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 357 for “"real-world data"”.
-
An Evaluation of Performance Enhancements to Particle Swarm Optimisation on Real-World Data
… as they search for optimal solutions. In many real-world applications of PSO, the algorithm is used as a data pre-processor for a neural network or similar post processing system, and is often extensively modified to suit the application. The thesis introduces techniques that allow unmodified …
-
Predicting hybrid vehicle fuel economy and emissions with neural network models trained with real world data
… expensive. These models simulate aspects of real-world drive cycles that include the driving environment, thermal management, driver input, and powertrain component behavior. In this study, an alternative method of hybrid vehicle FE simulation is developed by training and testing a time …
-
An investigation of training transfer from strength and conditioning to athletic performance using large-scale evidence synthesis and real-world data.
… of longitudinal S&C research, including data from 643 studies (Chapter 3). The results defined novel context-specific effect size (ES) thresholds for S&C outcomes of strength, power, jumping and sprinting performance, that researchers and practitioners can incorporate for accurate …
-
Πραγματικά δεδομένα σχετικά με τις μεταλλάξεις ESR1 και την αποτελεσματικότητα του elacestrant σε ασθενείς με μεταστατικό HR(+), HER2(-) καρκίνο του μαστού: εμπειρία ενός μόνο κέντρου και ανασκόπηση της βιβλιογραφίας / Real world data regarding ESR1 mutations and efficacy of elacestrant in metastatic HR(+), HER2(-) BC patients: a single center experience and review of literature
Ο HR(+)/HER2(-) μεταστατικός καρκίνος του μαστού αποτελεί τον συχνότερο υπότυπο της νόσου και χαρακτηρίζεται από αρχική ευαισθησία στην ενδοκρινική θεραπεία, η οποία όμως συχνά περιορίζεται λόγω ανάπτυξης αντοχής. Ένας από τους σημαντικότερους μηχανισμούς ενδοκρινικής αντοχής είναι οι μεταλλάξεις …
-
Πραγματικά δεδομένα σχετικά με τις μεταλλάξεις Pi3k σε ασθενείς με μεταστατικό HR(+), HER2(-) καρκίνο του μαστού: ανασκόπηση της βιβλιογραφίας από ένα μόνο κέντρο σχετικά με την αποτελεσματικότητα του inavolisib/capivasertib / Real world data regarding Pi3k mutations in metastatic HR(+), HER2(-) BC patients: a single center experience review of literature regarding the efficacy of inavolisib/capivasertib
Το μονοπάτι σηματοδότησης PIK3CA/AKT1/PTEN διαδραματίζει καθοριστικό ρόλο στον κυτταρικό πολλαπλασιασμό, τον μεταβολισμό, την επιβίωση και την απόπτωση. Σε ασθενείς με HR+/HER2- καρκίνο του μαστού αποτελεί το συχνότερα απορρυθμισμένο σηματοδοτικό μονοπάτι και έχει συσχετιστεί με την ανάπτυξη …
-
Perturbation stability for approximate MAP inference
… their approximation ratios, are commonplace. On real-world data, however, these algorithms far outperform their worst-case guarantees, often returning solutions that are extremely close to optimal. This thesis asks, and partially answers, the question: "What structure is present in real-world …
-
On Identifying Critical Nuggets Of Information During Classification Task
In large databases, there may exist critical nuggets - small collections of records or instances that contain domain-specific important information. This information can be used for future decision making such as labeling of critical, unlabeled data records and improving classification results by …
-
Learned Interpolation for Better Streaming Quantiles with Worst Case Guarantees
… achieves much better approximations than KLL on real-world data but is known to have arbitrarily large errors in the worst case. We apply interpolation techniques to the streaming quantiles problem to attempt to achieve better approximations on real-world data sets than KLL while maintaining …
-
Generalized multi-peaked model of electoral preferences
… procedure. Nevertheless, the analysis of real-world data routinely argues against these theoretical predictions: the outcomes of aggregation procedures in real-world data sets agree remarkably well. This contradiction has puzzled researchers for decades. To solve this puzzle I propose a …
-
RGB-D Likelihood for 3D Inverse Graphics
… modeling the gap between 3D graphics and real-world data. We propose a novel 3D Neural Embedding Likelihood (3DNEL) over RGB-D images to address this gap. 3DNEL uses neural embeddings to predict 2D-3D correspondences from RGB and combines this with depth in a principled manner. 3DNEL is …
-
Fuzzy Decision Support Applied to Machine Maintenance
… poor accuracy of forecasting in comparison with real world data. The uncertainty of real world data leads to the use of type-1 fuzzy sets, type-2 fuzzy sets, fuzzy decision tree and fuzzy time-series for fuzzy data-mining - to which they are applied for the look-ahead based interval-valued fuzzy …
-
Robust model selection and outlier detection in linear regressions
… detection in linear regression. The results of data analysis based on linear regressions are highly sensitive to model choice and the existence of outliers in the data. This thesis aims to help researchers to choose the correct model when their data could be contaminated with outliers, to detect …
-
Identifying data conditions to enhance subscale score accuracy based on various psychometric models
… scoring seems to fluctuate under different data conditions. The current study seeks the optimal data conditions for maximizing reliability or accuracy of subscale scores using CTT- and IRT-based methods. Both real-world data and simulation data are used to compute subscale scores, and their …
-
Integer Programming Heuristics for Large Capital Budgeting Problems
… randomized complete block experiments using real world data from the 1968/69 Nigerian national development plan.
-
Social determinants of health in patients with congenital rare disease
… multi-method framework that combined large-scale real-world inpatient data with an exploratory patient-reported outcomes pilot.The primary analyses used Oracle Real-World Data® to identify adult inpatient encounters. In fully adjusted mortality models, rare encounter status were independently …
-
Bayesian estimation of self-similarity exponent
… subject in various fields and disciplines. Real-world data exhibiting self-similar behavior and/or parametrized by self-similarity exponent (in particular Hurst exponent) have been collected in different fields ranging from finance and human sciencies to hydrologic and traffic networks. Such …
-
Toward AI-augmented data analysis: challenges and opportunities
Real-world data analysis remains challenging for many users, especially domain experts, because it involves heterogeneous data formats, complex multi-step processing pipelines, and deep technical expertise. Although recent advances in large language models have motivated systems for natural …
-
The implementation of a disambiguation marching cubes algorithm
… described and implemented. Finally, generated data from mathematical functions and real world data from scientific experiment are used to test the original marching cubes algorithm and the disambiguation algorithm.</p>
-
Efficient MCMC inference for remote sensing of emission sources
… emitters from remotely obtained concentration data. For example, consider estimating the volume of some pollutant that a chemical refinery releases into the atmosphere from measurements of pollutant concentrations. Previous methods assume a known number of emitters, low ambient concentrations, …
Page 1 of 18