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.
Results
Showing 1 to 20 of 45 for “"Computational methodologies"”.
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New Computational Methodologies for Microstructure Quantification
… images. This offers a substantial benefit for computational time since image data is converted to numeric values. The goal of quantifying the image data is to help index grains based on their crystallographic orientation. Additionally, individual grains are isolated in order to investigate the …
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Computational Methodologies for the Simulation and Analysis of Low-frequency Vibrations in Molecular Crystals
… However, with the many software packages and methodologies available, it can be difficult to select the most suitable model for the problem at hand without prior knowledge. A promising approach for evaluating the performance of solid-state models is the comparison of the simulations to …
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Computational methodologies and resources for discovery of phosphorylation regulation and function in cellular networks
Post-translational modifications (PTMs) regulate cellular signaling networks by modifying activity, localization, turnover and other characteristics of proteins in the cell. For example, signaling in receptor tyrosine kinase (RTK) networks, such as those downstream of epidermal growth factor …
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Toward Structural and Functional Predictions from Biological Sequences
… of sequencing data, demanding innovations in computational algorithm for better interpretation. I developed computational methodologies to understand the biological sequences in various levels. In the primary sequence level, I analyzed the evolutionary information encoded in protein families …
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Dalla Sardegna all’Oceano Indiano: il corallo nelle reti di scambio globale ispano-genovesi (secc. XVI-XVIII)
… historiocal research methods with the use of computational methodologies and tools to process informational data extracted from different types of documentary sources gathered from local, national, and international archives.
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Using heterogeneous Graph Neural Networks(hGNN) to predict cell-cell communication
This thesis investigates diverse computational methodologies for modeling cellular interactions using single-cell RNA sequencing (scRNA-seq) data. We evaluate the performance of Graph Neural Networks (GNNs) both with and without gene-gene edges, Contrastive Learning, and Variational Autoencoders …
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DEVELOPMENT OF VIRTUAL SCREENING METHODOLOGIES FOR IDENTIFYING RNA-BASED THERAPIES
This thesis focuses on the development of computational methodologies for predicting protein-RNA binding affinities and designing RNA sequences with specific functional outcomes. The research introduces PANTHER (Protein-Affinity for Nucleic Target-binding, Hybridization, and Energy Regression), a …
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Modeling and trading the Greek stock market with artificial intelligence models
… for this thesis is to introduce some new methodologies for the prediction of the directional movement of financial assets with an application to the ASE20 Greek stock index. Specifically, we use some alternative computational methodologies named Evolutionary Support Vector Machine (ESVM), …
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A framework for large-scale dynamic social network analysis with application to key actor analysis
… Many current works focus on designing efficient computational tools (data structures and software libraries) to deal with the large-scale nature of these networks. These social network analysis (SNA) methodologies are essential for extracting meaningful insights from the complex web of …
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Strategies to integrate design and fabrication through discretisation.
… integration of digital discretisation and computational methodologies within architectural design and practice. By delving into advanced computational tools, it articulates a new paradigm where architectural form and function transcend traditional limitations through adaptability, …
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Simulation of lipid membrane models at coarse-grained resolution Towards novel methodologies with improved capabilities
This thesis develops computational methodologies for simulating biological membranes at coarse-grained (CG) resolution, combining well-established modeling strategies with recent advances in machine learning. It presents an optimized set of lipid representations and parameters for the Martini 3 CG …
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How do metalloenzymes propagate and control chemical reactions?
… reaction control strategy. Both experimental and computational methodologies have been employed in order to identify specific residues or features which contribute to each enzyme's ability to control the reaction. Emphasis is made on special properties of the metal Manganese. Controlling residues …
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Floating-gate-programmable and reconfigurable, digital and mixed-signal systems
… solutions to difficult problems. Various computational methodologies are used simultaneously to solve problems by mapping pieces of them to the appropriate type of computer. There exists no systematic approach to simultaneously apply analog, digital, and neuromorphic techniques to solving …
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Computational optimization of phase change materials on adsorbed carbon dioxide capture systems
… a storage vessel which are presented in reduced computational form. This study reviews the thermofluidic characteristics of selected adsorbents for pairing with phase change materials to be incorporated into sorbent cycling devices, with a discussion of the state of the industry adsorption …
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Spatial Computing for Building Performance and Design
… construction, the dissertation proposes a new computational design framework to investigate how building performance from an environmental and user perspective relates to spatial design. The dissertation surveys existing computational methodologies for design automation and identifies new …
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Untangling the complexity of nature: Machine-learning for accelerated life-sciences
… the genome. Broadly, this work demonstrates how computational approaches can overcome unique challenges in biological data and how biological problems can drive advances of computational methodologies.
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Catalytic Conversion of Carbon-Containing Compounds into Valuable Chemicals and Fuels
… carbon dioxide hydrogenation. We developed three computational methodologies to study these processes across a range of length and time scales. First, we investigated how electronic structure affects the properties and reactivity of these catalyst systems; by computing the partial electronic …
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Artificial neural networks for cardiovascular risk, cardiovascular fitness and ankle-brachial index
… Neural Networks are biologically inspired computational methodologies that can perfom multifactorial analyses. In recent years, they have been evaluated for medical decision support, with varying degrees of success. The preliminary part of my thesis deals with evaluating whether an …
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Computational Approaches to Delineate Transcriptional and Functional Heterogeneity In Pancreatic Cancer
… functional genomics, we have sought to establish computational methodologies to aid in refined target discovery, and to develop a novel platform to comprehensively characterize the transcriptional heterogeneity of PDAC. Specifically, focusing on a large PDAC PDX cohort, we focused on a) …
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Developing fuel management capabilities based on coupled Monte Carlo depletion in support of the MIT Research Reactor (MITR) conversion
… is easy to use and is based on state-of-the-art computational methodologies. A wrapper was written that enables fuel management operations to be modeled using MCODE, a code developed at MIT that couples MCNP to the point-depletion code ORIGEN. To explicitly model the movement of the control …
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