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Combustion modelling of an industrial municipal waste combustor in Malaysia
Published 2006“…Computational fluid dynamics (CFD) modelling is now in the development phase of becoming a useful tool for 3D modelling of the complex geometry and flow conditions in incinerators. …”
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Web-Based Route Optimization System For Logistic Using Agglomerative Clustering And Genetic Algorithm
Published 2020“…To solve the system’s current limitations, several improvements like enable user to set priority on the D/O, enable user to add/remove a particular D/O on the planned route, review on others clustering and optimization algorithm can be performed in the future.…”
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Final Year Project / Dissertation / Thesis -
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Computer algorithm for automated detection of intramedullary rod hole position and orientation / Ahmad Zulhilmi Mohd Ziyadi
Published 2014“…This research is to automatically determine the holes position, distance and orientation of intramedullary rod in distal locking procedure by using in-process 3D machine vision image recognition system. It is achieve by using special algorithm that detect holes 2D coordinates and average width of intramedullary rod. …”
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Combustion modeling of municipal waste combustor
Published 2005“…CFD modeling is now in the development phase of becoming a useful tool for 3D modeling of the complex geometry and flow conditions in incinerators. …”
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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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Automation of plastic waste sorting through robotic technology
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Optimization technique with sensitivity analysis on menu scheduling for boarding school student aged 13-18 using “Sufahani-Ismail Algorithm”
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PREDICTIVE MODELING OF DIMENSIONAL ACCURACIES IN 3D PRINTING USING ARTIFICIAL NEURAL NETWORK
Published 2024“…Experimental data consisting of 27 sets of control parameters and corresponding dimensional outputs were used to train and validate the ANN model. The ANN model was developed using MATLAB software, employing training functions and learning algorithms to optimize the neural network architecture. …”
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