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Dissertations / Theses on the topic 'Public datasets'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Van, Koten Chikako, and n/a. "Bayesian statistical models for predicting software effort using small datasets." University of Otago. Department of Information Science, 2007. http://adt.otago.ac.nz./public/adt-NZDU20071009.120134.

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The need of today�s society for new technology has resulted in the development of a growing number of software systems. Developing a software system is a complex endeavour that requires a large amount of time. This amount of time is referred to as software development effort. Software development effort is the sum of hours spent by all individuals involved. Therefore, it is not equal to the duration of the development. Accurate prediction of the effort at an early stage of development is an important factor in the successful completion of a software system, since it enables the developing or

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2

Ogeh, Denye Nathaniel. "Exploiting public human genome NGS datasets to characterize repetitive DNA and recover assembly gaps." Thesis, University of Leicester, 2018. http://hdl.handle.net/2381/42494.

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With the advent of Next Generation Sequencing (NGS), we have witnessed the generation of enormous volumes of short read sequence data, cheaply and on short time scales. Nevertheless, the quality of genome assemblies generated using NGS technologies has been greatly affected by this innovation, compared to those generated using Sanger DNA sequencing. This is largely due to the inability of short read sequence data alone to scaffold repetitive structures, creating gaps, inversions and rearrangements and ultimately resulting in assemblies that are, at best, draft forms (by draft we mean, assembly

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3

Stewart, Catherine Helen. "Multilevel modelling of event history data : comparing methods appropriate for large datasets." Thesis, University of Glasgow, 2010. http://theses.gla.ac.uk/2007/.

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Abstract When analysing medical or public health datasets, it may often be of interest to measure the time until a particular pre-defined event occurs, such as death from some disease. As it is known that the health status of individuals living within the same area tends to be more similar than for individuals from different areas, event times of individuals from the same area may be correlated. As a result, multilevel models must be used to account for the clustering of individuals within the same geographical location. When the outcome is time until some event, multilevel event history model

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4

Adu-Prah, Samuel. "GEOGRAPHIC DATA MINING AND GEOVISUALIZATION FOR UNDERSTANDING ENVIRONMENTAL AND PUBLIC HEALTH DATA." OpenSIUC, 2013. https://opensiuc.lib.siu.edu/dissertations/657.

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Within the theoretical framework of this study it is recognized that a very large amount of real-world facts and geospatial data are collected and stored. Decision makers cannot consider all the available disparate raw facts and data. Problem-specific variables, including complex geographic identifiers have to be selected from this data and be validated. The problems associated with environmental- and public-health data are that (1) geospatial components of the data are not considered in analysis and decision making process, (2) meaningful geospatial patterns and clusters are often overlooked,

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5

Chadborn, T. R. "The integration of independent national HIV surveillance datasets and application of statistical methods to enhance their public health utility." Thesis, University College London (University of London), 2012. http://discovery.ucl.ac.uk/1388038/.

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The aims of this thesis were two-fold. Firstly, to develop a robust method to create a fully integrated, national surveillance dataset for human immunodeficiency virus (HIV) infections by linking records from three independent, national HIV case reporting systems. Secondly, to apply statistical techniques, more commonly used in cohort study research, to the integrated dataset to yield more of the potential from the constituent information and increase the public health utility of the data. This demonstrated that an integrated dataset can reduce missing information in each surveillance system a

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6

Guerrero, Miguel Arango, and Pedro Shiguihara Juárez. "A Novel Dataset for the Transport Sector in a Province of Peru." Smart Innovation, Systems and Technologies, 2021. http://hdl.handle.net/10757/653801.

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El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.<br>Problems related to public transport and private transport in Peru are persistent. New proposals to solve them arise, currently the world of data analysis is starting in Peru, there are not many open datasets useful that allow proposing solutions in each environment. In this paper, we will collect relevant data of the transport located in a province of Peru with more than 1000 users involved, restricted by a delimited geographic area and with 2

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7

Cristino, Luca. "Economia del debito e crisi finanziaria: rappresentazioni delle strutture emergenti attraverso network analysis su datasets pubblici." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3174/.

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8

Marsigli, Maximiliano. "Pattern anticipi e ritardi del trasporto pubblico: un'applicazione di data visualization su dataset reali." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8373/.

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9

Maginnity, Joseph D. "Comparing the Uses and Classification Accuracy of Logistic and Random Forest Models on an Adolescent Tobacco Use Dataset." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1586997693789325.

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10

Leo, Stephen. "Potential of remote and proximal sensing, publicly available datasets and machine learning for site-specific management in Australian irrigated cotton systems." Thesis, Queensland University of Technology, 2022. https://eprints.qut.edu.au/235383/1/Stephen%2BLeo%2BThesis%281%29.pdf.

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Agricultural fields are inherently variable across both space and time but are commonly managed uniformly. Uniform management can simultaneously lead to an under and over-application of resources (e.g. fertiliser) within the same field, resulting in poor resource efficiency and reduced profit margins. This research demonstrated the potential of publicly available datasets (i.e. remote sensing, digital soil maps, weather), machine learning techniques and crop models to inform management at a sub-paddock scale. These findings will help provide a cost-effective and efficient approach to improving

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11

Meléndez, Catalán Blai. "Relative music loudness estimation in TV broadcast audio using deep learning: an industrial perspective." Doctoral thesis, Universitat Pompeu Fabra, 2021. http://hdl.handle.net/10803/671425.

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Under the current copyright management business model, broadcasters are taxed by the corresponding copyright management organization according to the percentage of music they broadcast, and the collected money is then distributed among the copyright holders of that music. In the specific case of TV broadcasts, whether a musical piece is played in the foreground or the background is often a relevant factor that affects the amount of money collected and distributed. In recent years, the music industry is increasingly adopting technological solutions to automatize this process. We have conducted

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12

Lee, Chia-Yi, and 李佳怡. "Investigating the Hybrid Models of Decision Tree, Logistic Regression and Artificial Neural Network for Predicting Recurrence of Breast Cancer from Public Microarray Datasets." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/72125064198285323874.

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13

Slade, S. V., Christopher J. Davey, and D. Shickle. "Can data in optometric practice be used to provide an evidence base for ophthalmic public health?" 2016. http://hdl.handle.net/10454/8721.

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Yes<br>Purpose: The purpose of this paper is to investigate the potential of using primary care optometry data to support ophthalmic public health, research and policy making. Methods: Suppliers of optometric electronic patient record systems (EPRs) were interviewed to gather information about the data present in commercial software programmes and the feasibility of data extraction. Researchers were presented with a list of metrics that might be included in an optometric practice dataset via a survey circulated by email to 102 researchers known to have an interest in eye health. Respon

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14

Bazarganigilani, Mahdi. "Association of Hospital Workload Indicators with Adverse Events: A Retrospective Analysis of Hospital Episode Data." Thesis, 2017. https://vuir.vu.edu.au/32616/.

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The high prevalence of Adverse Events (AEs) in Australian hospitals and their effects on patient outcomes is a major concern among healthcare service organizations and authorities. The contributing factors which exacerbate this situation, such as the effect of intensified hospital workload on AEs have not been adequately examined in the previous literature. The few studies that have concentrated on the association of hospital workload with AEs have methodological drawbacks due to insufficient numbers of Hospital Workload Indicators (HWIs) employed and the limitation of dimensions that include

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15

Minja, Emmanuel Japhet Risser Jan Mary Hale Schroder Gene D. Dunn Judith Kay. "Racial disparities in CD4 counts at initial HIV-1 diagnosis : analysis of the Adult Spectrum of HIV disease dataset and public health implications." 2008. http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1450342.

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16

"An evaluation of random coefficients analysis and generalized estimating equations analysis using a longitudinal dataset with application to child growth development study." Tulane University, 2008.

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