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 50 for “"PREDICTIVE METHODS"”.
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MACHINE LEARNING FOR TEMPORAL HETEROGENEOUS GRAPHS: PREDICTIVE METHODS, INTERPRETABILITY AND APPLICATIONS.
… for designing, evaluating, and interpreting predictive methods for temporal heterogeneous graphs by integrating modeling and tools from network science and graph deep learning. We introduce discrete-time graph learning architectures based on Graph Neural Networks (GNNs) and linear scoring …
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Predictive Methods for the Fire Resistance of Single Skin and Sandwich Composite Materials
Polymer composite materials are becoming increasingly popular in many engineering<br/>structures in the civil, aerospace, marine and automotive industries. The increased<br/>strength and stiffness to weight ratios which are possible with certain types of<br/>composites make them particularly …
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Seismic Slope Stability: A Comparison Study of Empirical Predictive Methods with the Finite Element Method
… in comparison to the results of twelve empirical predictive approaches. First, the existing methods to analyze the stability of slopes subjected to seismic loads are presented and their capabilities to predict the onset of failure and post-failure behavior are discussed. These methods include the …
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Expanding the limits of predictive methods: from supervised learning to novel sensors and massive human supervision
… In this dissertation we first present methods to enhance predictive ability by improving the use of existing data: by constructing feature spaces for human activity recognition and by developing semi-supervised methods for object recognition. We then develop methods for collecting, …
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ΣΥΝΘΕΣΗ ΚΑΙ ΦΑΡΜΑΚΟΧΗΜΙΚΗ ΜΕΛΕΤΗ ΜΕΡΙΚΩΝ ΥΠΟΚΑΤΕΣΤΗΜΕΝΩΝ ΜΟΡΦΟΛΙΝΩΝ ΜΕ ΒΙΟΛΟΓΙΚΟ ΕΝΔΙΑΦΕΡΟΝ
… FOUND AND THE RELIABILITY OF THE PREDICTIVE METHODS IS DISCUSSED. THE LETHAL DOSES (RATS) OF THE MORPHOLINE DERIVATIVES ARE FOUND. THE ANALGESI C ACTIVITY (HOT PLATE) AS WELL AS THE HYPERKINESIA AND STEREOTYPED BEHAVIOUR CAUSED BY THE MORPHOLINE DERIVATIVES IN RATS ARE DETERMINED. …
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Machine learning for problems with missing and uncertain data with applications to personalized medicine
… problems for three widely used classification methods: support vector machines, logistic regression, and decision trees. Through experiments on 75 benchmark data sets, we characterize the learning tasks for which adding robustness provides the most value. In the second chapter, we develop a …
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ΣΥΝΘΕΣΗ ΚΑΙ ΦΑΡΜΑΚΟΧΗΜΙΚΗ ΜΕΛΕΤΗ ΜΕΡΙΚΩΝ ΥΠΟΚΑΤΕΣΤΗΜΕΝΩΝ 2'-ΥΔΡΟΞΥ- ΑΙΘΥΛ-ΑΜΙΝΟ'Η ΔΙΑΜΙΝΟ-ΒΟΥΤΥΡΟ-ΚΕΤΟΝΩΝ ΜΕ ΒΙΟΛΟΓΙΚΟ ΕΝΔΙΑΦΕΡΟΝ
… PARAMETERS AND THE RELIABILITY OF THE PREDICTIVE METHODS ARE DISCUSSED. THE LETHAL DOSES (RATS) OF THE DERIVATIVES ARE FOUND. THE ANTIINFLAMMATORY AND OR IMMUNOSUPPRESSIVE ACTIVITY INVIVO AND IN VITRO HAS BEEN CONDUCTED AND FOR THESE THE ADJUVANT INDUCED DISEASE (ARTHRITIS) AID MODEL …
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Aiding the experts: how artificial intelligence can augment expert evaluation with PathOS+
Within games user research (GUR) predictive methods like expert evaluation are good for getting easy insights on a game in development but may not accurately reflect the player experience. On the other hand, experimental methods like playtesting can accurately capture the player experience but are …
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ΑΞΙΟΛΟΓΗΣΗ ΤΟΥ ΟΡΙΟΥ ΖΩΗΣ ΣΕ ΚΟΠΩΣΗ ΑΕΡΟΠΟΡΙΚΩΝ ΣΥΝΘΕΤΩΝ ΥΛΙΚΩΝ ΜΕ ΤΗ ΜΕΘΟΔΟ ΤΗΣ ΑΚΟΥΣΤΙΚΗΣ ΕΚΠΟΜΠΗΣ
… IN A/C MANUFACTURING THE DEVOLPEMENT OF PREDICTIVE METHODS FOR LIFING STRUCTURAL COMPONENTS IS CONSIDERED OF CARDINAL IMPORTANCE. THE PREVIOUS PHILOSOPHY OF A/C DESIGN "SAFE LIFE" HAS BEEN REPLACED BY ANOTHER DESIGN CONCEPT "DAMAGE TOLERANCE". WITHIN THE OVERALL CONCEPT OF "DAMAGE …
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Dangerous predictions: evaluation methods for and consequences of predicting dangerous behavior
… the “clinical efficiency” of prediction methods as defined by Meehl and Rosen (1955), and present three equivalent conditions for assessing clinical efficiency: (1) a probabilistic inequality from Meehl and Rosen; (2) an equivalent inequality given by Dawes (1962); and (3) a more flexible …
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Cost-Benefit Analysis as Democratic Ritual: The Controversy Over a Proposed Uranium Mining and Milling Project in Virginia (1981-2013)
… featured technical studies utilizing expert predictive methods. I analyze these texts from the perspective of the sociopolitical ritual theory developed in the dissertation and then suggest a set of recommendations regarding how we might humanize and deploy CBA within the context of enhancing …
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Numerical Modelling and Analysis on Structural Behaviour of Composite Slim-Floor Beams
… cross-section) and bending resistance prediction methods (stress block method) with related classifications and limitations were proposed. The validity and accuracy of both the finite element (FE) models and simple predictive methods were verified. In both shear connector and beam studies, the …
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Optimally controlling hybrid electric vehicles using path forecasting
… sets of the modern vehicles suggests that path predictive methods applied to HEVs constitute one of the most promising directions towards the solution of serious problems of our era, such as the energy problem, the increasing cost of oil, and the greenhouse gas emissions. In the current project …
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A probabilistic fracture mechanics model for the tubing degradation of the Koeberg steam generators
… has led to many conflicting conclusions, the predictive methods developed have been more successful. Initially, the establishment of the Leak Before Risk of Break principle has allowed various utilities to justify SG operation with cracked tubes. Later, the development of probabilistic …
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Topography effects in the 1999 Athens earthquake : engineering issues in seismology
… near topographic irregularities, inasmuch as predictive methods are still lacking on the quantitative aspects of seismic amplification near such features. Focusing of seismic rays by convex topographies does play a significant role as shown theoretically, yet it is not the only physical …
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Modelling approaches for rational solvent selection in drug development, enhancing the solubility prediction of small molecules
… the pharmaceutical industry. There are several methods to predict solubility in silico, including: COSMOtherm, NRTL-SAC, UNIFAC, and SAFT-γ Mie.;This work will focus on the use and appraisal of ab initio method COSMOtherm and the application of a "correction factor" using the machine learning …
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Reaching Across the Divide: Tools for Bridging Structural and Viral Genomics Using a Combination of Biophysical Principles and Machine Learning
… current nucleotide and protein databases. New predictive methods are thus necessary to determine the phenotype of viruses. In this work, we leverage the physical geometrical constraints of viruses to quantify the correlation between the geometric and genomic characteristics of tailed phages, …
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Stochastic prediction in sequential high-dimensional observation space
… and complexity of natural images require the predictive model to build an intricate understanding of the natural world. Many existing predictive methods tackle this problem by making simplifying assumptions about the environment. One common assumption is that the outcome is deterministic and …
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Locating the hip joint centre using ultrasonic techniques
… been made. Comparative studies between these methods have shown that the functional methods, which are based on sphere-fitting models, produce more accurate results than the predictive methods that are based on regression equation established from pelvic geometries. The underlying issue with …
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Vapour-liquid equilibrium studies at atmospheric to moderate pressures
… is discussed. Both experimental and prediction methods for obtaining vapour-liquid equilibria data are critically reviewed. The development of a new family of equilibrium stills to measure experimental VLE data from sub-atmosphere to 35 bar pressure is described. Existing experimental techniques …
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