Global ETD Search

11	An Enthalpy-Based Micro-scale Model For Evolution Of Equiaxed Dendrites Bhattacharya, Jishnu 03 1900 (has links) (PDF) No description available. Solidification - Modeling Enthalpy Tree Structures Dendrites Metal Solidification Solidification Microstructure Dendritic Solidification Binary Alloy Metallurgy
12	Patient Populations, Clinical Associations, and System Efficiency in Healthcare Delivery System Liu, Yazhuo 01 January 2015 (has links) The efforts to improve health care delivery usually involve studies and analysis of patient populations and healthcare systems. In this dissertation, I present the research conducted in the following areas: identifying patient groups, improving treatments for specific conditions by using statistical as well as data mining techniques, and developing new operation research models to increase system efficiency from the health institutes’ perspective. The results provide better understanding of high risk patient groups, more accuracy in detecting disease’ correlations and practical scheduling tools that consider uncertain operation durations and real-life constraints. Hospital Readmissions Nonlinear Networks Operating Room Scheduling Stochastic Programming Tree Structures Industrial Engineering Medicine and Health Sciences Statistics and Probability
13	Automatizovaná syntéza stromových struktur z reálných dat / Automated Synthesis of Tree Structures from Real Data Želiar, Dušan January 2019 (has links) This masters thesis deals with analysis of tree structure data. The aim of this thesis is to design and implement a tool for automated detection of relation among samples of read data considering their three structure and node values. Output of the tool is a prescription for automated synthesis of data for testing purposes. The tool is a part of Testos platform developed at FIT BUT.
14	Approaches based on tree-structures classifiers to protein fold prediction Mauricio-Sanchez, David, de Andrade Lopes, Alneu, higuihara Juarez Pedro Nelson 08 1900 (has links) El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. / Protein fold recognition is an important task in the biological area. Different machine learning methods such as multiclass classifiers, one-vs-all and ensemble nested dichotomies were applied to this task and, in most of the cases, multiclass approaches were used. In this paper, we compare classifiers organized in tree structures to classify folds. We used a benchmark dataset containing 125 features to predict folds, comparing different supervised methods and achieving 54% of accuracy. An approach related to tree-structure of classifiers obtained better results in comparison with a hierarchical approach. / Revisión por pares Learning systems Protein folding Proteins Trees (mathematics) Benchmark datasets Hierarchical approach Machine learning methods Multi-class classifier Nested dichotomies Protein fold recognition Supervised methods Tree structures
15	A Reporting System for a Device Management Application Svensson, Marcus January 2009 (has links) <p>Device Management Applications are applications which are used to manage software on devices such as mobile phones. OMSI Forum provides such an application which is used to update the software on a phone. Software updates can be done at device management stations placed in stores or other service locations. Whenever a phone's software is updated, information about the update process is stored in a log. These logs can then be analyzed to generate statistics about updates such as the number of successful or failed updates or which faults that are common.</p><p>This master thesis project solves the problem of manually collecting and compiling logs from several stores by making this process automatic. Rather than collecting logs manually, each device management station sends its logs to a centralized server which stores all collected logs in a database. This makes it possible to generate charts and statistics in a simple manner from a web application. This solution makes the analysis more e ective, allowing users to concentrate on analyzing data by removing the work task of collecting logs.</p> Device Management Reporting System OMSI remote reporting remote logging nested set model adjacency list model buckets Enterprise JavaBeans Web Services JBoss MySQL Computer science Datavetenskap Software engineering Programvaruteknik
16	A Reporting System for a Device Management Application Svensson, Marcus January 2009 (has links) Device Management Applications are applications which are used to manage software on devices such as mobile phones. OMSI Forum provides such an application which is used to update the software on a phone. Software updates can be done at device management stations placed in stores or other service locations. Whenever a phone's software is updated, information about the update process is stored in a log. These logs can then be analyzed to generate statistics about updates such as the number of successful or failed updates or which faults that are common. This master thesis project solves the problem of manually collecting and compiling logs from several stores by making this process automatic. Rather than collecting logs manually, each device management station sends its logs to a centralized server which stores all collected logs in a database. This makes it possible to generate charts and statistics in a simple manner from a web application. This solution makes the analysis more e ective, allowing users to concentrate on analyzing data by removing the work task of collecting logs. Device Management Reporting System OMSI remote reporting remote logging nested set model adjacency list model buckets Enterprise JavaBeans Web Services JBoss MySQL Computer Sciences Datavetenskap (datalogi) Software Engineering Programvaruteknik

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