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Dissertations / Theses on the topic 'Model based classification'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Hallberg, Robert. "Target Classification Based on Kinematics." Thesis, Linköpings universitet, Reglerteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81216.

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Modern aircraft are getting more and better sensors. As a result of this, the pilots are getting moreinformation than they can handle. To solve this problem one can automate the information processingand instead provide the pilots with conclusions drawn from the sensor information. An aircraft’smovement can be used to determine which class (e.g. commercial aircraft, large military aircraftor fighter) it belongs to. This thesis focuses on comparing three classification schemes; a Bayesianclassification scheme with uniform priors, Transferable Belief Model and a Bayesian classificationscheme wit

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Wurzbacher, Tobias. "Vocal fold dynamics : quantification and model-based classification /." Aachen : Shaker Verlag, 2008. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=016315367&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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3

Böckert, Andreas. "Vehicle detection and classification in video sequences." Thesis, Linköping University, Department of Electrical Engineering, 2002. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1244.

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<p>The purpose of this thesis is to investigate the applicability of a certain model based classification algorithm. The algorithm is centered around a flexible wireframe prototype that can instantiate a number of different vehicle classes such as a hatchback, pickup or a bus to mention a few. The parameters of the model are fitted using Newton minimization of errors between model line segments and observed line segments. Furthermore a number of methods for object detection based on motion are described and evaluated. Results from both experimental and real world data is presented.</p>

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Melli, Gabor Settimio. "A lazy model-based approach to on-line classification." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ37590.pdf.

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LIU, HUI. "Classification and prediction for flying objects based on behavior model." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-22207.

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This master thesis relates to machine vision system and object classification. The aim of this paper is to classify the flying objects in images in a computer vision system, for example, an eagle, kite or airplane. In this thesis, large amounts of data will be analyzed and a behavior model will be built for each object as important steps towards improving and automating the object classification system. The application of this thesis is to reduce the deaths of golden and bald eagles due to wind blades. In this thesis work, a new effective method is presented, namely, a stereo vision system, wh

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Stanczyk, Piotr. "Texture classification of steel images based on a multifractal model." Thesis, University of the West of England, Bristol, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.392809.

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7

Wurzbacher, Tobias [Verfasser]. "Vocal Fold Dynamics – Quantification and Model-based Classification / Tobias Wurzbacher." Aachen : Shaker, 2008. http://d-nb.info/1164341227/34.

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Benn, David E. "Model-based feature extraction and classification for automatic face recognition." Thesis, University of Southampton, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324811.

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9

Frisk, Christoffer. "Automated protein-family classification based on hidden Markov models." Thesis, Uppsala universitet, Bioinformatik, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-252372.

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The aim of the project presented in this paper was to investigate the possibility toautomatically sub-classify the superfamily of Short-chain Dehydrogenase/Reductases (SDR).This was done based on an algorithm previously designed to sub-classify the superfamily ofMedium-chain Dehydrogenase/Reductases (MDR). While the SDR-family is interesting andimportant to sub-classify there was also a focus on making the process as automatic aspossible so that future families also can be classified using the same methods.To validate the results generated it was compared to previous sub-classifications done o

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Ma, Li. "Web error classification and usage based model for Web reliability improvement." Ann Arbor, Mich. : ProQuest, 2007. 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:3258042.

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Thesis (Ph.D. in Computer Science)--S.M.U., 2007.<br>Title from PDF title page (viewed Mar. 18, 2008). Source: Dissertation Abstracts International, Volume: 68-03, Section: B, page: 1731. Adviser: Jeff Tian. Includes bibliographical references.

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Mangayyagari, Srikanth. "Voice recognition system based on intra-modal fusion and accent classification." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002229.

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12

Lim, Steven. "Recommending TEE-based Functions Using a Deep Learning Model." Thesis, Virginia Tech, 2021. http://hdl.handle.net/10919/104999.

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Trusted execution environments (TEEs) are an emerging technology that provides a protected hardware environment for processing and storing sensitive information. By using TEEs, developers can bolster the security of software systems. However, incorporating TEE into existing software systems can be a costly and labor-intensive endeavor. Software maintenance—changing software after its initial release—is known to contribute the majority of the cost in the software development lifecycle. The first step of making use of a TEE requires that developers accurately identify which pieces of code would

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13

Stampoulis, Vasileios. "Bayesian estimation of luminosity distributions and model based classification of astrophysical sources." Thesis, Imperial College London, 2017. http://hdl.handle.net/10044/1/59358.

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The distribution of the flux (observed luminosity) of astrophysical objects is of great interest as a measure of the evolution of various types of astronomical source populations and for testing theoretical assumptions about the Universe. This distribution is examined using the cumulative distribution of the number of sources (N) detected at a given flux (S), known as the log(N)−log(S) curve to astronomers. Estimating the log(N) − log(S) curve from observational data can be quite challenging though, since statistical fluctuations in the measurements and detector biases often lead to measuremen

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Al-Enezi, Jamal. "Artificial immune systems based committee machine for classification application." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/6826.

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A new adaptive learning Artificial Immune System (AIS) based committee machine is developed in this thesis. The new proposed approach efficiently tackles the general problem of clustering high-dimensional data. In addition, it helps on deriving useful decision and results related to other application domains such classification and prediction. Artificial Immune System (AIS) is a branch of computational intelligence field inspired by the biological immune system, and has gained increasing interest among researchers in the development of immune-based models and techniques to solve diverse comple

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Pagliarani, Andrea. "New markov chain based methods for single and cross-domain sentiment classification." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/8445/.

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Nowadays communication is switching from a centralized scenario, where communication media like newspapers, radio, TV programs produce information and people are just consumers, to a completely different decentralized scenario, where everyone is potentially an information producer through the use of social networks, blogs, forums that allow a real-time worldwide information exchange. These new instruments, as a result of their widespread diffusion, have started playing an important socio-economic role. They are the most used communication media and, as a consequence, they constitute the main s

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Werner, Christopher, Hendrik Schön, Thomas Kühn, Sebastian Götz, and Uwe Aßmann. "Role-based Runtime Model Synchronization." IEEE, 2018. https://tud.qucosa.de/id/qucosa%3A75310.

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Model-driven Software Development (MDSD) promotes the use of multiple related models to realize a software system systematically. These models usually contain redundant information but are independently edited. This easily leads to inconsistencies among them. To ensure consistency among multiple models, model synchronizations have to be employed, e.g., by means of model transformations, trace links, or triple graph grammars. Model synchronization poses three main problems for MDSD. First, classical model synchronization approaches have to be manually triggered to perform the synchronization. H

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Sebold, Miriam, Lorenz Deserno, Stefan Nebe, et al. "Model-Based and Model-Free Decisions in Alcohol Dependence." Karger, 2014. https://tud.qucosa.de/id/qucosa%3A71627.

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Background: Human and animal work suggests a shift from goal-directed to habitual decision-making in addiction. However, the evidence for this in human alcohol dependence is as yet inconclusive. Methods: Twenty-six healthy controls and 26 recently detoxified alcohol-dependent patients underwent behavioral testing with a 2-step task designed to disentangle goal-directed and habitual response patterns. Results: Alcohol-dependent patients showed less evidence of goal-directed choices than healthy controls, particularly after losses. There was no difference in the strength of the habitual componen

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Wu, Jingwen. "Model-based clustering and model selection for binned data." Thesis, Supélec, 2014. http://www.theses.fr/2014SUPL0005/document.

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Cette thèse étudie les approches de classification automatique basées sur les modèles de mélange gaussiens et les critères de choix de modèles pour la classification automatique de données discrétisées. Quatorze algorithmes binned-EM et quatorze algorithmes bin-EM-CEM sont développés pour quatorze modèles de mélange gaussiens parcimonieux. Ces nouveaux algorithmes combinent les avantages des données discrétisées en termes de réduction du temps d’exécution et les avantages des modèles de mélange gaussiens parcimonieux en termes de simplification de l'estimation des paramètres. Les complexités d

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Hafezi, Nazila. "An integrated software package for model-based neuro-fuzzy classification of small airway dysfunction." To access this resource online via ProQuest Dissertations and Theses @ UTEP, 2009. http://0-proquest.umi.com.lib.utep.edu/login?COPT=REJTPTU0YmImSU5UPTAmVkVSPTI=&clientId=2515.

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Ferris, Frederick A. II. "A Data-Based Model to Predict Case Classification of Educational Attainment in Central Appalachia." University of Dayton / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=dayton147929810718794.

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Furuhashi, Takeshi, Tomohiro Yoshikawa, Kanta Tachibana, and Minh Tuan Pham. "Feature Extraction Based on Space Folding Model and Application to Machine Learning." 日本知能情報ファジィ学会, 2010. http://hdl.handle.net/2237/20689.

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Session ID: TH-F3-4<br>SCIS & ISIS 2010, Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems. December 8-12, 2010, Okayama Convention Center, Okayama, Japan

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Ala'raj, Maher A. "A credit scoring model based on classifiers consensus system approach." Thesis, Brunel University, 2016. http://bura.brunel.ac.uk/handle/2438/13669.

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Managing customer credit is an important issue for each commercial bank; therefore, banks take great care when dealing with customer loans to avoid any improper decisions that can lead to loss of opportunity or financial losses. The manual estimation of customer creditworthiness has become both time- and resource-consuming. Moreover, a manual approach is subjective (dependable on the bank employee who gives this estimation), which is why devising and implementing programming models that provide loan estimations is the only way of eradicating the ‘human factor’ in this problem. This model shoul

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Bardow, André, Volker Göke, Hans-Jürgen Koß, Ernesto Kriesten, Klaus Lucas, and Wolfgang Marquardt. "Multicomponent diffusion coefficients in liquids from model-based raman spectroscopy." Diffusion fundamentals 2 (2005) 65, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A14399.

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Mahayuddin, Zainal Rasyid. "Rapid assembly lines model building based on template approach and classification of problems using the cladistics technique." Thesis, Cranfield University, 2012. http://dspace.lib.cranfield.ac.uk/handle/1826/7168.

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Competition in the global economic scenario has led to the use of simulation in many areas such as manufacturing, health systems, military systems and transportation. With the importance of simulation in supporting decision making and operations, model building has been recognised as one of the crucial steps in simulation studies. However, model building is not as easy as it may seem. It can be time-consuming and expensive, and requires special training, skills and experience. This research, therefore, aims to investigate a new method to rapidly build a simulation model based on the classifica

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Hatefi, Armin. "Mixture model analysis with rank-based samples." Statistica Sinica, 2013. http://hdl.handle.net/1993/23849.

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Simple random sampling (SRS) is the most commonly used sampling design in data collection. In many applications (e.g., in fisheries and medical research) quantification of the variable of interest is either time-consuming or expensive but ranking a number of sampling units, without actual measurement on them, can be done relatively easy and at low cost. In these situations, one may use rank-based sampling (RBS) designs to obtain more representative samples from the underlying population and improve the efficiency of the statistical inference. In this thesis, we study the theory and application

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Hofmann, Andreas, Nils Menager, Stephan Schweig, and Lars Mikelsons. "Model-Based Engineering mit Industriesteuerungen." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-163626.

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Das durchgängige Engineering über den gesamten Lebenszyklus ist neben der horizontalen und vertikalen Vernetzung die dritte Säule von Industrie 4.0. Durchgängigkeit im Engineering bedeutet dabei insbesondere Wiederverwendung von Modellen aus vorherigen Entwicklungsphasen. Beispiele hierfür sind die virtuelle Inbetriebnahme sowie die Codegenerierung. Dieser Beitrag stellt dar, wie diese modernen Engineering-Methoden bei der Verwendung von Rexroth Komponenten angewendet werden können. Die Kosten für die Inbetriebnahme neuer technischer Systeme beanspruchen heute einen erheblichen Anteil des Proj

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Kidane, Dawit K. "Rule-based land cover classification model : expert system integration of image and non-image spatial data." Thesis, Stellenbosch : Stellenbosch University, 2005. http://hdl.handle.net/10019.1/50445.

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Thesis (MSc)--Stellenbosch University, 2005.<br>ENGLISH ABSTRACT: Remote sensing and image processing tools provide speedy and up-to-date information on land resources. Although remote sensing is the most effective means of land cover and land use mapping, it is not without limitations. The accuracy of image analysis depends on a number of factors, of which the image classifier used is probably the most significant. It is noted that there is no perfect classifier, but some robust classifiers achieve higher accuracy results than others. For certain land cover/uses, discrimination based on

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Jäkel, Tobias, Martin Weißbach, Kai Herrmann, Hannes Voigt, and Max Leuthäuser. "Position paper: Runtime Model for Role-based Software Systems." IEEE, 2016. https://tud.qucosa.de/id/qucosa%3A75302.

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In the increasingly dynamic realities of today's software systems, it is no longer feasible to always expect human developers to react to changing environments and changing conditions immediately. Instead, software systems need to be self-aware and autonomously adapt their behavior according to their experiences gathered from their environment. Current research provides role-based modeling as a promising approach to handle the adaptivity and self-awareness within a software system. There are established role-based systems e.g., for application development, persistence, and so on. However, thes

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Hansen, Brian, Leif Østergaard, and Peter Vestergaard-Poulsen. "A fractal based model of diffusion MRI in cortical grey matter." Diffusion fundamentals 11 (2009) 73, S. 1-2, 2009. https://ul.qucosa.de/id/qucosa%3A14038.

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Wahler, Matthias, and Thomas Sendelbach. "Model based engineering for electro-hydraulic solutions." Technische Universität Dresden, 2020. https://tud.qucosa.de/id/qucosa%3A71232.

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This paper will give an overview about the technological change in Industrial Hydraulics and the impact of the Digital Twin on the related new engineering processes and methods in order to overcome the challenges coming out of that technology change. Simulation models will more and more become a decisive factor for the engineering process. The Digital Twin will be a window of opportunity for innovations and a technology push for the engineering process and the products in the Industrial Hydraulics.

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Darricarrere, Gwenaël, Julien Dutour, and François Henn. "A microscopic flow model based on Brownian dynamics for simulating ionic diffusion in glasses: A microscopic flow model based on Brownian dynamics forsimulating ionic diffusion in glasses." Diffusion fundamentals 2 (2005) 15, S. 1-2, 2005. https://ul.qucosa.de/id/qucosa%3A14344.

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Degerli, Mecit Mert. "Fault detection of bearings based on AutoRegressive modelling and Support Vector Machine classification." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020.

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Bearings are the common mechanical components and they have an authentic role generally in every kind of machines or applications. Therefore it becomes more and more important to understand properly the behaviour and the nature of the bearing and also their working conditions. For this reason, the data from the components on the machine as bearings in the modern industry; the importance of reducing machine downtime and machine costs, increasing machine performance and achieving a more stable operation is increasing day by day. For that purpose, different solutions have been provided to detect

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Koch, Oliver, and Jürgen Weber. "Model-Based Systems Engineering in Mobile Applications." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-200676.

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An efficient system development needs reuse, traceability and understanding. Today, specifications are usually written in text documents. Reuse means a copy and paste of suitable specifications. Traceability is the textual note that references to affected requirements. Achieving a full context understanding requires reading hundreds of pages in a variety of documents. Changing one textual requirement in complex systems can be very time-consuming. Model-based systems engineering (MBSE) addresses these issues. There, an integrated system model is used for the design, analysis, communication and

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Reimann, Carsten. "Model-Based Monitoring in Large-Scale Distributed Systems." Master's thesis, Universitätsbibliothek Chemnitz, 2002. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200200938.

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Monitoring remains an important problem in computer science. This thesis describes which monitor information is needed to analyze distributed service environments. This thesis also describes how to get these information and how to store them in a monitoring database. The resulting model is used to describe a distributed media content environment and a simulation system that runs on the CLIC helps to generate measurements as in real systems<br>Monitoring ist ein wichtiges Problem in der Informatik. In dieser Arbeit werden die benoetigten Daten beschrieben, welche zur Analyse von verteilten Dien

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Santiago, Dionny. "A Model-Based AI-Driven Test Generation System." FIU Digital Commons, 2018. https://digitalcommons.fiu.edu/etd/3878.

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Achieving high software quality today involves manual analysis, test planning, documentation of testing strategy and test cases, and development of automated test scripts to support regression testing. This thesis is motivated by the opportunity to bridge the gap between current test automation and true test automation by investigating learning-based solutions to software testing. We present an approach that combines a trainable web component classifier, a test case description language, and a trainable test generation and execution system that can learn to generate new test cases. Training da

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Naifar, Slim. "Model Based Design of a Magnetoelectric Vibration Converter from Weak Kinetic Sources." Universitätsverlag Chemnitz, 2018. https://monarch.qucosa.de/id/qucosa%3A32774.

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The main challenge in the design of vibration energy harvesters is the optimization of energy outcome relative to the applied excitation to reach a higher efficiency in spite of the weakness of ambient energy sources. One promising principle of vibration converters is magnetoelectricity due to the outstanding properties of magnetostrictive and piezoelectric laminate composites, which provide interesting possibilities to harvest energy from low amplitude and low frequency vibration with relatively high energy outcome. For these devices, ensuring high deformations in the magnetostricive layers,

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Fischer, Marco. "A formal fault model for component based models of embedded systems." Dresden TUDpress, 2006. http://deposit.d-nb.de/cgi-bin/dokserv?id=2960240&prov=M&dok_var=1&dok_ext=htm.

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Guillen, Pablo Puente, and Irene Gohl. "Forward collision warning based on a driver model to increase drivers’ acceptance." Taylor & Francis, 2019. https://publish.fid-move.qucosa.de/id/qucosa%3A72239.

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Objective: Systems that can warn the driver of a possible collision with a vulnerable road user (VRU) have significant safety benefits. However, incorrect warning times can have adverse effects on the driver. If the warning is too late, drivers might not be able to react; if the warning is too early, drivers can become annoyed and might turn off the system. Currently, there are no methods to determine the right timing for a warning to achieve high effectiveness and acceptance by the driver. This study aims to validate a driver model as the basis for selecting appropriate warning times. The tim

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Hähnel, Tom, Christoph Baldow, Joëlle Guilhot, et al. "Model-based inference and classification of immunological control mechanisms from TKI cessation and dose reduction in CML patients." American Association for Cancer Research (AACR), 2020. https://tud.qucosa.de/id/qucosa%3A74320.

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Recent clinical findings in chronic myeloid leukemia (CML) patients suggest that the risk of molecular recurrence after stopping tyrosine kinase inhibitor (TKI) treatment substantially depends on an individual’s leukemia-specific immune response. However, it is still not possible to prospectively identify patients that will remain in treatment-free remission (TFR). Here, we used an ordinary differential equation (ODE) model for CML, which explicitly includes an anti-leukemic immunological effect and applied it to 21 CML patients for whom BCR-ABL1/ABL1 time courses had been quantified before an

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Santana, Bonilla Alejandro, Rafael Gutierrez, Sandonas Leonardo Medrano, Daijiro Nozaki, Alessandro Paolo Bramanti, and Gianaurelio Cuniberti. "Structural distortions in molecular-based quantum cellular automata: a minimal model based study." Royal Society of Chemistry, 2014. https://tud.qucosa.de/id/qucosa%3A36371.

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Molecular-based quantum cellular automata (m-QCA), as an extension of quantum-dot QCAs, offer a novel alternative in which binary information can be encoded in the molecular charge configuration of a cell and propagated via nearest-neighbor Coulombic cell–cell interactions. Appropriate functionality of m-QCAs involves a complex relationship between quantum mechanical effects, such as electron transfer processes within the molecular building blocks, and electrostatic interactions between cells. The influence of structural distortions of single m-QCA are addressed in this paper within a minimal

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Baur, Ulrike, and Peter Benner. "Gramian-Based Model Reduction for Data-Sparse Systems." Universitätsbibliothek Chemnitz, 2007. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-200701952.

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Model reduction is a common theme within the simulation, control and optimization of complex dynamical systems. For instance, in control problems for partial differential equations, the associated large-scale systems have to be solved very often. To attack these problems in reasonable time it is absolutely necessary to reduce the dimension of the underlying system. We focus on model reduction by balanced truncation where a system theoretical background provides some desirable properties of the reduced-order system. The major computational task in balanced truncation is the solution of large-

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Kato, Jien, Toyohide Watanabe, Sebastien Joga, et al. "An HMM-based segmentation method for traffic monitoring movies." IEEE, 2002. http://hdl.handle.net/2237/6744.

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Rutherford, Grant. "Model-free bridge-based vehicle classification." 2008. http://hdl.handle.net/1993/21262.

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Parsons, Byron Jeffrey. "A classification theory based information systems model." Thesis, 1992. http://hdl.handle.net/2429/3369.

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Information systems (IS) development is viewed as a process of transforming users' knowledge about some subject matter into a computer-based system which faithfully represents that knowledge. A critical step in this process is conceptual modelling - the development of an implementation-independent representation of the relevant knowledge. While the importance of conceptual modelling has gained increasing recognition, many existing conceptual models remain based on software, rather than knowledge, constructs. This research adopts the premise that a conceptual model should provide constructs fo

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Hsiao-WeiShih and 施筱薇. "A Study of Rasch-based Model for Sentiment Classification." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/d38jw9.

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高正一. "A neural network model based on fuzzy classification concept." Thesis, 1992. http://ndltd.ncl.edu.tw/handle/52510456915064071054.

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Yu, Ching-Wen, and 游靖雯. "Model-based Classification for Heterogeneous Incomplete Multivariate t Populations." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/96809188135959819488.

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碩士<br>國立中興大學<br>應用數學系所<br>102<br>We establish classification rules for heterogeneous multivariate t populations while data are incomplete. Fourteen eigen-decomposed structures are employed to reparameterize the scale covariance matrix parsimoniously. Under the missing at random (MAR) mechanism, a computationally tractable EM-type algorithm coupled with the F–G diagonalization routine is developed for estimation of parameter and imputation of missing values. To enhance the learning efficiency, two auxiliary indicator matrices are incorporated into the procedure for indexing the exact position o

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Lin, Jin-Han, and 林金翰. "A Sequence Classification Model Based on Pattern Coverage Rate." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/60265476695526752993.

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碩士<br>國立中興大學<br>資訊科學與工程學系所<br>100<br>The techniques of classification help people to predict the class label of data, and they have been applied to solve many problems. In the real world, there exists many sequence data such as genome sequences that should be analyzed for predicting class label. Sequential pattern mining is the technique that is used to find frequent patterns occurred in a sequence data set. Some researchers employ sequential pattern mining technique to solve classification problem. This thesis proposed a sequence data classification model called SCM-PCR (Sequence Classifi

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Chang, Yuan-Ling, and 張元齡. "Classification Improvement Based on Feature Combination and Topic Vector Model." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/43119144947629463394.

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碩士<br>真理大學<br>資訊工程學系碩士班<br>100<br>We demonstrate a feature processing procedure which emphasizes on the combination of original features with redundancy trimming steps. This procedure shows better classification result than traditional classification models. In our experiment, several key feature processing steps were proposed according to the type od the feature. These steps contains numerical to categorical feature value conversion, feature combination, feature redundancy discrimination, and latent structure discovery based on the concatenation of original features and extended feature set.

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Chou, Tzu-Tung, and 周子彤. "The Food Safety Issues Classification Model Based on Text Mining." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/42xhjp.

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碩士<br>國立屏東科技大學<br>資訊管理系所<br>106<br>In recent years, food safety issues have emerged in an endless stream. There are lots of food safety issues have been reported in newspaper and internet every year. The online news media is an important channel for people to obtain food safety information. If people can effectively classify food safety incidents in online news media, it will help the public to distinguish the seriousness of the food safety incident and reduce unnecessary panic. Therefore, this research will use text mining and machine learning to analyze the unstructured text data of news on

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