of processing time and resource utilization. …”
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Resource management in grid computing using ant colony optimization by Ku-Mahamud, Ku Ruhana, Mohamed Din, Aniza

“…Resources with high pheromone value are selected to process the submitted jobs.Global pheromone update is performed after completion processing the jobs in order to reduce the pheromone value of resources.A simulation environment was developed using Java programming to test the performance of the proposed EACO algorithm against other ant based algorithm, in terms of resource utilization.Experimental results show that EACO produced better grid resource management solution.…”
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JTAGGER by YAACOB, NORHANA

“…The part-of-speech tagging algorithms fall into three classes which are rule-based taggers, stochastic taggers, and transformation-based taggers. …”
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Uncertain viscoelastic models with fractional order: a new spectral tau method to study the numerical simulations of the solution by Ahmadian, A., Ismail, F., Salahshour, S., Baleanu, D., Ghaemi, F.

“…A new and accurate numerical algorithm using a spectral tau technique based on the generalized fractional Legendre polynomials (GFLPs) is developed to solve those problems under uncertainty. …”
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Implementation of RIO in UMJaNetSim / Chan Chin We by Chan, Chin We

“…In this project, I will focus on the earliest making algorithm, which is calculating the average queue sizes for in-profile packets and total packets. …”
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Solar Photovoltaic Maximum Power Point Tracking via Predictive Technique by ‘Ainaa Nur Batrisyia binti Abdul Rahman, -

“…The first stage of this study is to develop the MPPT algorithm that are commonly divided into six types; Perturb and Observe (P&O), Incremental Conductance (INC), Fractional Open Circuit Voltage (FOVC), Fractional Short Circuit Current (FSCC), Artificial Neural (ANN) and Fuzzy Logic Control (FLC). …”
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The implementation of post-processing data thinning for multibeam echo sounding data by Mahmud, Mohd. Razali, Mohd. Yusof, Othman

“…Comparisons on the final results based on these three algorithms will be discussed in order to decide which algorithm is most favorable to be used in post-processing data thinning for cleaned MBES dataset. …”
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Predictive modelling of nanofluids thermophysical properties using machine learning by Olanrewaju, Alade Ibrahim

“…This thesis aimed to develop machine learning algorithms to estimate the thermophysical properties of commonly used nanofluids. …”
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An improved vulnerability exploitation prediction model with novel cost function and custom trained word vector embedding by Hoque M.S., Jamil N., Amin N., Lam K.-Y.

Influences of geometrical parameters on the heat transfer characteristics through symmetry trapezoidal-corrugated channel using SiO2-water nanofluid by K. Ajeel, Raheem, Wan Salim, Wan Saiful-Islam, Hasnan, Khalid

“…The numerical results indicate that the h/W of 0.05 with a p/L of 0.075 are the optimum parameters and have shown significant improvement in thermal performance factor. Furthermore, new correlations for Nusselt number and friction factor are developed and reported.…”
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Influences of geometrical parameters on the heat transfer characteristics through symmetry trapezoidal-corrugated channel using SiO2-water nanofluid by K. Ajeel, Raheem, W. Salim, W.S.-I, Hasnan, Khalid

“…The numerical results indicate that the h/W of 0.05 with a p/L of 0.075 are the optimum parameters and have shown significant improvement in thermal performance factor. Furthermore, new correlations for Nusselt number and friction factor are developed and reported.…”
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Fuzzy-based multi-agent approach for reliability assessment and improvement of power system protection by Nadheer Abdulridha, Shalash

“…The probability agent is to determine the capacity in service while a fuzzy model agent is to estimate the operation or failure probability. In addition, another two agents have been developed based on Monte Carlo simulation. …”
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Analysis of daytime and nighttime ground level ozone concentrations using boosted regression tree technique by Yahaya, Noor Zaitun, Ghazali, Nurul Adyani, Ahmad, Sabri, Mohammad Asri, Mohammad Akmal, Ibrahim, Zul Fahdli, Ramli, Nor Azman

“…Using the number of trees between 2,500-3,500, learning rate of 0.01, and interaction depth of 5 were found to be the best setting for developing the ozone boosting model. The performance of the O3 boosting models were assessed, and the fraction of predictions within two factor (FAC2), coefficient of determination (R²) and the index of agreement (IOA) of the model developed for day andnighttime are 0.93, 0.69 and 0.73 for daytime and 0.79, 0.55 and 0.69 for nighttime respectively. …”
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Power ultrasonic assisted mixing and proofing during bread making process by Che Pa, Nasrul Fikry

“…Power levels of 1.00, 1.50, 2.05 and 2.50 kW and durations of 10, 20, 30, and 40 minutes (for mixing); 15, 30, 45, 60 minutes (for proofing) were used. A simplified algorithm using Vision Assistant 2009 (National Instruments) imaging software was developed to assist in crumb structure analysis of bread. …”
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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 by Mat Norman, Mohd Arif

“…The study explored various factors influencing natural frequencies, including aspect ratio, principal moduli ratio, anti-symmetry plies, volume fiber fractions, and skew angle of laminated composite plates. …”
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Optimal Sizing of PV-Battery based Hybrid Renewable System using Particle Swarm Optimization for Economic Sustainability by Wali S.B., Hannan M.A., Ker P.J., Kiong T.S.