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 58 for “"Prediction Tools."”.
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Evaluating the predictive performance of cytotoxic T lymphocyte epitope prediction tools using Elispot assay data
Computational T-cell epitope prediction tools have been previously devised to predict potential human leukocyte antigen (HLA) binding peptides from protein sequences. These tools are complements of Enzyme-linked immunosorbent spot (ELISpot) assays - a very commonly applied immunological technique …
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Optimising Cardiovascular Disease Risk Assessment: Application of Dynamic Prediction Tools and Risk Stratification Strategies Using Electronic Health Records
… purpose, numerous prognostic cardiovascular risk prediction models have been developed in populations from different regions over the past two decades. However, there are limitations of existing risk prediction models. First, they are mostly based on single measurements of risk factors and there …
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Evaluating the Performance of in Silico Predictive Models on Detecting Splice-altering Variants
… step, we evaluated the ability of in silico prediction tools to predict whether a given variant will disrupt splicing. Top performing tools were then used to predict splicing disruption for two sets of variants in the genome; one data set contained variants located anywhere in an exon, and …
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Vibrations in Lightweight Buildings - Perception and Prediction
… vibrations, and the development of numerical prediction tools for the verification of vibratory and acoustic performance before a building is actually put up. The appended publications Paper A and Paper B, aimed at supplementing the lack of existing studies addressing human response to floor …
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Portfolio Optimization Using a Hybrid Machine Learning Stock Selection Model
… in machine learning, there are significant prediction tools available that can be applied to portfolio selection. Financial markets are known to be dynamic and complex, but algorithms are designed to capture patterns in the data. In this paper, seven machine learning techniques are used for …
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GIS and Satellite Visibility: Viewsheds from Space
… line of sight. Current satellite availability prediction tools perform satellite visibility predictions without considering terrain or structures that block GPS signals, a major issue in mountainous and urban areas. This paper describes a new Geographic Information Systems (GIS) tool, a …
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A Framework for Simplified Residential Energy Consumption Assessment towards Developing Performance Prediction Models for Retrofit Decision-Making
… the foundation towards the development of prediction tools that can achieve a credible level of accuracy for confident decision making. The energy consumption assessment is based on simplified energy consumption models. The energy consumption analysis uses a reduced number of energy model …
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A universal outbreak risk prediction tool
… of pandemic outbreaks is a necessary. Existing prediction tools include machine learning-based tools and mathematical tools, which do not use machine learning. They both have disadvantages and advantages. My research goal is to develop an ideal outbreak prediction tool that has all the …
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A Data-Driven Approach to Improve Optical Fiber Manufacturing: Focus on Core Deposition
… some great potential for the development of prediction tools which could help design the optimized production line. An underlying objective is to support Sterlite Technologies Limited in using data-driven approach applied to process control for its plant in Waluj and Shendra starting by …
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A Wave Propagation Approach for Prediction of Tire-Pavement Interaction Noise
… within 500-1500 Hz. However, accurate prediction tools within this frequency range are not available. Current methods rely on structural modeling of the complete tire using finite elements and modal expansion approaches that are accurate only at low frequencies. Therefore, alternative …
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Whole-exome sequencing variant prioritization in individuals with tense and agreement marking deficit— a clinical marker of specific language impairment
… Evidence at the family-level, from bioinformatic prediction tools, and brain expression databases indicate the prioritized genes are strong targets for future functional investigation to better understand their possible role in language acquisition and impairment.
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Application of GIS in propagation prediction
… information system (GIS) in propagation prediction. The motivating force behind this work is the need for accurate and efficient site-specific propagation prediction tools for personal communication system (PCS) design. Site-specific information including terrain and building attributes …
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A robust machine learning approach for the prediction of allosteric binding sites
… protocol is presented for the prediction of allosteric sites. Previous attempts to predict the location of allosteric sites by computational means drew on only a small amount of data. Moreover, no attempt was made to modify the initial crystal structure beyond the in silico …
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Molecular genetics of arrhythmogenic right ventricular and dilated cardiomyopathy in South Africans
… onset ARVC. To all novel variants identified prediction tools were used to predict the pathogenicity of the variant in uestion. Results: 21.5% of ARVC pro bands had a disease-causing mutation in one of four desmosomal genes; no disease-causing mutation was found in the 112 OCM index cases. A …
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Experimental study and numerical modelling of woven fabric kenaf fiber composites hybrid adhesively bonded-bolted joints
… studies on structures response and strength prediction work on hybrid joints that limits its applicability. The aim of present study is to conduct experimental datasets on woven fabric kenaf fiber reinforced polymer (KFRP) and carbon fiber reinforced polymer (CFRP) composite hybrid joints …
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Visualising convective heat transfer in a propagating wildland fire
… human activity into wildland areas. Accurate prediction of fire behaviour is essential for mitigation strategies and emergency response. While radiative heat transfer has traditionally been emphasized in bushfire modelling, recent studies reveal the significant role of convective heat …
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Validation, Calibration, and Uncertainty Quantification of the Wofost Crop Simulation Model
… decisions about crop management via better prediction tools. The absence of large, comprehensive, and structured agricultural data, however, limits the performance of these predictions. To address this problem, we propose a Data Platform that aggregates data from a variety of publicly …
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THE ROLE OF CORONAVIRUS - HOST CELL MEMBRANE INTERACTIONS DURING VIRAL ENTRY AS MEDIATED BY CONSERVED REGIONS OF THE FUSION PEPTIDE
… antivirals, vaccines and screening or prediction tools. This work advances our fundamental understanding of coronavirus biology and supports the long-term goal of pandemic preparedness.
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Die flächenhafte Ausbreitung der Flutwelle nach Versagen von Hochwasserschutzeinrichtungen an Fließgewässern
… quantifiable to draw on for a reliable prediction of the flooding depths and velocities.To remedy this deficiency a physical model was designed, in which detailed measurements were carried out. In a series of tests the initial water depth, the initial discharge in the inflow channel and …
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Physics-based aeroacoustic modelling of bluff-bodies
… an improved understanding of landing gear noise prediction tools. A computational approach was adopted so that the noise generating physics of the problem could be captured. Governing laws were solved numerically to predict the noise source characteristics and the resulting acoustic far-field. …
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