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Formulation of model predictive control algorithm for nonlinear processes
Published 2004“…An unconstrained MIMO DMC and nonlinear MPC (NNMPC) algorithms were developed using a step response model and two feedforward neural networks respectively. …”
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Monograph -
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Multi-objective optimisation of assembly line balancing type-e problem with resource constraints
Published 2016“…The validation phase from the industrial case study concluded that the proposed methodology and algorithm can be implemented in industries. …”
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Thesis -
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Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm
Published 2023“…Lastly, a study of the industrial case was performed as a validation of the developed model and algorithm. …”
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Thesis -
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Strategies for effective value management practice in construction industry
Published 2017“…The objectives were to develop a new optimisation algorithm and apply the results to control construction project costs. …”
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Thesis -
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Test case generation from state machine with OCL constraints using search-based techniques / Aneesa Ali Ali Saeed
Published 2017“…Case study evaluation was conducted based on three industrial open source case studies in order to evaluate empirically the significant of the performance of the proposed method. …”
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Thesis -
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DEVELOPMENT OF OE-BASED BROWN-FORSYTHE TEST ALGORITHM FOR CONTROL VALVE STICTION DETECTION
Published 2018“…Therefore, the main objective of the project is to develop an OE-based Brown-Forsythe test algorithm to effectively detect the presence of control valve stiction.In this study, the proposed OE model is developed using System Identification in MATLAB, where it is used to simulate the process output (PV). …”
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Final Year Project Report / IMRAD -
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A framework of test case prioritisation in regression testing using particle swarm-artificial bee colony algorithm
Published 2024“…The primary theoretical contribution is the TCP framework, which is applied in the software testing industry. TCP factors and a weighted fitness function are also used for test case optimisation. …”
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Neural network based model predictive control for a steel pickling process
Published 2009“…The proposed algorithm is tested for control of a steel pickling process in several cases in simulation such as for set point tracking, disturbance, model mismatch and presence of noise. …”
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Article -
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Forecast innovative development level in green supply chains using a comprehensive fuzzy algorithm
Published 2022“…Both internal and external features can influence a business's innovative development; thus, there must be relationships between these aspects for Innovative Development to succeed. …”
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Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm
Published 2023“…Hence, a semi-dynamic obstacle with better optimization solutions is crucial to cope with mobile robots in the industry environment. Thus, this thesis aims to develop a mobile robot for industrial applications by leveraging a genetic algorithm (GA). …”
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Thesis -
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'Chapter 7: Smartphone penetration test: Securing Industry 5.0 mobile applications' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 Technology, Tools, and Al...
Published 2024“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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Book Chapter -
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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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Determination Of Heat Transfer Coefficients In Heat Exchangers By Genetic Algorithm
Published 2010“…Genetic algorithm (GA), developed by John Holland in the 1970s, is gaining widespread attention throughout the years. …”
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Final Year Project -
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A holistic review on artificial intelligence techniques for well placement optimization problem
Published 2020“…In this paper, several nature-inspired metaheuristic optimization techniques and their application to maximize the economic factors are reviewed. Newly developed optimization algorithms are very efficient and favorable when compared to other established optimization algorithms and in all cases, it has been noticed that hybridization of two or more algorithms works better than stand-alone algorithms. …”
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Simulated Kalman Filter algorithms for solving optimization problems
Published 2019“…Its optimality has inspired the development of a metaheuristic algorithm called Heuristic Kalman Algorithm (HKA) in 2009. …”
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Thesis -
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'Chapter 10: 5G-enabled IoT applications in healthcare: Transforming the Industry 5.0 healthcare landscape' in "1st Edition, The Future of Human-Computer Integration Industry 5.0 T...
Published 2024“…The Future of Human-Computer Integration: Industry 5.0 Technology, Tools, and Algorithms provides a valuable insight into how Industry 5.0 technologies, tools, and algorithms can revolutionise industries and drive innovation. …”
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Book Chapter
