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Dissertations / Theses on the topic 'Objective data'

Author: Grafiati

Published: 29 June 2021

Last updated: 29 July 2025

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1

Kwoh, Chee Keong. "Probabilistic reasoning from correlated objective data." Thesis, Imperial College London, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307686.

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2

Kirkland, Oliver. "Multi-objective evolutionary algorithms for data clustering." Thesis, University of East Anglia, 2014. https://ueaeprints.uea.ac.uk/51331/.

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In this work we investigate the use of Multi-Objective metaheuristics for the data-mining task of clustering. We �first investigate methods of evaluating the quality of clustering solutions, we then propose a new Multi-Objective clustering algorithm driven by multiple measures of cluster quality and then perform investigations into the performance of different Multi-Objective clustering algorithms. In the context of clustering, a robust measure for evaluating clustering solutions is an important component of an algorithm. These Cluster Quality Measures (CQMs) should rely solely on the structur

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PERRA, SILVIA. "Objective bayesian variable selection for censored data." Doctoral thesis, Università degli Studi di Cagliari, 2013. http://hdl.handle.net/11584/266108.

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In this thesis we study the problem of selecting a set of regressors when the response variable follows a parametric model (such as Weibull or lognormal) and observations are right censored. Under a Bayesian approach, the most widely used tools are the Bayes Factors (BFs) which are, however, undefined when using improper priors. Some commonly used tools in literature, which solve the problem of indeterminacy in model selection, are the Intrinsic Bayes factor (IBF) and the Fractional Bayes factor (FBF). The two proposals are not actual Bayes factors but it can be shown that they asymptoticall

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Fieldsend, Jonathan E. "Novel algorithms for multi-objective search and their application in multi-objective evolutionary neural network training." Thesis, University of Exeter, 2003. http://hdl.handle.net/10871/11706.

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5

Brown, Nathan C. (Nathan Collin). "Early building design using multi-objective data approaches." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123573.

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Thesis: Ph. D. in Architecture: Building Technology, Massachusetts Institute of Technology, Department of Architecture, 2019<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 201-219).<br>During the design process in architecture, building performance and human experience are increasingly understood through computation. Within this context, this dissertation considers how data science and interactive optimization techniques can be combined to make simulation a more effective component of a natural early design process. It focuses on conceptual design, since

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Mostaghim, Sanaz. "Multi-objective evolutionary algorithms data structures, convergence, and diversity /." [S.l. : s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=974405604.

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7

Furst, Séverine. "Multi-objective optimization for joint inversion of geodetic data." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS017/document.

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La surface terrestre est affectée par de nombreux processus locaux tels que des événements volcaniques, des glissements de terrain ou des tremblements de terre. Parallèlement à ces processus naturels, les activités anthropiques, y compris l’extraction et le stockage des ressources profondes (par exemple, les minéraux ou les hydrocarbures) façonnent la Terre à différentes échelles spatiales et temporelles. Ces mécanismes produisent une déformation du sol qui peut être détectée par divers instruments et techniques géodésiques tel que le GNSS, l’InSAR, les inclinomètres. Le but de cette thèse est

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8

Fan, Qi. "Multi-Objective Optimization for Data Analytics in the Cloud." Electronic Thesis or Diss., Institut polytechnique de Paris, 2024. http://www.theses.fr/2024IPPAX069.

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Le traitement des requêtes Big Data est devenu de plus en plus important, ce qui a conduit au développement et au déploiement dans le cloud de nombreux systèmes. Cependant, le réglage automatique des nombreux paramètres de ces systèmes Big Data introduit une complexité croissante pour répondre aux objectifs de performance et aux contraintes budgétaires des utilisateurs. La détermination des configurations optimales est un défi en raison de la nécessité de prendre en compte : 1) plusieurs objectifs de performances et contraintes budgétaires concurrents, tels qu'une faible latence et un faible c

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Ray, Subhasis. "Multi-objective optimization of an interior permanent magnet motor." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=116021.

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In recent years, due to growing environmental awareness regarding global warming, green cars, such as hybrid electric vehicles, have gained a lot of importance. With the decreasing cost of rare earth magnets, brushless permanent magnet motors, such as the Interior Permanent Magnet Motor, have found usage as part of the traction drive system in these types of vehicles. As a design issue, building a motor with a performance curve that suits both city and highway driving has been treated in this thesis as a multi-objective problem; matching specific points of the torque-speed curve to the desired

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Golchin, Maryam. "Bicluster Analysis of Biomedical Data based on Multi-objective Evolutionary Optimization." Thesis, Griffith University, 2018. http://hdl.handle.net/10072/376812.

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Knowledge discovery is the process of finding hidden knowledge from a large volume of data that involves data mining. Data mining unveils interesting relationships among data and the results can help to make valuable predictions or recommendation in various applications. Recently, biclustering has become a common method in data mining and pattern recognition. Biclustering is an unsupervised machine learning method that can uncover and extract accurate and useful information from high-dimensional sparse data. Biclustering has found many useful applications for visualization and exploratory anal

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11

Habib, Irfan. "Multi-objective optimisation of compute and data intensive e-science workflows." Thesis, University of the West of England, Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.573383.

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Abstract Raw e-Science data, which may be, for example, MRI brain scans, data from a high energy physics detector or metric data from the earth observation projects needs to undergo a series of computations before meaningful knowledge can be derived. One way to. de- scribe these series of computations on raw e-Science data are workflows. Workflows have emerged as the principle mechanism for describing and enacting complex e-Science analy- sis on distributed infrastructures such as Grids. Workflows provide domain scientists with a systematic, repeatable and reproducible means of conducting scie

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12

Mostaghim, Sanaz [Verfasser]. "Multi-Objective Evolutionary Algorithms : Data Structures, Convergence, and Diversity / Sanaz Mostaghim." Aachen : Shaker, 2005. http://d-nb.info/1181620465/34.

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13

Ludick, Chantel Judith. "Disaggregating employment data to building level : a multi-objective optimisation approach." Diss., University of Pretoria, 2020. http://hdl.handle.net/2263/75596.

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The land use policies and development plans that are implemented in a city contribute to whether the city will be sustainable in the future. Therefore, when these policies are being established they should consider the potential impact on development. An analytical tool, such as land use change models, allow decision-makers to see the possible impact that these policies could have on development. Land use change models like UrbanSim make use of the relationship between households, buildings, and employment opportunities to model the decisions that people make on where to live and work. To be a

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14

Ashoor, Khalil Layla Ali. "Performance analysis integrating data envelopment analysis and multiple objective linear programming." Thesis, University of Manchester, 2013. https://www.research.manchester.ac.uk/portal/en/theses/performance-analysis-integrating-data-envelopment-analysis-and-multiple-objective-linear-programming(65485f28-f6c5-4eff-b422-6dd05f1b46fe).html.

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Firms or organisations implement performance assessment to improve productivity but evaluating the performance of firms or organisations may be complex and complicated due to the existence of conflicting objectives. Data Envelopment Analysis (DEA) is a non-parametric approach utilized to evaluate the relative efficiencies of decision making units (DMUs) within firms or organizations that perform similar tasks. Although DEA measures the relative efficiency of a set of DMUs the efficiency scores generated do not consider the decision maker’s (DM’s) or expert preferences. DEA is used to measure e

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Namavari, Hamed. "Essays on Objective Procedures for Bayesian Hypothesis Testing." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563872718411158.

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16

Burvall, Benjamin. "Improvement of Container Placement Using Multi-Objective Ant Colony Optimization." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-249709.

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High resource requirements on software containers lead to the need for cloud users to find an optimal placement for each container to maximize the resource utilization in the cloud environment. Previous methods have scheduled containers in a cloud environment, optimizing a single objective, both in theory and practice. This thesis presents a Multi-Objective Container Placement Ant Colony Optimization (MOCP-ACO) algorithm, which has not been previously researched. MOCP-ACO is a modified implementation of Ant Colony Optimization, known for solving similar optimization problems, and is compared t

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Yaman, Sibel. "A multi-objective programming perspective to statistical learning problems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/26470.

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Thesis (Ph.D)--Electrical and Computer Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Chin-Hui Lee; Committee Member: Anthony Yezzi; Committee Member: Evans Harrell; Committee Member: Fred Juang; Committee Member: James H. McClellan. Part of the SMARTech Electronic Thesis and Dissertation Collection.

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18

Chan, Ruby Wai-Shan. "A psychovisually-based objective image quality evaluator for DCT-based lossy data compression." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ65150.pdf.

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19

Baker, Keith Richard. "Multiple objective optimisation of data and control paths in a behavioural silicon compiler." Thesis, University of Southampton, 1992. https://eprints.soton.ac.uk/361608/.

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The objective of this research was to implement an `intelligent' silicon compiler that provides the ability to automatically explore the design space and optimise a design, given as a behavioural description, with respect to multiple objectives. The objective has been met by the implementation of the MOODS Silicon Compiler. The user submits goals or objectives to the system which automatically finds near optimal solutions. As objectives may be conflicting, trade-offs between synthesis tasks are essential and consequently their simultaneous execution must occur. Tasks are decomposed into behavi

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McCloskey, Stephen Michael. "Towards Sleep Data Science: Objective Analysis of Sleep Disorders Using Machine Learning Techniques." Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27140.

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In recent years there has been an expansion in the availability of technologies to monitor sleep, however, research into sleep has been restricted by techniques developed early in the sleep science field. Sleep studies are widely conducted, but there are key challenges arising from the differences in equipment, data collection and processing, the confidential nature of medical studies, and the subjective, manual and labour-intensive sleep scoring and measurement. This motivates the need to develop objective, data-driven machine learning methods to analyse sleep and sleep disorders. We develo

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21

Zabaleta, de Larrañaga Iñaki. "Using objective data from movies to predict other movies’ approval rating through Machine Learning." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-22111.

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Machine Learning is improving at being able to analyze data and find patterns in it, but does machine learning have the capabilities to predict something subjective like a movie’s rating using exclusively objective data such as actors, directors, genres, and their runtime? Previous research has shown the profit and performance of actors on certain genres are somewhat predictable. Other studies have had reasonable results using subjective data such as how many likes the actors and directors have on Facebook or what people say about the movie on Twitter and YouTube. This study presents several m

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22

Xu, Cong. "Multi-objective optimization approaches to efficiency assessment and target setting for bank branches." Thesis, University of Manchester, 2018. https://www.research.manchester.ac.uk/portal/en/theses/multiobjective-optimization-approaches-to-efficiency-assessment-and-target-setting-for-bank-branches(eef70a4a-359d-40ed-9b6c-3eeb98fe477a).html.

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This thesis focuses on combining data envelopment analysis (DEA) and multi-objective linear programming (MOLP) methods to set targets by referencing peers' performances and decision-makers' (DMs) preferences. A large number of past papers have proven the importance of a company having a target; however, obtaining a feasible but challenging target has always been a difficult topic for companies. Since DEA was proposed in 1978, it has become one of the most popular performance assessment tools. The performance possibility set and efficient frontier established by DEA provide solid and scientific

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23

Calonder, Michael. "Multi-objective clustering of gene expression data with evolutionary algorithms a query gene approach /." Zürich : ETH, Eidgenössische Technische Hochschule Zürich, Institut für Technische Informatik und Kommunikationsnetze, 2006. http://e-collection.ethbib.ethz.ch/show?type=dipl&nr=229.

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Cornu, Marek. "Local Search, data structures and Monte Carlo Search for Multi-Objective Combinatorial Optimization Problems." Thesis, Paris Sciences et Lettres (ComUE), 2017. http://www.theses.fr/2017PSLED043/document.

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De nombreux problèmes d'optimisation combinatoire considèrent plusieurs objectifs, souvent conflictuels. Cette thèse s'intéresse à l'utilisation de méthodes de recherche locale, de structures de données et de recherche Monte-Carlo pour la recherche de l'ensemble des solutions efficaces de tels problèmes, représentant l'ensemble des meilleurs compromis pouvant être réalisés en considération de tous les objectifs.Nous proposons une nouvelle méthode d'approximation appelée 2-Phase Iterated Pareto Local Search based on Decomposition (2PIPLS/D) combinant les concepts de recherche locale Pareto (PLS

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Chumbinho, Rogřio Paulo Antunes. "Objective analysis of a coastal ocean eddy using satellite AVHRR and in situ hydrographic data /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1993. http://handle.dtic.mil/100.2/ADA275715.

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Chumbinho, Rogerio Paulo Antunes. "Objective analysis of a coastal ocean eddy using satellite AVHRR and in situ hydrographic data." Thesis, Monterey, California. Naval Postgraduate School, 1993. http://hdl.handle.net/10945/26116.

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A common characteristic of the interaction between the coastal topography and eastern boundary currents (EBC) is the appearance of cold filaments and mesoscale eddies. Hydrographic and satellite temperature data obtained during a cruise on board R/V Point Sur off Point Arena, California, in May 1993 were analyzed to study a particular eddy field in this area. The hydrographic data was first used to verify the remotely sensed surface temperature field, using three dimensional data visualization. Selected vertical levels from each hydrographic station were then interpolated into a broader, finer

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Tang, Fan. "HVAC system modeling and optimization: a data-mining approach." Thesis, University of Iowa, 2010. https://ir.uiowa.edu/etd/895.

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Heating, ventilating and air-conditioning (HVAC) system is complex non-linear system with multi-variables simultaneously contributing to the system process. It poses challenges for both system modeling and performance optimization. Traditional modeling methods based on statistical or mathematical functions limit the characteristics of system operation and management. Data-driven models have shown powerful strength in non-linear system modeling and complex pattern recognition. Sufficient successful applications of data mining have proved its capability in extracting models accurately describing

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Gerber, Ronald Evan. "The irradiance distribution at the exit pupil of the objective lens in optical disk data storage." Diss., The University of Arizona, 1995. http://hdl.handle.net/10150/187523.

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This dissertation examines various aspects of optical disk data storage systems from the point of view of the irradiance and phase distributions at the exit pupil of the objective lens. The research topics were chosen in order to address some of the problems facing future generations of optical disk systems. Future optical disks will have a much greater areal data density, and will undoubtedly use a shorter wavelength in order to decrease the size of the optical stylus. The research in this dissertation examines some of the problems inherent in the move to shorter wavelengths. For example, at

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CASTELLETTI, FEDERICO. "Learning Markov Equivalence Classes of Gaussian DAGs via Observational and Interventional Data: an Objective Bayes Approach." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2018. http://hdl.handle.net/10281/199179.

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I modelli grafici basati sull'utilizzo di grafi direzionati (Directed Acyclic Graphs, DAG) hanno acquisito negli ultimi decenni un'ampia popolarità per lo studio della dipendenza tra variabili in molteplici ambiti scientifici. Tipicamente lo scopo è fare inferenza su un modello attraverso i dati, ovvero misurare relazioni di dipendenza tra variabili. La famiglia di indipendenze (marginali) e condizionali codificate dal DAG determinano la sua proprietà markoviana. DAG che racchiudono le medesime indipendenze condizionali sono detti Markov equivalenti. È tuttavia noto che l'utilizzo di dati di n

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Zhang, Zijun. "Wind turbine vibration study: a data driven methodology." Thesis, University of Iowa, 2009. https://ir.uiowa.edu/etd/454.

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Vibrations of a wind turbine have a negative impact on its performance and therefore approaches to effectively control turbine vibrations are sought by wind industry. The body of previous research on wind turbine vibrations has focused on physics-based models. Such models come with limitations as some ideal assumptions do not reflect reality. In this Thesis a data-driven approach to analyze the wind turbine vibrations is introduced. Improvements in the data collection of information system allow collection of large volumes of industrial process data. Although the sufficient information is cont

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Teng, Yan. "Objective speech intelligibility assessment using speech recognition and bigram statistics with application to low bit-rate codec evaluation." Laramie, Wyo. : University of Wyoming, 2007. http://proquest.umi.com/pqdweb?did=1456283581&sid=5&Fmt=2&clientId=18949&RQT=309&VName=PQD.

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Armstrong, Colin Andrew. "The stages of change in exercise adoption and adherence : evaluation of measures with self-report and objective data /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 1998. http://wwwlib.umi.com/cr/ucsd/fullcit?p9904722.

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Korbmacher, Julie M. [Verfasser], and Frauke [Akademischer Betreuer] Kreuter. "New challenges for interviewers when innovating social surveys : linking survey and objective data / Julie M. Korbmacher. Betreuer: Frauke Kreuter." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2014. http://d-nb.info/1067752471/34.

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Leube, Alexander [Verfasser], and Frank [Akademischer Betreuer] Schaeffel. "Depth of focus of the human eye - The transfer from objective data to subjective perception / Alexander Leube ; Betreuer: Frank Schaeffel." Tübingen : Universitätsbibliothek Tübingen, 2018. http://d-nb.info/1199357634/34.

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Bui, Lam Thu Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "The role of communication messages and explicit niching in distributed evolutionary multi-objective optimization." Awarded by:University of New South Wales - Australian Defence Force Academy. School of Information Technology and Electrical Engineering, 2007. http://handle.unsw.edu.au/1959.4/38739.

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Dealing with optimization problems with more than one objective has been an important research area in evolutionary computation. The class of multi-objective problems (MOPs) is an important one because multi-objectivity exists in almost all aspects of human life; whereby there usually exist several compromises in each problem. Multi-objective evolutionary algorithms (MOEAs) have been applied widely in many real-world problems. This is because (1) they work with a population during the course of action, which hence offer more flexible control to find a set of efficient solutions, and (2) real-w

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Hafner, Florian. "IMPROVING AIRLINE SCHEDULE RELIABILITY USING A STRATEGIC MULTI-OBJECTIVE RUNWAY SLOT ASSIGNMENT SEARCH HEURISTIC." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3259.

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Improving the predictability of airline schedules in the National Airspace System (NAS) has been a constant endeavor, particularly as system delays grow with ever-increasing demand. Airline schedules need to be resistant to perturbations in the system including Ground Delay Programs (GDPs) and inclement weather. The strategic search heuristic proposed in this dissertation significantly improves airline schedule reliability by assigning airport departure and arrival slots to each flight in the schedule across a network of airports. This is performed using a multi-objective optimization approach

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Engen, Vegard. "Machine learning for network based intrusion detection : an investigation into discrepancies in findings with the KDD cup '99 data set and multi-objective evolution of neural network classifier ensembles from imbalanced data." Thesis, Bournemouth University, 2010. http://eprints.bournemouth.ac.uk/15899/.

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For the last decade it has become commonplace to evaluate machine learning techniques for network based intrusion detection on the KDD Cup '99 data set. This data set has served well to demonstrate that machine learning can be useful in intrusion detection. However, it has undergone some criticism in the literature, and it is out of date. Therefore, some researchers question the validity of the findings reported based on this data set. Furthermore, as identified in this thesis, there are also discrepancies in the findings reported in the literature. In some cases the results are contradictory.

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Svensson, Patrik. "VoiceSec by Visuera Utveckling av iOS-applikation." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-177023.

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Inom rådgivningsbranschen finns ett ökat behov av bra hjälpmedel för att underlätta rådgivarnas arbete med dokumentation och arkivering av information som uppkommer vid rådgivningssituationer. Målet med examensarbetet var att kunna presentera en färdigställd iOS applikation som erbjuder en lösning på problemet med hjälp av ljudupptagningar. Utifrån en modellerad processbild över systemet togs en kravspecifikation fram. Metoden som användes i projektet har varit en Scrum inspirerad utvecklingsprocess. Först togs en prototyp fram med hjälp av en Storyboard. Därefter fick varje vy utgöra en sprin

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Vanden, Berghen Frank. "Constrained, non-linear, derivative-free, parallel optimization of continuous, high computing load, noisy objective functions." Doctoral thesis, Universite Libre de Bruxelles, 2004. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/211177.

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The main result is a new original algorithm: CONDOR ("COnstrained, Non-linear, Direct, parallel Optimization using trust Region method for high-computing load, noisy functions"). The aim of this algorithm is to find the minimum x* of an objective function F(x) (x is a vector whose dimension is between 1 and 150) using the least number of function evaluations of F(x). It is assumed that the dominant computing cost of the optimization process is the time needed to evaluate the objective function F(x) (One evaluation can range from 2 minutes to 2 days). The algorithm will try to minimize the numb

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Pluskal, Jaroslav. "Pokročilé optimalizační modely v oblasti oběhového hospodářství." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2019. http://www.nusl.cz/ntk/nusl-400459.

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This diploma thesis deals with application optimization method in circular economy branch. The introduction is focused on explaining main features of the issue and its benefits for economy and environment. Afterwards are mentioned some obstacles, which are preventing transition from current waste management. Mathematical apparatus, which is used in practical section, is described in the thesis. Core of the thesis is mathematical optimization model, which is implemented in the GAMS software, and generator of input data is made in VBA. The model includes all of significant waste management optio

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Nyman, Jacob. "Machinery Health Indicator Construction using Multi-objective Genetic Algorithm Optimization of a Feed-forward Neural Network based on Distance." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-298084.

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Assessment of machine health and prediction of future failures are critical for maintenance decisions. Many of the existing methods use unsupervised techniques to construct health indicators by measuring the disparity between the current state and either the healthy or the faulty states of the system. This approach can work well, but if the resulting health indicators are insufficient there is no easy way to steer the algorithm towards better ones. In this thesis a new method for health indicator construction is investigated that aims to solve this issue. It is based on measuring distance afte

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Lust-Hed, Freddie, and Viktor Hedin. "Android vs iPhone : En jämförande studie i applikationsutveckling." Thesis, Uppsala University, Computer Systems Sciences, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-126461.

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<p>Datormobiler (<em>smartphones) </em>har blivit ett populärt fenomen bland mobilanvändare. Det har dykt upp ett flertal stora aktörer på marknaden och i takt med att fler <em>smartphones</em> har utvecklats har också intresset för applikationsutveckling blivit större. En av dessa aktörer är Apple som idag har en betydande marknadsandel efter lanseringen av iPhone. Dock har Google tillsammans med <em>Open Handset Alliance</em> blivit en betydande konkurrent med deras mobila plattform Android.</p><p>Syftet med denna uppsats är att göra en jämförande studie av applikationsutveckling för dessa p

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Dang, Vinh Q. "Evolutionary approaches for feature selection in biological data." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2014. https://ro.ecu.edu.au/theses/1276.

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Data mining techniques have been used widely in many areas such as business, science, engineering and medicine. The techniques allow a vast amount of data to be explored in order to extract useful information from the data. One of the foci in the health area is finding interesting biomarkers from biomedical data. Mass throughput data generated from microarrays and mass spectrometry from biological samples are high dimensional and is small in sample size. Examples include DNA microarray datasets with up to 500,000 genes and mass spectrometry data with 300,000 m/z values. While the availability

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Handouzi, Wahida. "Traitement d'information mono-source pour la validation objective d'un modèle d'anxiété : application au signal de pression sanguine volumique." Thesis, Université de Lorraine, 2014. http://www.theses.fr/2014LORR0237/document.

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La détection et l’évaluation des émotions sont des domaines qui suscitent un grand intérêt par de nombreuses communautés tant au niveau des sciences humaines que des sciences exactes. Dans cette thèse nous nous intéressons à la reconnaissance de l’anxiété sociale qui est une peur irrationnelle ressentie par une personne lors de toute forme de relation sociale. L’anxiété peut être révélée par un ensemble de traits physiques et physiologiques tels que l’intonation de la voix, les mimiques faciales, l’augmentation du rythme cardiaque, le rougissement… etc. L’avantage de l’utilisation des mesures

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Rashid, A. N. M. Bazlur. "Cooperative co-evolution-based feature selection for big data analytics." Thesis, Edith Cowan University, Research Online, Perth, Western Australia, 2021. https://ro.ecu.edu.au/theses/2428.

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The rapid progress of modern technologies generates a massive amount of highthroughput data, called Big Data, which provides opportunities to find new insights using machine learning (ML) algorithms. Big Data consist of many features (attributes). However, irrelevant features may degrade the classification performance of ML algorithms. Feature selection (FS) is a combinatorial optimisation technique used to select a subset of relevant features that represent the dataset. For example, FS is an effective preprocessing step of anomaly detection techniques in Big Cybersecurity Datasets. Evolutiona

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Axisa, Fabrice. "Etudes des Indices Objectifs du Confort Thermique Ressenti chez l’Homme : Microcentrale d’acquisition des paramètres physiologiques pour l’étude des réactions émotionnelles, sensorielles et cognitivesd=Objective indicators for felt comfort : Physiological data micro acquisition system for emotional, sensorial and cognitive reaction of human." Lyon, INSA, 2005. http://www.theses.fr/2005ISAL0025.

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L’optimisation du confort thermique des bâtiments est un compromis entre les contraintes esthétique, fonctionnelles et thermiques. Les contraintes thermiques pour l’amélioration du confort thermique sont définies dans une série de normes de calculs et de mesures. Le modèle PMV, les modèles thermo physiologiques et les indices synthétiques permettent la prévision du confort thermique moyen et l’insatisfaction d’une population. Cependant ces modèles peuvent s’avérer faux pour une personne donnée ou une situation donnée. Avec les mécanismes physiologiques de thermorégulation, le système nerveux a

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47

Handouzi, Wahida. "Traitement d'information mono-source pour la validation objective d'un modèle d'anxiété : application au signal de pression sanguine volumique." Electronic Thesis or Diss., Université de Lorraine, 2014. http://www.theses.fr/2014LORR0237.

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Abstract:

La détection et l’évaluation des émotions sont des domaines qui suscitent un grand intérêt par de nombreuses communautés tant au niveau des sciences humaines que des sciences exactes. Dans cette thèse nous nous intéressons à la reconnaissance de l’anxiété sociale qui est une peur irrationnelle ressentie par une personne lors de toute forme de relation sociale. L’anxiété peut être révélée par un ensemble de traits physiques et physiologiques tels que l’intonation de la voix, les mimiques faciales, l’augmentation du rythme cardiaque, le rougissement… etc. L’avantage de l’utilisation des mesures

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Rekik, Siwar. "Sécurisation de la communication parlée par une techhnique stéganographique." Thesis, Brest, 2012. http://www.theses.fr/2012BRES0061.

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Une des préoccupations dans le domaine des communications sécurisées est le concept de sécurité de l'information. Aujourd’hui, la réalité a encore prouvé que la communication entre deux parties sur de longues distances a toujours été sujet au risque d'interception. Devant ces contraintes, de nombreux défis et opportunités s’ouvrent pour l'innovation. Afin de pouvoir fournir une communication sécurisée, cela a conduit les chercheurs à développer plusieurs schémas de stéganographie. La stéganographie est l’art de dissimuler un message de manière secrète dans un support anodin. L’objectif de base

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Thompson-Arjona, William G. "Curricular Optimization: Solving for the Optimal Student Success Pathway." UKnowledge, 2019. https://uknowledge.uky.edu/ece_etds/139.

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Considering the significant investment of higher education made by students and their families, graduating in a timely manner is of the utmost importance. Delay attributed to drop out or the retaking of a course adds cost and negatively affects a student’s academic progression. Considering this, it becomes paramount for institutions to focus on student success in relation to term scheduling. Often overlooked, complexity of a course schedule may be one of the most important factors in whether or not a student successfully completes his or her degree. More often than not students entering an ins

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Bergström, Anton. "Novelty Search och krav inom evolutionära algoritmer : En jämförelse av FINS och PMOEA för att generera dungeon nivåer med krav." Thesis, Högskolan i Skövde, Institutionen för informationsteknologi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-17603.

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Evolutionära algoritmer har visat sig vara effektiva för att utveckla spelnivåer. Dock finns fortfarande ett behov av nivåer som både uppfyller de krav som spelen har, samt att nivåerna som skapas ska vara så olika som möjligt för att uppmuntra upprepade spelomgångar. För att åstadkomma detta kan man använda Novelty Search. Dock saknar Novelty Search funktioner som gör att populationen vill uppfylla de krav som nivåerna ska ha. Arbetet fokuserar därför på att jämföra två Novelty Search baserade algoritmer som båda uppmuntrar kravuppfyllning: Feasible Infeasible Novelty Search (FINS) och Pareto

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