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Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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OPTIMAL DESIGN OF A BLDC MOTOR BY GENETIC ALGORITHM
Published 2007“…The design and analysis of the motor are performed using software tools within the C/C++ programming environment. The optimal design parameters of the motor obtained by GA are compared with those obtained by SA technique. …”
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Final Year Project -
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Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
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Formulating and solving stochastic truck and trailer routing problems using meta-heuristic algorithms / Seyedmehdi Mirmohammadsadeghi
Published 2015“…For solving TTRP, a variety of algorithms have been applied earlier but TTRPSD programming has not yet solved. …”
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Thesis -
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Optimal power flow based on fuzzy linear programming and modified Jaya algorithms
Published 2017“…The main advantage of this algorithm is that no algorithm-particular controlling parameters are required for this algorithm. …”
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Thesis -
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Hybrid fuzzy-sliding mode observer design for estimation and advanced control of an ethylene polymerization process / Jarinah Mohd Ali
Published 2017“…The first case is the known initial state without constraint, which is the ideal case for study or more likely for programming validation purposes. …”
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Thesis -
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A hybrid optimization technique for solving economic emission load dispatch problems
Published 2023text::Final Year Project -
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Fitting time-varying coefficients SEIRD model to Covid-19 cases in Malaysia
Published 2023“…Several optimization algorithms under Python’s LMfit package, such as Levenberg-Marquardt, Nelder-Mead, Trust-Region Reflective and Sequential Linear Squares Programming; are employed to estimate the related parameters, in such that the numerical solution of the ODEs will fit the data with the slightest error. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Estimation of Transformers Health Index Based on Condition Parameter Factor and Hidden Markov Model
Published 2023Conference Paper -
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Modelling and optimisation of blood glucose control for type 1 diabetes using multi-parametric programming and model-based predictive control (mp-MPC) / Associate Professor Dr Ayub...
Published 2014“…In doing so, Multi-Parametric Programming technique is used to develop the computer algorithm; whereas Model-Based Predictive Control (MPC) is adopted for the design of the controller. …”
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Monograph -
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Optimal Strategy for Comfort-Based Home Energy Management System Considering Impact of Battery Degradation Cost Model
Published 2024“…In this paper, a novel scheduling algorithm based on a mixed-integer programming (MIP) model is proposed for the HEMS. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Combinatorial Black Hole Algorithm: A Metaheuristic Approach for Combinatorial Testing
Published 2023“…The effectiveness of this approach is demonstrated through experiments on a series of real-world computer programs. The findings indicate that the method is feasible in identifying defects with fewer test cases and in less time needed compared to the current technology in CT techniques. …”
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Experimental implementation controlled SPWM inverter based harmony search algorithm
Published 2023Article
