Search Results - (( modeling integrated process algorithm ) OR ( java implication based algorithm ))
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
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Integration of image processing algorithm and deep learning approaches to monitor ginger plant
Published 2024“…This study aims to integrate image processing and deep learning algorithms to monitor the growth of ginger plants. …”
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Augmented model based double iterative loop techniques for integrated system optimisation and parameter estimation of large scale industrial processes
Published 1993“…The methods incorporate integrated system optimisation and parameter estimation which utilizes process measurements to achieve real process optimality inspite of model reality differences. …”
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The development of integrated planning and scheduling framework for dynamic and reactive environment of complex manufacturing problem
Published 2008“…We present two models of manufacturing process, namely machine model and process model. …”
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An integrated algorithm of analytical network process with case-based reasoning to support the selection of an ideal football team formation and players
Published 2021“…A new combined decision model which integrates Analytical Network Process and Case-based Reasoning was developed. …”
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Automatic Additive Manufacturing Product Generation Through Computer Aided Process Planning Using 3D/4D/5D Printing
Published 2022“…Therefore, an integrated CAD/CAM system are used to automated the printing process by creating an algorithm that able to decide the type of printing process (3D, 4D or 5D printing) suitable with the model and convert it to STL file automatically. …”
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VHDL modeling of optimum measurement selection by using genetic algorithm
Published 2009“…A Genetic Algorithm (GA) that is going to be a part of a system for obtaining optimum sensor measurements for a specific process. …”
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3D character reconstruction from 2D orthogonal images
Published 2025“…The proposed algorithm is organized into modular stages, allowing artists and developers to further improving the pipeline by integrating computer vision, AI models and 3D modelling and scripting techniques. …”
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Final Year Project / Dissertation / Thesis -
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SURE-Autometrics algorithm for model selection in multiple equations
Published 2016“…The algorithm is developed by integrating the SURE model with the Autometrics search strategy; hence, it is named as SURE-Autometrics. …”
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Process Planning Optimization In Reconfigurable Manufacturing Systems
Published 2008“…The uniqueness of this approach lies in embedding an integrated scheduling function into a partially integrated process planning function in order to exploit the strategic potentials of flexibility and reconfigurability in manufacturing systems. …”
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An integration of AHP-ACO technique for social interaction and travel planning
Published 2016“…Besides that, improving the processing speed of the algorithm is also another challenge of this research. …”
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Optimisation of fed-batch fermentation process using deep reinforcement learning
Published 2023“…The proposed algorithm improves the productivity of yeast while limiting ethanol formation and shows satisfactory performance in dealing with model mismatch and process disturbance.…”
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Graph processing hardware accelerator for shortest path algorithms in nanometer very large-scale integration interconnect routing
Published 2007“…Many challenging problems in Very Large-Scale Integration (VLSI) physical design automation are modeled using graphs. …”
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Development of an integrated scheduling model for handling equipment in automated port container terminals
Published 2014“…In other side, the integration of various types of handling equipment, is another important way to increase the efficiency of processes and productivity of a container terminal. …”
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A meta-heuristics based input variable selection technique for hybrid electrical energy demand prediction models
Published 2017“…These models are developed by integrating multilayer perceptron neural network and evolutionary optimization techniques. …”
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