Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 43 for “"Hybrid Methods"”.
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Hybrid Methods for Feature Selection
… set of features. In this study, we propose two hybrid methods for feature selection. The best features are selected through either the hybrid methods or existing feature selection methods. Next, the reduced dataset is used to build classification models using five classifiers. The classification …
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Hybrid Methods for Inverse Aerodynamic Design
In this thesis, the hybrid approach has been applied to the development of inverse methods for the design of (1) multi-element airfoils for multipoint velocity and boundary-layer prescriptions and (2) airfoils to obtain desired multipoint velocity distributions on three-dimensional wings and …
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RNA secondary structure prediction using hybrid methods
This work presents a novel two-stage framework for RNA secondary structure prediction, introducing deep learning models that address local substructure prediction and global structure assembly. Drawing insights from RNA folding kinetics, the stage-1 (S1) model proposes local substructures as …
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Multiscale Modeling of friction Mechanisms with Hybrid Methods
… economics and environmental impact. Then, the hybrid numerical methods of Newtonian particle dynamics and finite element method have been introduced, and the rules to bridge these two methods also have been discussed for solid material that assumes the forces and displacements are continuous at …
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Applicability of hybrid methods in engine control system design
… off-line model predictive control and level set methods have been applied to the challenges of engine management for diesel exhaust aftertreatment. Theoretical work has been supported by experiments carried out in a diesel engine test cell. A control relevant air-path model was developed using …
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High-order hybrid methods using Green's functions and finite elements
… computations with finite element (FE) methods to alleviate their computational challenges while enhancing the representation capability of standard FE solutions on structured or semi-structured meshes. Two main areas of application are considered: a new finite-element-based method for …
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Evolutionary and genetic strategies for topology optimization of frameworks: pareto-comparisons and hybrid methods
… and cost-effective topology optimization methods for framework structures. The first part of the thesis concentrates on the assessment of the effectiveness of the Evolutionary Structural Optimization (ESO) method of designing frameworks. This method is critically examined by studying the …
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MULTI-MODEL ALGORITHMS FOR OPTIMIZATION (TRUST REGIONS, NONLINEAR LEAST SQUARES, SECANT, HYBRID METHODS, MODEL SWITCHING)
… NL2SOL of Dennis, Gay and Welsch and the hybrid algorithms of Al-Baali and Fletcher has proven highly effective in practice. Although not explicitly formulated as multi-model methods, many other algorithms implicitly perform a model switch under certain circumstances (e.g., resetting a …
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Application of localized hybrid methods of stress analysis to some problems in the mechanics of composites
… analysis, is presented. In this localized hybrid method, the displacement fields which the moire experiments provide in some local regions of interest are used as input data for finite element stress analyses. Two important and controversial problems in the mechanics of composites are …
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On the Use of Arnoldi and Golub-Kahan Bases to Solve Nonsymmetric Ill-Posed Inverse Problems
Iterative Krylov subspace methods have proven to be efficient tools for solving linear systems of equations. In the context of ill-posed inverse problems, they tend to exhibit semiconvergence behavior making it difficult detect ``inverted noise" and stop iterations before solutions become …
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Hybrid synthesis method for mass exchange networks
… insight, and mathematical programming. Hybrid methods where two or all of the synthesis methods are combined are now becoming used, taking advantage of the combined strength of the individual techniques. In this thesis the option of combining pinch analysis (a physical and thermodynamic …
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Impact of COVID-19 on the use of project management methods, tools, and techniques in the construction sector in the Auckland region, New Zealand
… strategies. This research employed qualitative methods, using ten semi-structured interviews conducted with participants selected through probability purposive sampling, specifically targeting project managers and construction professionals. Thematic analysis identified six themes and 23 …
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Hybrid explicit-implicit FDTD-FEM time-domain solver for electromagnetic problems
… Maxwell's electromagnetic equations. FDTD-FEM hybrid methods opt for combining the advantages of both FDTD and FEM. In this dissertation, signal processing techniques were used to analyze the FDTD stability condition. A procedure, which reduces time-sampling error yet preserves the stability of …
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GOGO: An Improved Algorithm to Measure the Semantic Similarity Between Gene Ontology Terms
… advantages of both information-content-based and hybrid methods, such as Resnik’s and Wang’s methods. Moreover, GOGO is relatively fast and does not need to calculate information content (IC) from a large gene annotation corpus but still has the advantage of using IC. This is achieved by …
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Changing Space: A Practice-Led Enquiry into Representations of the Urban
… of post-industrial urban space. My printmaking methods revealed parallel actions, techniques, and material qualities that reference aspects of the post-industrial city such as structure/dematerialisation, complexity, simultaneity, and the transition from the physical to the virtual. New tools, …
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Changing Space: A Practice-Led Enquiry into Representations of the Urban
… of post-industrial urban space. My printmaking methods revealed parallel actions, techniques, and material qualities that reference aspects of the post-industrial city such as structure/dematerialisation, complexity, simultaneity, and the transition from the physical to the virtual. New tools, …
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Structural analyses of the ribosome by hybrid approach
… prevents our understanding of the ribosome. A hybrid approach overcomes the challenge by combining experimental data from X-ray crystallography and cryo-electron microscopy with computing, permitting one to resolve atomic-level structures of intermediates of the functional ribosome and, …
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Machine Learning Approach to Forecast Global Solar Radiation Time Series
… aiming to discuss the advantages of using hybrid methods on the context of SG.
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Phenotype prediction and feature selection in genome-wide association studies
… evaluated for performance on test data. Three methods are used to rank SNPs by their correlation with the phenotype: the univariate Wald test, a multivariate, support vector machine (SVM) based technique, and a hybrid method where a subset of top ranked SNPs from the Wald test are used to train …
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A methodology for the selection of a paradigm of reasoning under uncertainty in expert system development
… are considered, including numeric, symbolic and hybrid methods. Considerably more information is found in the literature on numeric methods, than the latter two. Methods that have been proposed for comparing UMTs are studied and comparisons reported in the literature are summarised. Again this …
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