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Dissertations / Theses on the topic 'Pre-processing data'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Bilalli, Besim. "Learning the impact of data pre-processing in data analysis." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/587221.

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There is a clear correlation between data availability and data analytics, and hence with the increase of data availability --- unavoidable according to Moore's law, the need for data analytics increases too. This certainly engages many more people, not necessarily experts, to perform analytics tasks. However, the different, challenging, and time consuming steps of the data analytics process, overwhelm non-experts and they require support (e.g., through automation or recommendations). A very important and time consuming step that marks itself out of the rest, is the data pre-processing step.

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2

Khondoker, Md Mizanur Rahman. "Statistical methods for pre-processing microarray gene expression data." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/12367.

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A novel method is developed for combining multiple laser scans of microarrays to correct for “signal saturation” and “signal deterioration” effects in the gene expression measurement. A multivariate nonlinear functional regression model with Cauchy distributed errors having additive plus multiplicative scale is proposed as a model for combining multiple scan data. The model has been found to flexibly describe the nonlinear relationship in multiple scan data. The heavy tailed Cauchy distribution with additive plus multiplicative scale provides a basis for objective and robust estimation of gene

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3

Mukun, Wang, Liu Gozhi, and Li Zhenglian. "HARDWARE PRE-PROCESSING FOR DATA OF UNDERWATER MEASURING SYSTEM." International Foundation for Telemetering, 1991. http://hdl.handle.net/10150/612907.

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International Telemetering Conference Proceedings / November 04-07, 1991 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>The synchro double pulse signal mode is freqently used in Short Base Line (SBL) underwater positioning system so as to obtain the information of both distance and depth of a target simultaneously. Howerer, this signal mode also brings about ranging indistinctness resulting in a shorter positioning distance much less than that limited by the period of the synchro signal. This paper presents a hardware distance gate date acquiring scheme. It puts the original data

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4

Giovanelli, Joseph. "AutoML: A new methodology to automate data pre-processing pipelines." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/20422/.

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It is well known that we are living in the Big Data Era. Indeed, the exponential growth of Internet of Things, Web of Things and Pervasive Computing systems greatly increased the amount of stored data. Thanks to the availability of data, the figure of the Data Scientist has become one of the most sought, because he is capable of transforming data, performing analysis on it, and applying Machine Learning techniques to improve the business decisions of companies. Yet, Data Scientists do not scale. It is almost impossible to balance their number and the required effort to analyze the increasingly

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Patel, Ankur. "3D morphable models : data pre-processing, statistical analysis and fitting." Thesis, University of York, 2011. http://etheses.whiterose.ac.uk/1576/.

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This thesis presents research aimed at using a 3D linear statistical model (known as a 3D morphable model) of an object class (which could be faces, bodies, cars, etc) for robust shape recovery. Our aim is to use this recovered information for the purposes of potentially useful applications like recognition and synthesis. With a 3D morphable model as its central theme, this thesis includes: a framework for the groupwise processing of a set of meshes in dense correspondence; a new method for model construction; a new interpretation of the statistical constraints afforded by the model and addres

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Hutton, Tanya. "Sensitivity of fusion neutronics to the pre-processing of nuclear data." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6724/.

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Nuclear data are the foundation of simulation and design in the nuclear industry. The success of commercialising thermonuclear fusion will be based on a set of highly accurate simulations used in design, optimisation and safety analyses. This work focuses on the often overlooked, pre-processing stage of nuclear data. The effect of legacy methods in a fusion context is a concern within the community, but has never been quantified. The sensitivity of fusion neutronics to pre-processing was determined using a set of codes and methods developed as part of this thesis. Legacy pre-processing methods

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Pettersson, Hanna. "Estimation and Pre-Processing of Sensor Data in Heavy Duty Vehicle Platooning." Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-79038.

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Today, a rapid development towards fuel efficient technological aids for vehicles is in progress. One step towards this is the development of platooning systems. The main concept of platooning is to let several heavy duty vehicles (HDVs) drive in a convoy and share important information with each other via wireless communication. This thesis describes one out of three subsystems in a project developed to handle the process from raw sensor data to control signal. The goal of the project is to achieve a safe and smooth control with the main purpose of reduced fuel consumption. This subsystem pro

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Abdul, Rahim Siti Khatijah Nor. "Transformation of the university examination timetabling problem space through data pre-processing." Thesis, University of Nottingham, 2015. http://eprints.nottingham.ac.uk/28895/.

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This research investigates Examination Timetabling or Scheduling, with the aim of producing good quality, feasible timetables that satisfy hard constraints and various soft constraints. A novel approach to scheduling, that of transformation of the problem space, has been developed and evaluated for its effectiveness. The examination scheduling problem involves many constraints due to many relationships between students and exams, making it complex and expensive in terms of time and resources. Despite the extensive research in this area, it has been observed that most of the published methods d

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Rahman, M. Mostafizur. "Machine learning based data pre-processing for the purpose of medical data mining and decision support." Thesis, University of Hull, 2014. http://hydra.hull.ac.uk/resources/hull:10103.

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Building an accurate and reliable model for prediction for different application domains, is one of the most significant challenges in knowledge discovery and data mining. Sometimes, improved data quality is itself the goal of the analysis, usually to improve processes in a production database and the designing of decision support. As medicine moves forward there is a need for sophisticated decision support systems that make use of data mining to support more orthodox knowledge engineering and Health Informatics practice. However, the real-life medical data rarely complies with the requirement

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Pabarškaitė, Židrina. "Enhancements of pre-processing, analysis and presentation techniques in web log mining." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20090713_142203-05841.

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As Internet is becoming an important part of our life, more attention is paid to the information quality and how it is displayed to the user. The research area of this work is web data analysis and methods how to process this data. This knowledge can be extracted by gathering web servers’ data – log files, where all users’ navigational patters about browsing are recorded. The research object of the dissertation is web log data mining process. General topics that are related with this object: web log data preparation methods, data mining algorithms for prediction and classification tasks, web

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DWIVEDI, SAURABH. "DIMENSIONALITY REDUCTION FOR DATA DRIVEN PROCESS MODELING." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069770129.

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12

Phillips, Peter. "A novel pre-processing method for the classification of data by a neural network." Thesis, University of Sussex, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398348.

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Tarassu, Jonas. "GPU-Accelerated Frame Pre-Processing for Use in Low Latency Computer Vision Applications." Thesis, Linköpings universitet, Informationskodning, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-142019.

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The attention for low latency computer vision and video processing applications are growing for every year, not least the VR and AR applications. In this thesis the Contrast Limited Adaptive Histogram Equalization (CLAHE) and Radial Dis- tortion algorithms are implemented using both CUDA and OpenCL to determine whether these type of algorithms are suitable for implementations aimed to run at GPUs when low latency is of utmost importance. The result is an implemen- tation of the block versions of the CLAHE algorithm which utilizes the built in interpolation hardware that resides on the GPU to r

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Patuzzi, Ilaria. "16S rRNA gene sequencing sparse count matrices: a count data simulator and optimal pre-processing pipelines." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3426369.

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The study of microbial communities has deeply changed since it was firstly introduced in the 17th century. In the late 1970s, a breakthrough in the way bacterial communities were studied was brought by the discovery that ribosomal RNA (rRNA) genes could be used as molecular markers to perform organisms classification. Some decades later, the advent of DNA sequencing technology revolutionized the study of microbial communities, permitting a culture-independent view on the overall community contained within a sample. Today, one of the most widely used approaches for microbial communities profili

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Karlsson, Linda S. "Spatio-Temporal Pre-Processing Methods for Region-of-Interest Video Coding." Licentiate thesis, Mid Sweden University, Department of Information Technology and Media, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-51.

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<p>In video transmission at low bit rates the challenge is to compress the video with a minimal reduction of the percieved quality. The compression can be adapted to knowledge of which regions in the video sequence are of most interest to the viewer. Region of interest (ROI) video coding uses this information to control the allocation of bits to the background and the ROI. The aim is to increase the quality in the ROI at the expense of the quality in the background. In order for this to occur the typical content of an ROI for a particular application is firstly determined and the actual detect

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Eklund, Martin. "Comparing Feature Extraction Methods and Effects of Pre-Processing Methods for Multi-Label Classification of Textual Data." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231438.

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This thesis aims to investigate how different feature extraction methods applied to textual data affect the results of multi-label classification. Two different Bag of Words extraction methods are used, specifically the Count Vector and the TF-IDF approaches. A word embedding method is also investigated, called the GloVe extraction method. Multi-label classification can be useful for categorizing items, such as pieces of music or news articles, that may belong to multiple classes or topics. The effect of using different pre-processing methods is also investigated, such as the use of N-grams, s

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Vogelsang, Stefan. "Monitoring Tools File Specification." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-199034.

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This paper describes the format of monitoring data files that are collected for external measuring sites and at laboratory experiments at the Institute for Building Climatology (IBK). The Monitoring Data Files are containers for storing time series or event driven data collected as input for transient heat and moisture transport simulations. Further applications are the documentation of real world behaviour, laboratory experiments or the collection of validation data sets for simulation results ( whole building / energy consumption / HAM ). The article also discusses the application interface

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Platz, Anna [Verfasser], and Ute [Akademischer Betreuer] Weckmann. "Novel pre-stack data confinement and selection for magnetotelluric data processing and its application to data of the Eastern Karoo Basin, South Africa / Anna Platz ; Betreuer: Ute Weckmann." Potsdam : Universität Potsdam, 2018. http://d-nb.info/1218403845/34.

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Offei, Felix. "Denoising Tandem Mass Spectrometry Data." Digital Commons @ East Tennessee State University, 2017. https://dc.etsu.edu/etd/3218.

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Protein identification using tandem mass spectrometry (MS/MS) has proven to be an effective way to identify proteins in a biological sample. An observed spectrum is constructed from the data produced by the tandem mass spectrometer. A protein can be identified if the observed spectrum aligns with the theoretical spectrum. However, data generated by the tandem mass spectrometer are affected by errors thus making protein identification challenging in the field of proteomics. Some of these errors include wrong calibration of the instrument, instrument distortion and noise. In this thesis, we pres

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NIGRI, ANNA. "Quality data assessment and improvement in pre-processing pipeline to minimize impact of spurious signals in functional magnetic imaging (fMRI)." Doctoral thesis, Politecnico di Torino, 2017. http://hdl.handle.net/11583/2911412.

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In the recent years, the field of quality data assessment and signal denoising in functional magnetic resonance imaging (fMRI) is rapidly evolving and the identification and reduction of spurious signal with pre-processing pipeline is one of the most discussed topic. In particular, subject motion or physiological signals, such as respiratory or/and cardiac pulsatility, were showed to introduce false-positive activations in subsequent statistical analyses. Different measures for the evaluation of the impact of motion related artefacts, such as frame-wise displacement and root mean square of mo

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Gustafson, Nathaniel Lee. "A Confidence-Prioritization Approach to Data Processing in Noisy Data Sets and Resulting Estimation Models for Predicting Streamflow Diel Signals in the Pacific Northwest." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3294.

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Streams in small watersheds are often known to exhibit diel fluctuations, in which streamflow oscillates on a 24-hour cycle. Streamflow diel fluctuations, which we investigate in this study, are an informative indicator of environmental processes. However, in Environmental Data sets, as well as many others, there is a range of noise associated with individual data points. Some points are extracted under relatively clear and defined conditions, while others may include a range of known or unknown confounding factors, which may decrease those points' validity. These points may or may not remain

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Landfors, Mattias. "Normalization and analysis of high-dimensional genomics data." Doctoral thesis, Umeå universitet, Institutionen för matematik och matematisk statistik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-53486.

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In the middle of the 1990’s the microarray technology was introduced. The technology allowed for genome wide analysis of gene expression in one experiment. Since its introduction similar high through-put methods have been developed in other fields of molecular biology. These high through-put methods provide measurements for hundred up to millions of variables in a single experiment and a rigorous data analysis is necessary in order to answer the underlying biological questions. Further complications arise in data analysis as technological variation is introduced in the data, due to the complex

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Kalledat, Tobias. "Tracking domain knowledge based on segmented textual sources." Doctoral thesis, Humboldt-Universität zu Berlin, Wirtschaftswissenschaftliche Fakultät, 2009. http://dx.doi.org/10.18452/15925.

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Die hier vorliegende Forschungsarbeit hat zum Ziel, Erkenntnisse über den Einfluss der Vorverarbeitung auf die Ergebnisse der Wissensgenerierung zu gewinnen und konkrete Handlungsempfehlungen für die geeignete Vorverarbeitung von Textkorpora in Text Data Mining (TDM) Vorhaben zu geben. Der Fokus liegt dabei auf der Extraktion und der Verfolgung von Konzepten innerhalb bestimmter Wissensdomänen mit Hilfe eines methodischen Ansatzes, der auf der waagerechten und senkrechten Segmentierung von Korpora basiert. Ergebnis sind zeitlich segmentierte Teilkorpora, welche die Persistenzeigenschaft der e

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Batista, Gustavo Enrique de Almeida Prado Alves. ""Pré-processamento de dados em aprendizado de máquina supervisionado"." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06102003-160219/.

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A qualidade de dados é uma das principais preocupações em Aprendizado de Máquina - AM -cujos algoritmos são freqüentemente utilizados para extrair conhecimento durante a fase de Mineração de Dados - MD - da nova área de pesquisa chamada Descoberta de Conhecimento de Bancos de Dados. Uma vez que a maioria dos algoritmos de aprendizado induz conhecimento estritamente a partir de dados, a qualidade do conhecimento extraído é amplamente determinada pela qualidade dos dados de entrada. Diversos aspectos podem influenciar no desempenho de um sistema de aprendizado devido à qualidade dos dados. Em

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Pettersson, Emeli, and Albin Carlson. "Att hitta en nål i en höstack: Metoder och tekniker för att sålla och gradera stora mängder ostrukturerad textdata." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20105.

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Big Data är i dagsläget ett populärt ämne som kan användas för en mängd olika syften. Bland annat kan det användas för att analysera data på webben i hopp om att identifiera brott mot mänskliga rättigheter. Genom att tillämpa tekniker inom områden som Artificiell Intelligens (AI), Information Retrieval (IR) samt data- visualisering, hoppas företaget Globalworks AB kunna identifiera röster vilka uttrycker sig om förtryck och kränkningar i social media. Artificiell intelligens och informationshämtning är dock breda områden och forskning som behandlar dem kan finnas långt ti

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Off, Thomas. "Durchgängige Verfolgbarkeit im Vorfeld der Softwareentwicklung von E-Government-Anwendungen : ein ontologiebasierter und modellgetriebener Ansatz am Beispiel von Bürgerdiensten." Phd thesis, Universität Potsdam, 2011. http://opus.kobv.de/ubp/volltexte/2012/5747/.

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Die öffentliche Verwaltung setzt seit mehreren Jahren E-Government-Anwendungssysteme ein, um ihre Verwaltungsprozesse intensiver mit moderner Informationstechnik zu unterstützen. Da die öffentliche Verwaltung in ihrem Handeln in besonderem Maße an Recht und Gesetz gebunden ist verstärkt und verbreitet sich der Zusammenhang zwischen den Gesetzen und Rechtsvorschriften einerseits und der zur Aufgabenunterstützung eingesetzten Informationstechnik andererseits. Aus Sicht der Softwaretechnik handelt es sich bei diesem Zusammenhang um eine spezielle Form der Verfolgbarkeit von Anforderungen (engl. T

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Wang, Lu. "Task Load Modelling for LTE Baseband Signal Processing with Artificial Neural Network Approach." Thesis, KTH, Signalbehandling, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-160947.

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This thesis gives a research on developing an automatic or guided-automatic tool to predict the hardware (HW) resource occupation, namely task load, with respect to the software (SW) application algorithm parameters in an LTE base station. For the signal processing in an LTE base station it is important to get knowledge of how many HW resources will be used when applying a SW algorithm on a specic platform. The information is valuable for one to know the system and platform better, which can facilitate a reasonable use of the available resources. The process of developing the tool is considere

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Ortiz, Suarez Pedro. "A Data-driven Approach to Natural Language Processing for Contemporary and Historical French." Electronic Thesis or Diss., Sorbonne université, 2022. http://www.theses.fr/2022SORUS155.

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Depuis plusieurs années, les approches neuronales ont régulièrement amélioré l'état de l'art du traitement automatique des langues (TAL) sur une grande variété de tâches. L'un des principaux facteurs ayant permis ces progrès continus est l'utilisation de techniques d'apprentissage par transfert. Ces méthodes consistent à partir d'un modèle pré-entraîné et à le réutiliser, avec peu ou pas d'entraînement supplémentaire, pour traiter d'autres tâches. Même si ces modèles présentent des avantages évidents, leur principal inconvénient est la quantité de données nécessaire pour les pré-entraîner. Ain

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Liserre, Luiz. "Sistema computacional com geração de dados e visualização de resultados para estrutura de edifícios." Universidade de São Paulo, 2003. http://www.teses.usp.br/teses/disponiveis/18/18134/tde-03062016-095636/.

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Este trabalho trata do desenvolvimento de um sistema computacional, para a geração de dados e apresentação de resultados, específico para as estruturas de edifícios. As rotinas desenvolvidas devem trabalhar em conjunto com um sistema computacional para análise de estruturas com base no Método dos Elementos Finitos, contemplando tanto as estruturas de pavimentos; com a utilização de elementos de barra, placa/casca e molas; como as estruturas de contraventamento; com a utilização de elementos de barra tridimensional e recursos especiais como nó mestre e trechos rígidos. A linguagem computacional

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Ayala, Cabrera David. "Characterization of components of water supply systems from GPR images and tools of intelligent data analysis." Doctoral thesis, Universitat Politècnica de València, 2015. http://hdl.handle.net/10251/59235.

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[EN] Over time, due to multiple operational and maintenance activities, the networks of water supply systems (WSSs) undergo interventions, modifications or even are closed. In many cases, these activities are not properly registered. Knowledge of the paths and characteristics (status and age, etc.) of the WSS pipes is obviously necessary for efficient and dynamic management of such systems. This problem is greatly augmented by considering the detection and control of leaks. Access to reliable leakage information is a complex task. In many cases, leaks are detected when the damage is already co

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Lee, Huei Diana. ""Seleção de atributos importantes para a extração de conhecimento de bases de dados"." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-22022006-172219/.

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O desenvolvimento da tecnologia e a propagação de sistemas computacionais nos mais variados domínios do conhecimento têm contribuído para a geração e o armazenamento de uma quantidade constantemente crescente de dados, em uma velocidade maior da que somos capazes de processar. De um modo geral, a principal razão para o armazenamento dessa enorme quantidade de dados é a utilização deles em benefício da humanidade. Diversas áreas têm se dedicado à pesquisa e a proposta de métodos e processos para tratar esses dados. Um desses processos é a Descoberta de Conhecimento em Bases de Dados, a qual tem

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Bock, Jelena [Verfasser], and Hans [Akademischer Betreuer] Burkhardt. "Development and testing of new strategies for pre-processing and analysis of 4D flow-senisitive mri data = Entwicklung und Erprobung neuer Strategien zur Bearbeitung und Analyse von 4D flusssensitiven MR Daten." Freiburg : Universität, 2013. http://d-nb.info/1123475733/34.

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Wara, Ummul. "A Framework for Fashion Data Gathering, Hierarchical-Annotation and Analysis for Social Media and Online Shop : TOOLKIT FOR DETAILED STYLE ANNOTATIONS FOR ENHANCED FASHION RECOMMENDATION." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-234285.

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Due to the transformation of different recommendation system from contentbased to hybrid cross-domain-based, there is an urge to prepare a socialnetwork dataset which will provide sufficient data as well as detail-level annotation from a predefined hierarchical clothing category and attribute based vocabulary by considering user interactions. However, existing fashionbased datasets lack either in hierarchical-category based representation or user interactions of social network. The thesis intends to represent two datasets- one from photo-sharing platform Instagram which gathers fashionistas im

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Corell, Simon. "A Recurrent Neural Network For Battery Capacity Estimations In Electrical Vehicles." Thesis, Linköpings universitet, Medie- och Informationsteknik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160536.

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This study is an investigation if a recurrent long short-term memory (LSTM) based neural network can be used to estimate the battery capacity in electrical cars. There is an enormous interest in finding the underlying reasons why and how Lithium-ion batteries ages and this study is a part of this broader question. The research questions that have been answered are how well a LSTM model estimates the battery capacity, how the LSTM model is performing compared to a linear model and what parameters that are important when estimating the capacity. There have been other studies covering similar top

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Ko, Ming Hsiao. "Using dynamic time warping for multi-sensor fusion." Thesis, Curtin University, 2009. http://hdl.handle.net/20.500.11937/384.

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Fusion is a fundamental human process that occurs in some form at all levels of sense organs such as visual and sound information received from eyes and ears respectively, to the highest levels of decision making such as our brain fuses visual and sound information to make decisions. Multi-sensor data fusion is concerned with gaining information from multiple sensors by fusing across raw data, features or decisions. The traditional frameworks for multi-sensor data fusion only concern fusion at specific points in time. However, many real world situations change over time. When the multi-sensor

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Lorenz, Sandra [Verfasser], Jens [Akademischer Betreuer] Gutzmer, Jens [Gutachter] Gutzmer, Jocelyn [Gutachter] Chanussot, Bethany L. [Gutachter] Ehlmann, and Richard [Akademischer Betreuer] Gloaguen. "The Need for Accurate Pre-processing and Data Integration for the Application of Hyperspectral Imaging in Mineral Exploration / Sandra Lorenz ; Gutachter: Jens Gutzmer, Jocelyn Chanussot, Bethany L. Ehlmann ; Jens Gutzmer, Richard Gloaguen." Freiberg : Technische Universität Bergakademie Freiberg, 2019. http://d-nb.info/122063655X/34.

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Ko, Ming Hsiao. "Using dynamic time warping for multi-sensor fusion." Curtin University of Technology, Department of Computing, 2009. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=129032.

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Fusion is a fundamental human process that occurs in some form at all levels of sense organs such as visual and sound information received from eyes and ears respectively, to the highest levels of decision making such as our brain fuses visual and sound information to make decisions. Multi-sensor data fusion is concerned with gaining information from multiple sensors by fusing across raw data, features or decisions. The traditional frameworks for multi-sensor data fusion only concern fusion at specific points in time. However, many real world situations change over time. When the multi-sensor

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Barioni, Maria Camila Nardini. "Visualização de operações de junção em sistemas de bases de dados para mineração de dados." Universidade de São Paulo, 2002. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-04122002-114251/.

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Nas últimas décadas, a capacidade das empresas de gerar e coletar informações aumentou rapidamente. Essa explosão no volume de dados gerou a necessidade do desenvolvimento de novas técnicas e ferramentas que pudessem, além de processar essa enorme quantidade de dados, permitir sua análise para a descoberta de informações úteis, de maneira inteligente e automática. Isso fez surgir um proeminente campo de pesquisa para a extração de informação em bases de dados denominado Knowledge Discovery in Databases KDD, no geral técnicas de mineração de dados DM têm um papel preponderante. A obtenção

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Wulf, Janina Saskia. "Polyphenolanalyse in gartenbaulichen Produkten auf der Basis laser-induzierter Fluoreszenzspektroskopie." Doctoral thesis, Humboldt-Universität zu Berlin, Landwirtschaftlich-Gärtnerische Fakultät, 2007. http://dx.doi.org/10.18452/15618.

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In der gartenbaulichen Forschung gewinnen zerstörungsfreie Produktmonitoringverfahren im Hinblick auf ein verbessertes Prozessmanagement an Bedeutung. Optische Methoden werden bereits in mobilen Systemen und Sortieranlagen zur Produktbewertung in Nachernteprozessen eingesetzt. In der vorliegenden Arbeit wurde ein Beitrag zur quantitativen Bestimmung ernährungsphysiologisch bedeutender Fruchtpolyphenole auf der Basis laser-induzierter Fluoreszenzspektroskopie geleistet. An gelagerten Äpfeln und Möhren wurde die Varianz der Produktfluoreszenz bei verschiedenen Lagerbedingungen mit Hilfe der Hau

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Jovanovic, Aleksandar, and Cong Vu. "Triggningskriterier i triggningsmodul för trådlösa dataloggern DL141E." Thesis, Högskolan Kristianstad, Avdelningen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-18292.

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Dataloggern DL141E möjliggör kontinuerlig loggnig av mätdata från sensorer på upp till 30k sampel/s, som vidare kan överföras till mobiltelefoner via trådlös kommunikation. Detta är dock för stora datamängder per tidsenhet för mobiltelefoner som är tekniskt begränsade. Därför önskas bara relevant mätdata för att reducerar denna onödiga datamängd. I denna studie föreslås ett tillvägagångssätt där enspecifik mindre samling av diskreta försampel loggas i tur och ordning. Varje samling signalbehandlas genom att ställas mot fördefinierade triggningskriterier för att trigga loggning av en stor uppsä

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Hafner, F. W. (Bill). "Advanced Data Acquisition and Processing System (ADAPS) – The Current State of the System." International Foundation for Telemetering, 1999. http://hdl.handle.net/10150/607323.

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International Telemetering Conference Proceedings / October 25-28, 1999 / Riviera Hotel and Convention Center, Las Vegas, Nevada<br>The technology growth in the Aerospace industry, as manifested and embodied in the current fighter technology, presents many challenges in the area of flight test and data processing. Past papers have delineated the concepts brought to bear in the design and implementation of the AFFTC’s latest generation of telemetry data systems in the Advanced Data Acquisition and Processing System (ADAPS) program. The current deployed system incorporates the planned appro

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Razavi, Amir Reza. "Applications of Knowledge Discovery in Quality Registries - Predicting Recurrence of Breast Cancer and Analyzing Non-compliance with a Clinical Guideline." Doctoral thesis, Linköping : Univ, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-10142.

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Hicks, William T. "An Analysis of Various Digital Filter Types for Use as Matched Pre-Sample Filters in Data Encoders." International Foundation for Telemetering, 1995. http://hdl.handle.net/10150/611585.

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International Telemetering Conference Proceedings / October 30-November 02, 1995 / Riviera Hotel, Las Vegas, Nevada<br>The need for precise gain and phase matching in multi-channel data sampling systems can result in very strict design requirements for presample or anti-aliasing filters. The traditional use of active RC-type filters is expensive, especially when performance requirements are tight and when operation over a wide environmental temperature range is required. New Digital Signal Processing (DSP) techniques have provided an opportunity for cost reduction and/or performance improvemen

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Abdelmoula, Mariem. "Génération automatique de jeux de tests avec analyse symbolique des données pour les systèmes embarqués." Thesis, Nice, 2014. http://www.theses.fr/2014NICE4149/document.

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Un des plus grands défis dans la conception matérielle et logicielle est de s’assurer que le système soit exempt d’erreurs. La moindre erreur dans les systèmes embarqués réactifs peut avoir des conséquences désastreuses et coûteuses pour certains projets critiques, nécessitant parfois de gros investissements pour les corriger, ou même conduire à un échec spectaculaire et inattendu du système. Prévenir de tels phénomènes en identifiant tous les comportements critiques du système est une tâche assez délicate. Les tests en industrie sont globalement non exhaustifs, tandis que la vérification form

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Börthas, Lovisa, and Sjölander Jessica Krange. "Machine Learning Based Prediction and Classification for Uplift Modeling." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-266379.

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The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. Efficient methods for estimating the probabilities in uplift models are statistical machine learning methods. In this project the different uplift modeling approaches Subtraction of Two Models, Modeling Uplift Directly and the Class Variable Transformation are investiga

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Chen, Simin. "Topic discovery and document similarity via pre-trained word embeddings." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235537.

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Throughout the history, humans continue to generate an ever-growing volume of documents about a wide range of topics. We now rely on computer programs to automatically process these vast collections of documents in various applications. Many applications require a quantitative measure of the document similarity. Traditional methods first learn a vector representation for each document using a large corpus, and then compute the distance between two document vectors as the document similarity.In contrast to this corpus-based approach, we propose a straightforward model that directly discovers th

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Gonzales, Marquez Mercedes Rocio. "Pre-alinhamento de imagens de profundidade via malhas simplificadas." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/261218.

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Orientador: Wu Shin-Ting<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-14T00:50:34Z (GMT). No. of bitstreams: 1 GonzalesMarquez_MercedesRocio_D.pdf: 9448340 bytes, checksum: 4c3f5a018922f90ac08152dbf85aeaf6 (MD5) Previous issue date: 2009<br>Resumo: O pré-alinhamento de duas imagens de profundidade parcialmente sobrepostas de objetos rígidos consiste na determinação automática de uma transformação rígida T que coloca ambas imagens em um mesmo referencial. Ele deve ser independente da geometria

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Caviness, Dimitra-Alys Anne. "Investigating ancient religion and geography : an analysis of pre-Christian Ireland using mythology and a geographic information system." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1204486.

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Artchounin, Daniel. "Tuning of machine learning algorithms for automatic bug assignment." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139230.

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In software development projects, bug triage consists mainly of assigning bug reports to software developers or teams (depending on the project). The partial or total automation of this task would have a positive economic impact on many software projects. This thesis introduces a systematic four-step method to find some of the best configurations of several machine learning algorithms intending to solve the automatic bug assignment problem. These four steps are respectively used to select a combination of pre-processing techniques, a bug report representation, a potential feature selection tec

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Bonantini, Andrea. "Analisi di dati e sviluppo di modelli predittivi per sistemi di saldatura." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/24664/.

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Il presente lavoro di tesi ha come obiettivo quello di predire la lunghezza dell'arco elettrico che si forma nel processo di saldatura MIG/MAG, quando un elettrodo fusibile (filo) si porta a una distanza opportuna dal componente che deve essere saldato. In questo caso specifico, la lega di materiale che forma il filo è fatta di Alluminio-Magnesio. In particolare, in questo elaborato sarà presentato l'impatto che avranno alcune grandezze fisiche, come tensione, corrente e velocità di trascinamento del filo che viene fuso, durante il procedimento della saldatura, e come queste influenzeranno la

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