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Relevant bibliographies by topics / Dataset IMPACT / Dissertations / Theses

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Dissertations / Theses on the topic 'Dataset IMPACT'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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1

Kvist, Eric, and Rhodin Sandro Lockvall. "A comparative study between MLP and CNN for noise reduction on images : The impact of different input dataset sizes and the impact of different types of noise on performance." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-259654.

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Images damaged by noise present a problem that can be addressed by performing noise-reduction using neural networks. This thesis analyses the performance of two different neural networks, a Mulilayer Perceptron (MLP) and a Convolutional Neural Network (CNN), when performing noise reduction on images. Specifically focusing on the impact of the size of dataset used to train the two different kinds of neural networks has on the performance, as well as how well these two networks perform when reducing different types of noise. This in an attempt to determine whether the use of the more modern type

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2

Kim, Kyoung Tae. "The Impact of the 2007 Recession on the Retirement Decisions of U.S. Households: Evidence from the 2007-2009 Survey of Consumer Finances Panel Dataset." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1406072629.

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3

Kohút, Jan. "Aktivní učení pro rozpoznávání textu." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403210.

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The aim of this Master's thesis is to design methods of active learning and to experiment with datasets of historical documents. A large and diverse dataset IMPACT of more than one million lines is used for experiments. I am using neural networks to check the readability of lines and correctness of their annotations. Firstly, I compare architectures of convolutional and recurrent neural networks with bidirectional LSTM layer. Next, I study different ways of learning neural networks using methods of active learning. Mainly I use active learning to adapt neural networks to documents that the neu

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4

Cohen, Raviv. "Impact of caricature-based datasets on demographic inference." Thesis, McGill University, 2013. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=117195.

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The widespread adoption of social networking platforms has generated interest in studying groups of users. Interest in the composition of groups has led to the development of methods to infer demographic attributes of participants such as such as age, ethnicity, and political orientation. While all demographic inference methods report excellent performance, there is a concern that this is the product of the way the dataset was constructed and not just the methods accuracy. In our research we observed an overemphasis on classifying users that exhibit easy-to-classify traits ; we call such users

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5

Bourdon, Céline. "Recherche d’associations entre microARNs, variants génétiques et QTL laitiers chez les bovins, caprins et ovins RumimiR: a detailed microRNA database focused on ruminant species In silicowhole genome SNP dataset analyses identify variations in microRNAs with a potential impact on dairy traits in bovine, caprine and ovine species." Thesis, université Paris-Saclay, 2021. http://www.theses.fr/2021UPASL020.

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La sélection génomique, qui repose sur la prédiction de la valeur génétique des animaux candidats à la sélection à partir de l'information fournie par de très nombreux marqueurs génétiques en utilisant des marqueurs neutres, est un levier pertinent et pérenne. La recherche des mutations causales et leur intégration dans les évaluations génomiques permettraient un gain de précision important. Il est donc essentiel de mieux caractériser les mutations causales responsables de la variabilité des caractères quantitatifs liés à l’efficacité de production et à la qualité des produits tels que le lait

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6

Simonian, Gregory Vahag Aghabekian. "Double Trouble: The Impact of Binarity on Large Stellar Rotation Datasets." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1563439631310165.

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7

Mutuc, Maria Erlinda Manalo. "Increase in Calorie Intake Due to Eggplant Grafting: Proof of Concept With the Use of Minimum Datasets." Thesis, Virginia Tech, 2003. http://hdl.handle.net/10919/9645.

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Eggplant grafting implemented implemented in two field sites in the Philippines, in Nueva Ecija and Pangasinan are used as proofs of concept to illustrate and validate the feasibility of an impact assessment framework for determining the nutritional impact of technology-oriented agricultural activities. Nutritional impacts are assessed by disaggregating the market demand curve into demand curves by income groups using their separate price elasticities of demand. Considering only price effects, the increase in yields following a per unit cost reduction due to eggplant grafting has positive effe

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8

Mewes, Thorsten [Verfasser]. "The impact of the spectral dimension of hyperspectral datasets on plant disease detection / Thorsten Mewes." Bonn : Universitäts- und Landesbibliothek Bonn, 2011. http://d-nb.info/101621667X/34.

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9

Le, Bel Paul David. "Performance Evaluation of a Low Impact Development Retrofit for Urban Stormwater Treatment." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/48656.

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The goal of Low Impact Development (LID) is to mimic the pre-development hydrologic regime of a catchment through infiltration, filtration, storage, evaporation, and detention of post-development runoff using small-scale hydrologic controls close to the source. A LID facility located in Northern Virginia was examined for pollutant removal and hydrologic performance. The treatment train included four in-line grass swales followed by a bioretention cell with a gravel base. The facility retained 85% of the rainfall. Influent and effluent pollutant loads were calculated using three common substitu

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10

Insola, Federica. "Studio di Life Cycle Assessment per la creazione di dataset sul mix elettrico nazionale per la Banca Dati Italiana LCA." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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La tesi, svolta a seguito di un tirocinio presso ENEA, ha come scopo quello di sviluppare uno studio LCA sul mix nazionale di produzione e consumo di energia elettrica al fine di individuare quantitativamente i potenziali impatti ambientali che ne derivano per poter creare successivamente i dataset da inserire nella banca dati nazionale LCA sviluppata nel progetto europeo Arcadia - Approccio ciclo di vita nei contratti pubblici e banca dati italiana LCA per l’uso efficiente delle risorse, in collaborazione con ENEA. Si è scelto di iniziare l’elaborato fornendo un quadro generale sulla metodolo

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11

Rehn, Ruben, and Ricky Molén. "The ghost in the machine : Exploring the impact of noise in datasets used for graph-based action recognition." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302503.

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Human action recognition is the task of classifying human movement and actions from video data. To benchmark different algorithms within the action recognition field, a common benchmark dataset, called NTU-RGB+D is used. However, this dataset is not without its issues as some samples contain data that is mistakenly captured as a human. In the context of this thesis, these are defined as ghost bodies. This thesis explores to what extent the accuracy of a state-of-the-art directed graph neural net, DGNN, is affected if trained without ghost bodies. The results suggest that the accuracy increases

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12

Dapel, Zuhumnan. "The extent and evolution of poverty and inequality in Nigeria : evidence from household expenditure survey datasets and an assessment of the impact of oil industry." Thesis, University of Dundee, 2018. https://discovery.dundee.ac.uk/en/studentTheses/26335f3b-7327-44c8-852f-5bb2323134b6.

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Against the background of Nigeria’s substantial rise in oil income, under three distinct chapters, this thesis analysed poverty mobility, inequality, and developments in oil industry. Given that the rate of progress against poverty is considered to be an increasing function of growth (Ravallion and Chen, 1997; Ravallion, 2001; Dollar and Kraay, 2002, 2016); and based on documented evidence on the negative effect of oil intensity on growth, it is hypothesized that: (a) ‘resource-curse’ makes it harder to grow the economy (e.g Gelb (1988) and associates, Sachs and Warner (1995, 1997, 2001), Auty

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13

Bock, Anna [Verfasser], Annette [Akademischer Betreuer] Menzel, and Tim H. [Akademischer Betreuer] Sparks. "Detection of the impacts of climate change on plants from novel unexploited long-term datasets / Anna Bock. Gutachter: Annette Menzel ; Tim H. Sparks. Betreuer: Annette Menzel." München : Universitätsbibliothek der TU München, 2014. http://d-nb.info/105149687X/34.

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14

Hsieh, Hui-Ting, and 謝惠婷. "Impact of Serious Leisure Participation by Teenagers on Their Happiness in College Years--An Empirical Analysis with the Taiwan Youth Project Dataset." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/ez729m.

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碩士<br>南華大學<br>文化創意事業管理學系休閒產業碩士班<br>103<br>This study aims to explore the effects of serious leisure participation by teenagers on their happiness in college years. The regression analysis is used to estimate the relationship between participation in five different leisure activities of teenagers and their happiness in college year. The data come from questionnaires filled out by seventh-grade students from the Taiwan Youth Project since 2000. The results show that, 1. Having a talent in some fields has no significant effect on their happiness in college years. Participation in music or sports

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15

Kao, Pei-Chin, and 高佩琴. "Impact of Serious Leisure participation by teenagers on their sense of physical health in college--An empirical analysis with the Taiwan Youth Project dataset." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/yt8v92.

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碩士<br>南華大學<br>文化創意事業管理學系休閒產業碩士班<br>103<br>Based mainly on Stebbins’ Serious Leisure Theory, this study investigates the students who have been continually participating in various serious leisure activities since elementary school. The purpose is to find out if their sense of physical health, after entering college, are better than other students who have not participated in various serious leisure activities, and to see if the results are different when gender variable is added to the study. The study utilizes the Education Panel Survey data from the Taiwan Youth Project and puts them into r

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16

Ali, N., Daniel Neagu, and Paul R. Trundle. "Classification of heterogeneous data based on data type impact of similarity." 2018. http://hdl.handle.net/10454/16760.

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Yes<br>Real-world datasets are increasingly heterogeneous, showing a mixture of numerical, categorical and other feature types. The main challenge for mining heterogeneous datasets is how to deal with heterogeneity present in the dataset records. Although some existing classifiers (such as decision trees) can handle heterogeneous data in specific circumstances, the performance of such models may be still improved, because heterogeneity involves specific adjustments to similarity measurements and calculations. Moreover, heterogeneous data is still treated inconsistently and in ad-hoc manner. In

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17

ZHAN, CONG-ZHE, and 詹琮哲. "Research on the impact classification accuracy of datasets- A case study of multiple different types of classification methods." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/7g6g5f.

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碩士<br>國立雲林科技大學<br>資訊管理系<br>107<br>In today's society, over time, there are so many information come out at all times. These messages seem to get its act together and no rules, we can explore the useful data in dataset through data mining to increase the competition for company. Use the unreasonable data to training model in data mining, it will inevitably lead to getting the result of mistake in data classify, but few people will concern about original data whether make sense. In this study, we will explore about rationality of data, when it has irrational data in dataset, how to screen the un

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