Search Results - (( model validation matching algorithm ) OR ( based information based algorithm ))*
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Approach For Optimizing Course Recommendation Based On Integrating Modified Felder-Silverman Learning Style Model With Meta-Heuristics Algorithm
Published 2023“…This research streamlines course selection by matching it with learners' styles. It involves identifying potential courses learning style, validated through genetic and surrogate meta-heuristics optimization algorithms, and employing Felder-Silverman model for learning style identification. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs
Published 2017“…Banking on this, region labeling assigns the labels of either background or foreground region based on a proposed graph coloring algorithm, which considers trajectory-based features. …”
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Penggunaan penyepadanan imej berdasarkan kawasan dalam fotogrametri jarak dekat bagi pengukuran permukaan struktur
Published 2006“…Image correspondence is achieved by using an area-based image matching and centroid matching which makes use of simple surface models. …”
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Investigating the feasibility of photogrammetric area-based image matching technique in the measurement of three-dimensional deflections of structures
Published 2005“…Image correspondence is achieved by using an area-based image matching which makes use of simple surface models. …”
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Foreground segmentation-based human detection with shadow removal
Published 2010“…The experimental result proves its validity and accuracy in various fixed outdoor and indoor video scenes.…”
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Development of an explainable machine learning model for predicting depression in adults with type 2 diabetes mellitus: a cross-sectional SHAP-based analysis of NHANES 2009-2023
Published 2026“…The XGBoost model demonstrated the highest discriminative ability, with a validation area under the receiver operating characteristic curve of 0.888, accuracy of 0.834, F1-score of 0.715, sensitivity of 0.577, and specificity of 0.979, surpassing the performance of the other algorithms evaluated. …”
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Effectiveness of simple terminological ontology to support document retrieval in a specialized domain / Seyed Abolfazle Moosavifar
Published 2014“…The research objectives are structured to introduce new algorithms for ontology-based automatic annotation, retrieval and ranking of documents and to check on the reliability of WordNet to provide lexical support for the (simple terminological) ontology-based document retrieval. …”
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Spatial Simulation for Flood Disaster Forecasting: A Geospatial Technology-based Group Analytic Hierarchy Process Approach
Published 2013“…The result was further integrated into GIS system for spatial simulation of the likely flood areas. In validating the robustness of the result, known Flood Extent Extraction Model developed based on a Neural Network Algorithm embedded in ENVI 4.8 software was used. …”
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Associated Factors of Cardiovascular Diseases in Pakistan: Assessment of Path Analyses Using Warp Partial Least Squares Estimation
Published 2020“…Warp partial least squares (PLS) based on warp 3 algorithm was used to estimate the simultaneous linear and non-linear path coefficients of the proposed model of study. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System
Published 2008“…The simulation algorithms of the rainfall-runoff model have operated on grid bases compatible with the MATLAB programming language, which has been used to write instructions to many grid-based operations. …”
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12
An automatic domain independent schema matching in integrating schemas of heterogeneous relational databases
Published 2014“…There are several semi-automatic schema matching algorithms, however these algorithms do not exploit most of the available information related to schemas during the process of schema matching which affects on the accuracy of schema matching result. …”
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Fuzzy Systems and Bat Algorithm for Exergy Modeling in a Gas Turbine Generator
Published 2011“…The fuzzy models are trained applying locally linear model tree algorithm followed by a meta-heuristic nature inspired algorithm called bat algorithm. …”
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Prediction of football club winning rate using Bayesian model algorithm / Adam Khairul Anuar
Published 2023“…In essence, this research contributes to football analytics, offering a reliable Bayesian model for match outcome prediction.…”
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Impact of external forces on the quality of digital elevation model derived from drone technology
Published 2019“…Then flew the drone to capture photos of the study area at seven different altitudes (100m, 150m, 200m, 250m, 350m, 400m, and 500m). An image-matching algorithm was used to process the photos. …”
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Risk perception modeling based on physiological and emotional responses / Ding Huizhe
Published 2024“…However, when risk degrees were closely matched, the integrated model with weight adjustments based on base models outperformed ANN. …”
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A review on the graphical user authentication algorithm : recognition-based and recall-based.
Published 2013“…User authentication has become an important consideration in information security as traditional password-based schemes are constantly subjected to attacks. …”
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Modeling and Validation of Engine Cylinder Pressure During Starting of Free-Piston Linear Generator by Brushless Motor Commutation
Published 2023“…This paper describes mechanical modeling of a specific configuration of free-piston linear engine-generator (FPLG) during starting, by brushless commutation of linear motor.To account for piston blow-by, or air leakage through piston rings at low starting speeds, the model incorporates an air mass transfer algorithm for the air compression-expansion process in the engine cylinders.The model is verified with experimental data.Pressure profiles obtained during experimental validation of the FPLG are discussed, for different motoring conditions.The improved model shows a reduction of 28 in compression pressure compared to the ideal case.In single-stroke tests, the airflow corrective factor value of C = 3.7 Ã� 10â��7 is found to give the closest profile to experimental pressure for the right cylinder and C = 5.5 Ã� 10â��7 for the left cylinder, while C = 4.1 Ã� 10â��7 best matches the data of cyclic motoring tests.Results show that by increasing motoring voltage, the pistonâ��s amplitude remains unchanged, since increasing motoring energy leads to better compression-expansion process, more effective air spring and a pressure profile closer to the lossless system. …”
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Hybrid Artificial Bees Colony algorithms for optimizing carbon nanotubes characteristics
Published 2018“…Chemical Vapor Deposition (CVD) is the most efficient method for CNTs production.However,using CVD method encounters crucial issues such as customization,time and cost.Therefore,Response Surface Methodology (RSM) is proposed for modeling and the ABC-βHC is proposed for optimization purpose to address such issues.The selected CNTs characteristics are CNTs yield and quality represented by the ratio of the relative intensity of the D and G-bands (ID/IG).Six case studies are generated from collected dataset including four cases of CNTs yield and one case of ID/IG as single objective optimization problems,while the sixth case represents multi-objective problem.The input parameters of each case are a subset from the set of input parameters including reaction temperature,duration,carbon dioxide flow rate,methane partial pressure,catalyst loading,polymer weight and catalyst weight.The models for the first three case studies were mentioned in the original work.RSM is proposed to develop polynomial models for the output responses in the other three cases and to identi significant process parameters and interactions that could affect the CNTs output responses.The developed models are validated using t-test,correlation and pattern matching.The predictive results have a good agreement with the actual experimental data.The models are used as objective functions in optimization techniques.For multi-objective optimization,this study proposes Desirability Function Approach (DFA) to be integrated with other proposed algorithms to form hybrid techniques namely RSM-DFA,ABC-DFA and ABC-βHC-DFA.The proposed algorithms and other selected well-known algorithms are evaluated and compared on their CNTs yield and quality.The optimization results reveal that ABC-βHC and ABC-βHC-DFA obtained significant results in terms of success rate,required time,iterations,and function evaluations number compared to other well-known algorithms.Significantly,the optimization results from this study are better than the results from the original work of the collected dataset.…”
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