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Dissertations / Theses on the topic 'Prediction algoritm'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Chen, Yutao. "Algorithms and Applications for Nonlinear Model Predictive Control with Long Prediction Horizon." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3421957.

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Fast implementations of NMPC are important when addressing real-time control of systems exhibiting features like fast dynamics, large dimension, and long prediction horizon, as in such situations the computational burden of the NMPC may limit the achievable control bandwidth. For that purpose, this thesis addresses both algorithms and applications. First, fast NMPC algorithms for controlling continuous-time dynamic systems using a long prediction horizon have been developed. A bridge between linear and nonlinear MPC is built using partial linearizations or sensitivity update. In order to

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2

Barrueta, Meza Renzo André, and Villarreal Edgar Jean Paul Castillo. "Modelo de análisis predictivo para determinar clientes con tendencia a la deserción en bancos peruanos." Bachelor's thesis, Universidad Peruana de Ciencias Aplicadas (UPC), 2018. http://hdl.handle.net/10757/626023.

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En la actualidad, el rol que cumplen los bancos en la economía del país y el impacto que tienen en las diferentes clases sociales es cada vez más importante. Estos siempre han sido un mercado que históricamente ha recibido un gran número de quejas y reclamaciones. Es por ello que, un mal servicio por parte del proveedor, una deficiente calidad de los productos y un precio fuera de mercado son las principales razones por las que los clientes abandonan una entidad bancaria. Esta situación va aumentando cada vez más y los bancos muestran su preocupación por este problema intentando implementa

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Altmisdort, F. Nadir. "Development of a new prediction algorithm and a simulator for the Predictive Read Cache (PRC)." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA322724.

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Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, September 1996.<br>Thesis advisor(s): Douglas J. Fouts. "September 1996." Includes bibliographical references (p. 127-128). Also available online.

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Alkindy, Bassam. "Combining approaches for predicting genomic evolution." Thesis, Besançon, 2015. http://www.theses.fr/2015BESA2012/document.

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En bio-informatique, comprendre comment les molécules d’ADN ont évolué au cours du temps reste un problème ouvert etcomplexe. Des algorithmes ont été proposés pour résoudre ce problème, mais ils se limitent soit à l’évolution d’un caractèredonné (par exemple, un nucléotide précis), ou se focalisent a contrario sur de gros génomes nucléaires (plusieurs milliardsde paires de base), ces derniers ayant connus de multiples événements de recombinaison – le problème étant NP completquand on considère l’ensemble de toutes les opérations possibles sur ces séquences, aucune solution n’existe à l’heureac

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Losik, Len. "Using Oracol® for Predicting Long-Term Telemetry Behavior for Earth and Lunar Orbiting and Interplanetary Spacecraft." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/604280.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California<br>Providing normal telemetry behavior predictions prior to and post launch will help to stop surprise catastrophic satellite and spacecraft equipment failures. In-orbit spacecraft fail from surprise equipment failures that can result from not having normal telemetry behavior available for comparison with actual behavior catching satellite engineers by surprise. Some surprise equipm

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Losik, Len. "Using Oracol® for Predicting Long-Term Telemetry Behavior for Earth and Lunar Orbiting and Interplanetary Spacecraft." International Foundation for Telemetering, 2009. http://hdl.handle.net/10150/606127.

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ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada<br>Providing normal telemetry behavior predictions prior to and post launch will help to stop surprise catastrophic satellite and spacecraft equipment failures. In-orbit spacecraft fail from surprise equipment failures that can result from not having normal telemetry behavior available for comparison with actual behavior catching satellite engineers by surprise. Some surprise equipment failures l

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7

Truong, Ngoc Cuong. "Algorithms for appliance usage prediction." Thesis, University of Southampton, 2014. https://eprints.soton.ac.uk/367540/.

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Demand-Side Management (DSM) is one of the key elements of future Smart Electricity Grids. DSM involves mechanisms to reduce or shift the consumption of electricity in an attempt to minimise peaks. By so doing it is possible to avoid using expensive peaking plants that are also highly carbon emitting. A key challenge in DSM, however, is the need to predict energy usage from specific home appliances accurately so that consumers can be notified to shift or reduce the use of high energy-consuming appliances. In some cases, such notifications may be also need to be given at very short notice. Henc

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8

Harparan, Dhindsa, and Jonathan Malmström. "Predictive Motion Cueing Algorithm." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230145.

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Advancements in vehicle development has made motion-based driving simulators an impor- tant and cost-e↵ective tool when validating and designing vehicles. Although one-to-one rendition of the real world is not a possibility due to hard limitations set by the rig, motion cueing algorithms intend to improve the perception of reality by mimicking the movements of a real vehicle into the movement of a motion platform. To further yield a greater motion envelope, prepositioning can be applied beforehand to gradually counteract the intended motion of a predetermined track model. The purpose of this t

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9

Hanittinan, Wichai. "Resilient modulus prediction using neural network algorithm." Columbus, Ohio : Ohio State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1190140082.

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10

Abraham, Nathan Luke. "A genetic algorithm for crystal structure prediction." Thesis, University of York, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.444727.

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11

Meng, Bojun. "Efficient intra prediction algorithm in H.264 /." View Abstract or Full-Text, 2003. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202003%20MENG.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003.<br>Includes bibliographical references (leaves 66-68). Also available in electronic version. Access restricted to campus users.

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12

Pham, Cong Huy. "Molecular crystal structure prediction with evolutionary algorithm." Doctoral thesis, SISSA, 2015. http://hdl.handle.net/20.500.11767/4884.

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The layout of the thesis is as follow: In Chapter 1, we present the theoretical background of DFT, Projector-Augmented-Wave (PAW) and Gauge-Including Projector-Augmented-Wave (GIPAW) methods. In Chapter 2, we introduce the crystal structure prediction problem and present evolutionary algorithms as one solution to perform crystal structure search for molecular crystals. Chapter 3 and Chapter 4 are dedicated to the detailed results when using evolutionary algorithm in crystal structure search for the studies of glycine and cholesterol respectively

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13

Ter-Hovhannisyan, Vardges. "Unsupervised and semi-supervised training methods for eukaryotic gene prediction." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26645.

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Thesis (Ph.D)--Biology, Georgia Institute of Technology, 2009.<br>Committee Chair: Mark Borodovky; Committee Member: Jung H. Choi; Committee Member: King Jordan; Committee Member: Leonid Bunimovich; Committee Member: Yury Chernoff. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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14

Batista, Maria Rita Sifuentes. "A utilização de algoritmos de aprendizado de máquina em problemas de classificação." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/55/55137/tde-25032019-141126/.

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Os últimos anos foram marcados por um avanço expressivo da tecnologia, principalmente na área de computação. Estes avanços, quando somados à diversidade de produtos oferecidos por empresas de diferentes segmentos, e aos esforços destas em capturar e armazenar dados de seus clientes e de suas operações, ajudam a explicar a quantidade de informações que atualmente é produzida. As organizações, em geral, têm se mostrado eficientes em capturar, organizar e armazenar grandes quantidades de dados, mas nem todas os utilizam adequadamente, no sentido de transformá-los em conhecimentos úteis para suas

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15

Yuan, Ye. "Decentralised network prediction and reconstruction algorithms." Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/243619.

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This study concerns the decentralised prediction and reconstruction problems in a network. First of all, we propose a decentralised prediction algorithm in the framework of network consensus problem. It allows any individual to compute the consensus value of the whole network in finite time using only the minimal number of successive values of its own history. We further prove that the minimal number of steps can be characterised using other algebraic and graph theoretical notions: minimal external equitable partition (mEEP) that can be directly computed from the Laplacian matrix of the graph

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Monsch, Matthieu (Matthieu Frederic). "Large scale prediction models and algorithms." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/84398.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Operations Research Center, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 129-132).<br>Over 90% of the data available across the world has been produced over the last two years, and the trend is increasing. It has therefore become paramount to develop algorithms which are able to scale to very high dimensions. In this thesis we are interested in showing how we can use structural properties of a given problem to come up with models applicable in practice, while keeping most of the value of a l

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17

GAO, HONGLIANG. "IMPROVING BRANCH PREDICTION ACCURACY VIA EFFECTIVE SOURCE INFORMATION AND PREDICTION ALGORITHMS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3286.

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Modern superscalar processors rely on branch predictors to sustain a high instruction fetch throughput. Given the trend of deep pipelines and large instruction windows, a branch misprediction will incur a large performance penalty and result in a significant amount of energy wasted by the instructions along wrong paths. With their critical role in high performance processors, there has been extensive research on branch predictors to improve the prediction accuracy. Conceptually a dynamic branch prediction scheme includes three major components: a source, an information processor, and a predict

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Dysart, Marc James. "Development and validation of a posture prediction algorithm." Thesis, This resource online, 1994. http://scholar.lib.vt.edu/theses/available/etd-10312009-020410/.

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Trefilík, Jakub. "Koevoluce obrazových filtrů a prediktorů fitness." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2015. http://www.nusl.cz/ntk/nusl-234952.

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This thesis deals with employing coevolutionary principles to the image filter design. Evolutionary algorithms are very advisable method for image filter design. Using coevolution, we can add the processes, which can accelerate the convergence by interactions of candidate filters population with population of fitness predictors. Fitness predictor is a small subset of the training set and it is used to approximate the fitness of the candidate solutions. In this thesis, indirect encoding is used for predictors evolution. This encoding represents a mathematical expression, which selects training

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20

C, Dukka Bahadur K. "Clique-based algorithms for protein structure prediction." 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/143887.

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21

Li, Xia. "Travel time prediction using ensemble learning algorithms." Thesis, University of Nottingham, 2018. http://eprints.nottingham.ac.uk/53358/.

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In the research area of travel time prediction, the existing studies mainly focus on aggregated travel time prediction (without distinguishing vehicle types) or travel time prediction for passenger vehicles. The travel time prediction for freight transportation has not received enough attention from researchers. Only a few relevant studies can be found in the literature, and the proposed methods are usually very simple and lack comparisons with more advanced methods. Although many believed that a better prediction model can be developed using more advanced techniques such as artificial neural

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22

Kihlström, Jessica. "Experimental assessment of fluid hammer prediction algorithms." Thesis, Linnéuniversitetet, Sjöfartshögskolan (SJÖ), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-74921.

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Fluid hammer is a problem, which may lead to catastrophic consequences and many engineers have a deficiency in competence when it comes to its prediction. This study´s objective is to assess various fluid hammer prediction models, to evaluate how substantial pressure thrusts would affect a system and to verify the analytical results toward experimental data. The experimental data are collected from a novel experimental rig constituted of tubes, valves and data acquisition (DAQ) equipment. The literature review reveals several algorithms, analytical calculations and items of transient numerical

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Capanoglu, Gulsum Elcin. "Prediction Of Prices Of Risky Assets Using Smoothing Algorithm." Master's thesis, METU, 2006. http://etd.lib.metu.edu.tr/upload/2/12607286/index.pdf.

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This thesis presents the prediction algorithm for the price of the share of risky asset. The price of the share is presented by dynamic model and observation is presented by the measurement model. Dynamic model is derived by using Stochastic Calculus. The algorithm is simulated by using Matlab.

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Bahmann, Silvia. "Development of an evolutionary algorithm for crystal structure prediction." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2014. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-141596.

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Die vorliegende Dissertation befasst sich mit der theoretischen Vorhersage neuer Materialien. Ein evolutionärer Algorithmus, der zur Lösung dieses globalen Optimierungsproblems Konzepte der natürlichen Evolution imitiert, wurde entwickelt und ist als Programmpaket EVO frei verfügbar. EVO findet zuverlässig sowohl bekannte als auch neuartige Kristallstrukturen. Beispielsweise wurden die Strukturen von Germaniumnitrofluorid, einer neue Borschicht und mit dem gekreuzten Graphen einer bisher unbekannte Kohlenstoffstruktur gefunden. Ferner wurde in der Arbeit gezeigt, dass das reine Auffinden solch

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25

Tetler, William G. (William Gore). "A collaborative filtering prediction algorithm for ClassRank subject recommendations." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/46521.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, February 2008.<br>Includes bibliographical references (p. 51).<br>Undergraduate students at M.I.T. typically utilize three resources when selecting subjects: course specific evaluations, faculty advisors, and peers. While these resources have distinct advantages, they are all limited in scope. The ClassRank web application has been developed to bridge the gap between these resources by providing a simple institute-wide system for undergraduate students to evaluate and rate subjects. T

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Kalichkan, Iouri. "The aggregating algorithm and predictive complexity." Thesis, Royal Holloway, University of London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406310.

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Kassapakis, E. G. "Studies on a predictive control algorithm." Thesis, University of Reading, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.360726.

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28

Sigg, Stephan [Verfasser]. "Development of a novel context prediction algorithm and analysis of context prediction schemes / Stephan Sigg." Kassel : Kassel University Press, 2008. http://d-nb.info/1006894721/34.

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Zhu, Linhong, Dong Guo, Junming Yin, Steeg Greg Ver, and Aram Galstyan. "Scalable temporal latent space inference for link prediction in dynamic social networks (extended abstract)." IEEE, 2017. http://hdl.handle.net/10150/626028.

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Understanding and characterizing the processes driving social interactions is one of the fundamental problems in social network research. A particular instance of this problem, known as link prediction, has recently attracted considerable attention in various research communities. Link prediction has many important commercial applications, e.g., recommending friends in an online social network such as Facebook and suggesting interesting pins in a collection sharing network such as Pinterest. This work is focused on the temporal link prediction problem: Given a sequence of graph snapshots G1, ·

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30

Ghai, Vishal V. "Knowledge Based Approach UsIng Neural Networks for Predicting Corrosion Rate." Ohio University / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1132954243.

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31

Betts, Matthew James. "Analysis and prediction of protein-protein recognition." Thesis, University College London (University of London), 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.313795.

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Gross, Hans-Gerhard. "Measuring evolutionary testability of real-time software." Thesis, University of South Wales, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365087.

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33

Eriksson, Niclas. "On the Prediction of Warfarin Dose." Doctoral thesis, Uppsala universitet, Klinisk farmakologi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-172864.

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Warfarin is one of the most widely used anticoagulants in the world. Treatment is complicated by a large inter-individual variation in the dose needed to reach adequate levels of anticoagulation i.e. INR 2.0 – 3.0. The objective of this thesis was to evaluate which factors, mainly genetic but also non-genetic, that affect the response to warfarin in terms of required maintenance dose, efficacy and safety with special focus on warfarin dose prediction. Through candidate gene and genome-wide studies, we have shown that the genes CYP2C9 and VKORC1 are the major determinants of warfarin maintenanc

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Feroce, Marcello. "Cros-Organism Annotation Prediction through Deep Learning Algorithms." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/14244/.

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Studying how genes or proteins influence humans and other species' lives is paramount. To study that, it's necessary to know which functional properties are specific for each gene or protein. The association between one gene or protein and a functional properties is called annotation. An annotion can be 0 or 1. 1 means that gene or protein contributes to the activation of a certain functional property. Functional properties are referred by terms, which are strings that belong to ontologies. This work aim is to predict novel gene annotations for little know species such as Bos Taurus. To predic

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Gamalielsson, Jonas. "Models for Protein Structure Prediction by Evolutionary Algorithms." Thesis, University of Skövde, Department of Computer Science, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-623.

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<p>Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimisation problems in applications where the search space is large and badly understood. EAs are therefore among the most promising classes of algorithms for solving the Protein Structure Prediction Problem (PSPP). The PSPP is how to derive the 3D-structure of a protein given only its sequence of amino acids. This dissertation defines, evaluates and shows limitations of simplified models for solving the PSPP. These simplified models are off-lattice extensions to the lattice HP model which has bee

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Samuelsson, Oscar. "Benchmarking Global Optimization Algorithms for Core Prediction Identification." Thesis, Linköpings universitet, Reglerteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-61253.

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Mathematical modeling has evolved from being a rare event to becoming a standardapproach for investigating complex biological interactions. However, variationsand uncertainties in experimental data usually result in uncertain estimatesof the parameters of the model. It is possible to draw conclusions from the modeldespite uncertain parameters by using core predictions. A core prediction is amodel property which is valid for all parameter vectors that fit data at an acceptablecost. By validating the core prediction with additional experimentalmeasurements one can draw conclusions about the over

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Jabbari, Hosna. "Algorithms for prediction of RNA pseudoknotted secondary structures." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/52396.

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RNA molecules are crucial in different levels of cellular function, and their functions largely depend on their structures. Since experimental methods for determining RNA structure are expensive, computational methods for prediction of RNA secondary structure (the set of base pairs) are valuable. One such approach is based on the Minimum Free Energy (MFE) folding hypothesis, which states an RNA molecule folds into the structure with the minimum free energy. Another approach is based on the hierarchical folding hypothesis, which posits that an RNA molecule first folds into a psuedoknot- free st

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Hosur, Raghavendra. "Structure-based algorithms for protein-protein interaction prediction." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75843.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 109-124).<br>Protein-protein interactions (PPIs) play a central role in all biological processes. Akin to the complete sequencing of genomes, complete descriptions of interactomes is a fundamental step towards a deeper understanding of biolog

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McElwaine, James Nicholas. "Approximate consistency and prediction algorithms in quantum mechanics." Thesis, University of Cambridge, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.627040.

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Djurdjević, Dušan. "Ab initio protein fold prediction using evolutionary algorithms." Thesis, University of Edinburgh, 2006. http://hdl.handle.net/1842/13660.

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A comprehensive study was undertaken for <i>ab initio </i>protein fold prediction using a fully atomistic protein model and a physicochemical potential. Twenty four EA designs where initially assessed on polyalanine, a prototypical α-helical polypeptide. Design aspects varied include the encoding alphabet, crossover operator, replacement strategy and selection strategy. By undertaking a comprehensive parameter study, the best performing designs and associated control parameter values were identified for polyalanine. The scaling between the performance and polyalinine size was also identified

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Rudra, Angsuman Carleton University Dissertation Engineering Systems and Computer. "Statistical range prediction algorithms for indoor wireless systems." Ottawa, 1995.

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Granström, Daria, and Johan Abrahamsson. "Loan Default Prediction using Supervised Machine Learning Algorithms." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252312.

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It is essential for a bank to estimate the credit risk it carries and the magnitude of exposure it has in case of non-performing customers. Estimation of this kind of risk has been done by statistical methods through decades and with respect to recent development in the field of machine learning, there has been an interest in investigating if machine learning techniques can perform better quantification of the risk. The aim of this thesis is to examine which method from a chosen set of machine learning techniques exhibits the best performance in default prediction with regards to chosen model

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Osypenko, Volodymyr, and Gregory Ivachnenko. "Algorithm for intelligent prediction of failure moments in computer systems." Thesis, Київський національний університет технологій та дизайну, 2021. https://er.knutd.edu.ua/handle/123456789/19177.

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Hopkins, Brad Michael. "A Wavelet-Based Rail Surface Defect Prediction and Detection Algorithm." Diss., Virginia Tech, 2012. http://hdl.handle.net/10919/77351.

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Early detection of rail defects is necessary for preventing derailments and costly damage to the train and railway infrastructure. A rail surface flaw can quickly propagate from a small fracture to a broken rail after only a few train cars have passed over it. Rail defect detection is typically performed by using an instrumented car or a separate railway monitoring vehicle. Rail surface irregularities can be measured using accelerometers mounted to the bogie side frames or wheel axles. Typical signal processing algorithms for detecting defects within a vertical acceleration signal use a simple

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Rankenburg, Ivan. "Application of the difference map algorithm to protein structure prediction." Saarbrücken VDM Verlag Dr. Müller, 2007. http://d-nb.info/991338103/04.

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陳琮貿. "Segmental Mobility Prediction Algorithm." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/29497200589701532868.

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碩士<br>國立臺灣師範大學<br>工業教育學系<br>96<br>Traditional DSR and AODV routing protocol use the shortest path routing as the police to find the destination of the path chosen strategy. However shortest path routing isn’t the fastest or most efficient path to the destination. DOA is the integration of DSR and AODV in subparagraph network topology. This paper reports that using GPS signals support, calculated between the two nodes can be connected around the time forecast to do so on the Ad Hoc Wireless Network environment. And we compute node’s mobile rate thereby limiting the authority by using GPS inform

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Haung, Bo-Wei, and 黃柏崴. "A Hybrid Prediction Algorithm for Traffic Speed Data Prediction." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/72016567401844091245.

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碩士<br>國立交通大學<br>資訊科學與工程研究所<br>101<br>Many types of data can be regarded as time series data. Therefore time series data predictions are applied in a wide range of domains, such as investment, traffic prediction, etc. Traffic status prediction can be used for congestion avoidance and travel planning. We solve the problem of predicting traffic status by time series prediction. The time series data prediction problem is that given a query time and time series data, we intend to predict the data value at the query time. Usually, a query time will be a future time. In this paper, we propose a hybri

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Huang, Cheng-Yi, and 黃丞毅. "Aggressive Reclaim with Prediction Algorithm." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/28740796810726614623.

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碩士<br>國立高雄大學<br>資訊工程學系碩士班<br>103<br>In many systems, some tasks will execute periodically and aperiodic user requests such as searching and execution commands are issued. It is an important research issue to execute tasks with considering simultaneously energy efficiency and finish aperiodic jobs as soon as possible. The objective of this paper is to study the scheduling problem of mixed task sets in real-time systems. The proposed scheduling algorithm for a mixed task set must minimize the energy consumption of the overall system, meet the timing constraints of periodic tasks, and minimize th

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An-ChaoTsai and 蔡安朝. "Fast Algorithms for Intra Prediction in H.264/AVC Encoder and Image Scaling Algorithm for SVC." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/94007741204628167383.

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博士<br>國立成功大學<br>電機工程學系碩博士班<br>98<br>H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. In H.264/AVC intra frame coding, the rate-distortion optimization (RDO) is employed to select the optimal coding mode to achieve the minimum rate-distortion cost. Due to a large number of combinations of coding modes, the computational burden of intra prediction becomes extremely high for real time applications. This dissertation aims to propose fast algorithms for intra coding to enhance the coding speed while ret

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Lin, Yen Chi, and 林言致. "Computational algorithm for microRNA target prediction." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/52776987904393623997.

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碩士<br>長庚大學<br>生物醫學研究所<br>97<br>TargetScan is a widely used online database which predicts microRNA targets with site efficacy calculated based on the general features. We downloaded the TargetScan script and modified the algorithm to improve its utility and flexibility on target prediction. The modified algorithm allows target predictions to be performed across different species. In addition, the species conservation constrain is changed to be optional. These modifications offer the flexibility which is needed when predicting targets for viral and other newly identified. Furthermore, We separa

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