Search Results - (( model validation based algorithm ) OR ( parameter automation case algorithm ))*
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Deep Learning Based image segmentation for expensive soil desiccation crack recognition and qualification
Published 2025“…This study validates the effectiveness of deep learning based segmentation methods for automated soil crack recognition and quantification, contributing to engineering applications with improved methodologies for analysing desiccation behaviour in expansive soils. …”
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Final Year Project / Dissertation / Thesis -
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Adaptive linux-based TCP congestion control algorithm for high-speed networks
Published 2017“…The main contributions of this model are: First, to validate the simulation results of AF-based CCA by comparing them to the numerical results of this model and to the results of NewReno as a benchmark. …”
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Thesis -
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Optimization of Simultaneous Scheduling for Machines and Automated Guided Vehicles Using Fuzzy Genetic Algorithm
Published 2009“…Fuzzy logic controllers (FLCs) have been used in the literature to control key parameters of the GA which is addressed as fuzzy GA (FGA). …”
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Modeling of cardiovascular diseases (CVDs) and development of predictive heart risk score
Published 2021“…Secondly, the ML models offer better and consistent risk prediction models as compared to LRA-based model. …”
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7
A comparative analysis of metaheuristic algorithms in fuzzy modelling for phishing attack detection
Published 2021“…The increasing and never-ending case of phishing attack has led to more automated approaches in detecting phishing attack. …”
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Article -
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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…This study explores the performance accuracies of partitioning-based algorithms and probabilistic model-based algorithm. …”
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Article -
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Dynamic modelling of a flexible beam structure using feedforward neural networks for active vibration control
Published 2019“…Correlation tests were used to validate the obtained model. Based on the proposed method, a small mean squared error value has been achieved in the validation phase. …”
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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. An automotive company is selected, and the collected actual data is used for validation purposes. …”
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Thesis -
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Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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Analysis of Toothbrush Rig Parameter Estimation Using Different Model Orders in Real Coded Genetic Algorithm (RCGA)
Published 2024“…The validation test-through correlation analysis was used to validate the model. …”
Article -
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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Article -
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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Article -
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper
Published 2016“…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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Thesis -
16
Analysis of toothbrush rig parameter estimation using different model orders in Real-Coded Genetic Algorithm (RCGA)
Published 2018“…The validation test-through correlation analysis was used to validate the model. …”
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Article -
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Validation on 3D surface roughness algorithm for measuring roughness of psoriasis lesion
Published 2010“…Roughness index is calculated by using average roughness equation to the height map matrix. The roughness algorithm has been tested to 55 lesion models. From roughness validation result, only 2 models can not be accepted (percentage error is greater than 10%). …”
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Citation Index Journal -
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Modeling, Testing and Experimental Validation of Laser Machining Micro Quality Response by Artificial Neural Network
Published 2009“…Ten different architectures and models were tested and finally the best 3-8-1 model was finalized based on R square values. …”
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An Apriori-based Data Analysis on Suspicious Network Event Recognition
Published 2019“…The advantage of our rule-based model is that the obtained rules are very easy to understand in comparison with other 'black-box' machine learning models. …”
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Conference or Workshop Item -
20
Job position prediction based on skills and experience using machine learning algorithm / Ezaryf Hamdan
Published 2024“…Cross-validation techniques are employed to validate the model's performance and ensure robustness. …”
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Thesis
