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Relevant bibliographies by topics / Multi-machine / Dissertations / Theses

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Dissertations / Theses on the topic 'Multi-machine'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Chow, K. W. "Multi-processor architecture for machine vision." Thesis, Cardiff University, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.358531.

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2

Garnes, Håvard Husevåg. "Access Control in Multi-Thousand-Machine Datacenters." Thesis, Norwegian University of Science and Technology, Department of Telematics, 2008. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9730.

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<p>Large data centers are used for large-scale high-performance tasks that often includes processing and handling sensitive information. It is therefore important to have access control systems that are able to function in large-scale data centers. This thesis looks into existing solutions for the authentication step of access control in large data centers, and analyses how two authentication systems, Kerberos and PKI, will perform when employed on a larger scale, beyond what is normal in a large data center today. The emphasis in the analysis is on possible bottlenecks in the system, comput

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3

Kew, Min Shen Peter. "Dynamic analysis of multi-machine electromechanical systems." Thesis, University of Aberdeen, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.290341.

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This thesis describes the detailed modelling procedures for d-q axis representation of multi-machine electromechanical systems. It proposes two methods of connecting electrical machine models which have been formulated in various reference frames, to transmission network models. Investigation of these two methods was accomplished, and the effectiveness and merits of each are fully discussed. Conclusions are drawn which form the bases for recommendation of a connection method for developing a generalised multi-machine power system model. In addition two computer programs are written to provide

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4

Covella, Vito Vincenzo. "Multi-node Fault Classification using Machine Learning." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22867/.

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An HPC system, a system with much more computational power than general computing systems, is a complex system made up of different sections and many computing nodes. In such systems failures can arise for different reasons: because of the interactions among the components, because of the specific technologies used or because of bugs in the software. In order to reach Exascale performances and guarantee availability and reliability it is important to detect and recover from these anomalies. In this thesis we propose a fault classification method based on machine learning. Other researchers

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5

Wong, Chi Man. "Extreme learning machine for multi-class classification." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3948432.

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6

Emenonye, Don-Roberts Ugochukwu. "Application of Machine Learning to Multi Antenna Transmission and Machine Type Resource Allocation." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/99956.

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Wireless communication systems is a well-researched area in electrical engineering that has continually evolved over the past decades. This constant evolution and development have led to well-formulated theoretical baselines in terms of reliability and efficiency. However, most communication baselines are derived by splitting the baseband communications into a series of modular blocks like modulation, coding, channel estimation, and orthogonal frequency modulation. Subsequently, these blocks are independently optimized. Although this has led to a very efficient and reliable process, a theoreti

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7

Monti, Johanna. "Multi-word unit processing in machine translation. Developing and using language resources for multi-word unit processing in machine translation." Doctoral thesis, Universita degli studi di Salerno, 2015. http://hdl.handle.net/10556/2042.

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8

Lagerkvist, Mikael Zayenz. "Machine Assisted Reasoning for Multi-Threaded Java Bytecode." Thesis, KTH, Electronic, Computer and Software Systems, ECS, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-9512.

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<p>In this thesis an operational semantics for a subset of the Java Virtual Machine (JVM) is developed and presented. The subset contains standard operations such as control flow, computation, and memory management. In addition, the subset contains a treatment of parallel threads of execution.</p><p> </p><p>The operational semantics are embedded into a $µ$-calculus based proof assistant, called the VeriCode Proof Tool (VCPT). VCPT has been developed at the Swedish Institute of Computer Science (SICS), and has powerful features for proving inductive assertions.</p><p> </p><p>Some examples of pr

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9

葉賜權 and Chee-kuen Yip. "Machine recognition of multi-font printed Chinese Characters." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1990. http://hub.hku.hk/bib/B31210120.

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10

Pickup, Lyndsey C. "Machine learning in multi-frame image super-resolution." Thesis, University of Oxford, 2007. http://ora.ox.ac.uk/objects/uuid:88c6968f-1e62-4d89-bd70-604bf1f41007.

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Multi-frame image super-resolution is a procedure which takes several noisy low-resolution images of the same scene, acquired under different conditions, and processes them together to synthesize one or more high-quality super-resolution images, with higher spatial frequency, and less noise and image blur than any of the original images. The inputs can take the form of medical images, surveillance footage, digital video, satellite terrain imagery, or images from many other sources. This thesis focuses on Bayesian methods for multi-frame super-resolution, which use a prior distribution over the

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11

Ni, Yizhao. "Beyond multi-class : structured learning for machine translation." Thesis, University of Southampton, 2010. https://eprints.soton.ac.uk/158565/.

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In this thesis, we explore and present machine learning (ML) approaches to a particularly challenging research area – machine translation (MT). The study aims at replacing or developing each component in the MT system with an appropriate discriminative model, where the ultimate goal is to create a powerful MT system with cutting-edge ML techniques. The study regards each sub-problem encountered in the MT field as a classification or regression problem. To model specific mappings in MT tasks, the modern machine learning paradigm known as “structured learning” is pursued. This approach goes beyo

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12

Filali, Karim. "Multi-dynamic Bayesian networks for machine translation and NLP /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6857.

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13

Siriwardana, Pallege Gamini Dilupa. "Machine learning-based multi-robot cooperative transportation of objects." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/14700.

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Multi robot cooperative transportation is an important research area in the multi robot domain. In the process of object transportation, several autonomous robots navigate cooperatively in either a static or a dynamic environment to transport an object to a goal location and orientation. The environment may consist of both fixed and removable obstacles and it will be subject to uncertainty and unforeseen changes within the environment. Furthermore, more than one robot may be required in a cooperative mode for handling heavy and large objects. These are some of the challenges addressed in the p

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14

Browne, R. G. "Transputer multi-processing and other topics in machine vision." Thesis, University of Canterbury. Electrical and Electronic Engineering, 1989. http://hdl.handle.net/10092/6532.

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This thesis is concerned with machine vision including its application to the task of detecting surface blemishes and shape defects in kiwifruit at a rate of four fruit per second. Existing machine vision technology is subject to the twin constraints of large data volumes and restricted processing time. Two approaches to this problem are explored: the use of large processing power, and the reduction of the data volume. The provision of large processing power is achieved through the use of networks containing large numbers of micro-processors. The establishment of a Transputer Image Processing

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15

Foley, J. R. "A hardware simulator for a multi-ring dataflow machine." Thesis, University of Manchester, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.379171.

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16

Chen, Li. "Statistical Machine Learning for Multi-platform Biomedical Data Analysis." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/77188.

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Recent advances in biotechnologies have enabled multiplatform and large-scale quantitative measurements of biomedical events. The need to analyze the produced vast amount of imaging and genomic data stimulates various novel applications of statistical machine learning methods in many areas of biomedical research. The main objective is to assist biomedical investigators to better interpret, analyze, and understand the biomedical questions based on the acquired data. Given the computational challenges imposed by these high-dimensional and complex data, machine learning research finds its new opp

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17

Yang, Xue Jiao. "Supervisory wide-area control for multi-machine power system." Thesis, University of Manchester, 2012. https://www.research.manchester.ac.uk/portal/en/theses/supervisory-widearea-control-for-multimachine-power-system(6c0575f9-7b20-4751-9d67-276aaaa4c7b2).html.

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With the increasing demand for electrical power and the growing need for the restructuring of the power industry, electric power systems have become highly complex with inherent complicated dynamics. Therefore, the study of power system stability has continued to receive significant attention from both academic researchers and industrial practitioners. This thesis focuses on supervisory wide-area control for rotor angle stability of multi-machine power systems using Linear Quadratic Gaussian/Loop Transfer Recovery (LQG/LTR) control theory with guaranteed robustness. The supervisory controllers

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18

Saadeh, Angelo. "Applications of secure multi-party computation in Machine Learning." Electronic Thesis or Diss., Institut polytechnique de Paris, 2023. http://www.theses.fr/2023IPPAT022.

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La préservation des données privées dans l'apprentissage automatique et l'analyse des données devient de plus en plus importante à mesure que la quantité d'informations personnelles sensibles collectées et utilisées par les organisations continue de croître. Cela pose le risque d'exposer des informations personnelles sensibles à des tiers malveillants, ce qui peut entraîner un vol d'identité, une fraude financière ou d'autres types de cybercriminalité. Les lois contre l'utilisation des données privées sont importantes pour protéger les individus contre l'utilisation et le partage de leurs info

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19

Miller, Lee Norris. "Design and Analysis of a Compact, Economical, Multi-axis, Multi-tasking, Small Part Machine Tool." VCU Scholars Compass, 2005. http://scholarscompass.vcu.edu/etd_retro/157.

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Manufacturers around the world are increasingly challenged to make components that are becoming smaller, more precise, more complex, and comprised of many more features. When manufactured components require precision, when they are very complex, or when they have multiple features, especially three dimensional features, manufacturers must often resort to machining. Machining smaller parts, however, can be particularly challenging. In this thesis, the issues associated with machining small parts are examined and a brief overview of the equipment available to machine small parts is considered. A

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20

Holmes, Michael P. "Multi-tree Monte Carlo methods for fast, scalable machine learning." Diss., Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/33865.

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As modern applications of machine learning and data mining are forced to deal with ever more massive quantities of data, practitioners quickly run into difficulty with the scalability of even the most basic and fundamental methods. We propose to provide scalability through a marriage between classical, empirical-style Monte Carlo approximation and deterministic multi-tree techniques. This union entails a critical compromise: losing determinism in order to gain speed. In the face of large-scale data, such a compromise is arguably often not only the right but the only choice. We refer to this ne

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21

Ben, Taieb Souhaib. "Machine learning strategies for multi-step-ahead time series forecasting." Doctoral thesis, Universite Libre de Bruxelles, 2014. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209234.

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How much electricity is going to be consumed for the next 24 hours? What will be the temperature for the next three days? What will be the number of sales of a certain product for the next few months? Answering these questions often requires forecasting several future observations from a given sequence of historical observations, called a time series. <p><p>Historically, time series forecasting has been mainly studied in econometrics and statistics. In the last two decades, machine learning, a field that is concerned with the development of algorithms that can automatically learn from data, ha

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22

Trumble, Matthew. "Machine learning for human performance capture from multi-viewpoint video." Thesis, University of Surrey, 2019. http://epubs.surrey.ac.uk/850064/.

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Performance capture is used extensively within the creative industries to efficiently produce high quality, realistic character animation in movies and video games. Existing commercial systems for performance capture are limited to working within constrained environments, requiring wearable visual markers or suits, and frequently specialised imaging devices (e.g. infra-red cameras) both of which limit deployment scenarios (e.g. indoor capture). This thesis explores novel methods to relax these constraints, applying machine learning techniques to estimate human pose using regular video cameras

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23

Perez, Jorge (Jorge I. ). "Designing interaction for human-machine collaboration in multi-agent scheduling." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/106007.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<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 (pages 57-58).<br>In the field of multi-agent task scheduling, there are many algorithms that are capable of minimizing objective functions when the user is able to specify them. However, there is a need for systems and algorithms

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24

Thibault, Jean-Philippe. "Interprétation d'environnement évolutif par une machine de perception multi-sensorielle." Toulouse 3, 1993. http://www.theses.fr/1993TOU30038.

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Une machine de perception multi-sensorielle est un systeme informatique qui recoit continuement et va rechercher de facon active des informations sur son environnement, en vue de maintenir des interpretations coherentes de l'evolution de celui-ci. Ce travail porte sur une machine de perception dans un environnement en grande partie structure, avec beaucoup de connaissances sur ses caracteristiques, et une modelisation fine des objets y figurant. Les interpretations plausibles de l'environnement y sont limitees et peuvent etre specifiees sur la base de la modelisation effectuee. Les interpretat

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25

Belin, Stella. "Transparent Machine Learning for Multi-Omics Analysis of Mental Disorders." Thesis, Uppsala universitet, Institutionen för biologisk grundutbildning, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415531.

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Schizophrenia and bipolar disorder are two severe mental disorders that affect more than 65 million individuals worldwide. The aim of thisproject was to find co-prediction mechanisms for genes associated with schizophrenia and bipolar disorder using a multi-omics data set and a transparent machine learning approach. The overall purpose of theproject was to further understand the biological mechanisms of these complex disorders. In this work, publicly available multi-omics data collected from post-mortem brain tissue were used. The omics types included were gene expression, DNA methylation, and

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26

Ding, Sihao. "Multi-Perspective Image and Video Processing for Human-Machine Interaction." The Ohio State University, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=osu1488462115943949.

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27

KHAN, IHTESHAM. "Machine Learning for Multi-Layer Open and Disaggregated Optical Networks." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2964786.

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28

Shevade, Shrinidhee. "Minimizing Makespan of a Multi-mode, Multi-item Packaging Machine Subject to Resource and Inventory Constraints." University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1471254235.

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29

Ouadou, Kamel Eddine. "Amf : Un modèle d'architecture multi-Agents Multi-Facettes pour interfaces homme-machine et les outils associés." Ecully, Ecole centrale de Lyon, 1994. http://www.theses.fr/1994ECDL0038.

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Un modele d'architecture pour interfaces homme-machine propose une structuration du logiciel interactif (li) avec comme objectif de faciliter l'elaboration de l'interface homme-machine de qualite, d'automatiser cette elaboration et prendre naturellement en compte des standards. Plusieurs modeles ont ete proposes, mais aucun d'entre eux n'est encore arrive a satisfaire l'ensemble des objectifs identifies. Nous avons etudie, dans le cadre de cette these, les principaux aspects qui interviennent dans l'elaboration d'un logiciel interactif et qui conditionnent son architecture. (des styles et mode

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30

Dong, Lin. "A Comparison of Multi-instance Learning Algorithms." The University of Waikato, 2006. http://hdl.handle.net/10289/2453.

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Motivated by various challenging real-world applications, such as drug activity prediction and image retrieval, multi-instance (MI) learning has attracted considerable interest in recent years. Compared with standard supervised learning, the MI learning task is more difficult as the label information of each training example is incomplete. Many MI algorithms have been proposed. Some of them are specifically designed for MI problems whereas others have been upgraded or adapted from standard single-instance learning algorithms. Most algorithms have been evaluated on only one or two benchmark d

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31

Stakovska, Meri. "Improving search results with machine learning : Classifying multi-source data with supervised machine learning to improve search results." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75598.

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Sony’s Support Application team wanted an experiment to be conducted by which they could determine if it was suitable to use Machine Learning to improve the quantity and quality of search results of the in-application search tool. By improving the quantity and quality of the results the team wanted to improve the customer’s journey. A supervised machine learning model was created to classify articles into four categories; Wi-Fi & Connectivity, Apps & Settings, System & Performance, andBattery Power & Charging. The same model was used to create a service that categorized the sea

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32

Hjalmarsson, Victoria. "Machine learning and Multi-criteria decision analysis in healthcare : A comparison of machine learning algorithms for medical diagnosis." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-33940.

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Medical records consist of a lot of data. Nevertheless, in today’s digitized society it is difficult for humans to convert data into information and recognize hidden patterns. Effective decision support tools can assist medical staff to reveal important information hidden in the vast amount of data and support their medical decisions. The objective of this thesis is to compare five machine learning algorithms for clinical diagnosis. The selected machine learning algorithms are C4.5, Random Forest, Support Vector Machine (SVM), k-Nearest Neighbor (kNN) and Naïve Bayes classifier. First, the mac

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33

Wang, Ying. "Cooperative and intelligent control of multi-robot systems using machine learning." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/905.

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This thesis investigates cooperative and intelligent control of autonomous multi-robot systems in a dynamic, unstructured and unknown environment and makes significant original contributions with regard to self-deterministic learning for robot cooperation, evolutionary optimization of robotic actions, improvement of system robustness, vision-based object tracking, and real-time performance. A distributed multi-robot architecture is developed which will facilitate operation of a cooperative multi-robot system in a dynamic and unknown environment in a self-improving, robust, and real-time manner

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Wordoffa, Henok, and Ezedin Wangoria. "Alzheimer's Disease Stage Prediction using Machine Learning and Multi Agent System." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1985.

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Context : Alzheimer's disease is a memory impairment disease which mostly affects elderly people. Currently, about 4 million Americans and 5 million Europeans are affected by this disease. The occurrence of Alzheimer's disease is expected to quadruple by the year 2020. Alzheimer's disease cannot be cured or stopped its progression rather delay its progression. Early diagnosis of the disease helps the patients, the caregivers and health institutions to save time, cost and minimize patients suffering. Objectives : In this thesis, different machine learning algorithms used for clas

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35

Wardono, Bagas. "Algorithms for the multi-stage parallel machine problem with buffer constraints." NCSU, 2001. http://www.lib.ncsu.edu/theses/available/etd-20010507-122017.

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<p>WARDONO, BAGAS. Algorithms for the multi-stage parallel machine problem with buffer constraints. (Under the direction of Yahya Fathi).We study two problems in the context of scheduling N jobs on parallel machines in L successive stages with the primary objective of minimizing the makespan. In the first problem we assume that there are unlimited buffer capacities between successive stages. We refer to this problem as the FSPM problem. In the second problem, we assume that the buffer capacities are finite and given, and we refer to it as FSPM/b problem. Both problems are shown to be NP-hard.W

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36

Mahler, Nicolas. "Machine learning methods for discrete multi-scale fows : application to finance." Phd thesis, École normale supérieure de Cachan - ENS Cachan, 2012. http://tel.archives-ouvertes.fr/tel-00749717.

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This research work studies the problem of identifying and predicting the trends of a single financial target variable in a multivariate setting. The machine learning point of view on this problem is presented in chapter I. The efficient market hypothesis, which stands in contradiction with the objective of trend prediction, is first recalled. The different schools of thought in market analysis, which disagree to some extent with the efficient market hypothesis, are reviewed as well. The tenets of the fundamental analysis, the technical analysis and the quantitative analysis are made explicit.

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37

Han, Ji Wan. "A multi-level machine learning system for attention-based object recognition." Thesis, University of Hertfordshire, 2011. http://hdl.handle.net/2299/6377.

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This thesis develops a trainable object-recognition algorithm. This algorithm represents objects using their salient features. The algorithm applies an attention mechanism to speed up feature detection. A trainable component-based object recognition system which implements the developed algorithm has been created. This system has two layers. The first layer contains several individual feature classifiers. They detect salient features which compose higher level objects from input images. The second layer judges if those detected features form a valid object. An object is represented by a featur

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38

Wei, Lai. "Face movement based multi-modality human machine interface for intelligent wheelchairs." Thesis, University of Essex, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.571498.

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This thesis is dedicated to the development of advanced human machine interfaces (HMIs) for elderly people and people with motor disabilities such as spinal cord injury, quadriplegia and amputation. Based on an intelligent wheelchair system developed at the University of Essex, several new face movement based control interfaces are unveiled and utilized to substitute traditional joystick controllers. Color face video from a web camera is applied to track face, head and eye movements of the user. Meanwhile, the concept of multi-modality human machine interface (MMHMI) is introduced to integrate

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Wu, Q. H. "Adaptive and self-tuning control for turbogenerators in multi-machine systems." Thesis, Queen's University Belfast, 1987. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.356906.

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Eerla, Vishwa Shanthi. "Multi-Criteria Mapping Based on Support Vector Machine and Cluster Distance." Master's thesis, Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-212565.

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There was an increase in a number of applications for a master degree program with the growth in time. It takes huge time to process all the application documents of each and every applicant manually and requires a high volume of the workforce. This can be reduced if automation is used for this process. In any case, before that, an analysis of the complete strides required in preparing was precisely the automation must be utilized to diminish the time and workforces must be finished. The application process for the applicant is actually participating in several steps. First, the applicant send

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劉元德. "Mrdbm-a multi-user relational database machine." Thesis, 1991. http://ndltd.ncl.edu.tw/handle/30995908935706351431.

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林金銘. "On multi-objective single machine scheduling problem." Thesis, 1986. http://ndltd.ncl.edu.tw/handle/42009279734672073454.

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Lopes, Noel. "Machine Learning for Adaptive Multi-Core Machines." Doctoral thesis, 2014. http://hdl.handle.net/10316/23773.

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Tese de doutoramento em Engenharia Informática, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra<br>Today, the increasing complexity, performance requirements and cost of current (and future) applications in society is transversal to a wide range of activities, from science to industry. The scale of the data from Web growth and advances in sensor data collection technology have been rapidly increasing the magnitude and complexity of tasks that Machine Learning (ML) algorithms have to solve. This growth is driving the need to extend the applicability of existing ML al

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Gurrala, Gurunath. "Power System Stabilizing Controllers - Multi-Machine Systems." Thesis, 2010. https://etd.iisc.ac.in/handle/2005/1986.

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Electrical Power System is one of the most complex real time operating systems. It is probably one of the best examples of a large interconnected nonlinear system of varying nature. The system needs to be operated and controlled with component or system problems, often with combinatorial complexity. In addition, time scales of operation and control can vary from milliseconds to minutes to hours. It is difficult to maintain such a system at constant operating condition due to both small and large disturbances such as sudden change in loads, change in network configuration, fluctuations in turbi

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Gurrala, Gurunath. "Power System Stabilizing Controllers - Multi-Machine Systems." Thesis, 2010. http://etd.iisc.ernet.in/handle/2005/1986.

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Electrical Power System is one of the most complex real time operating systems. It is probably one of the best examples of a large interconnected nonlinear system of varying nature. The system needs to be operated and controlled with component or system problems, often with combinatorial complexity. In addition, time scales of operation and control can vary from milliseconds to minutes to hours. It is difficult to maintain such a system at constant operating condition due to both small and large disturbances such as sudden change in loads, change in network configuration, fluctuations in turbi

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Kar, Aditya Shankar. "Tuning of Multi-Band Power System Stabilizers in Multi-Machine Power Systems." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4777.

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Intermittent nature of renewables acts as a frequent trigger for small signal oscillations in power grid. These oscillatory modes correspond to either the rotor modes associated with the synchronous machines of conventional generators or control interactions due to the power electronic interfaces in renewable sources. Frequent tuning of power system stabilizers (PSS) of synchronous machines becomes inevitable to maintain small signal stability of the grid over a wide range of operating and system conditions. Multi-band power system stabilizers (MB-PSS or IEEE-PSS4B) play a very important role

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Cho, Wen-Tai, and 卓文泰. "Design and Evaluation of Multi-Layer Blending Machine." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/92382446247383932313.

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碩士<br>逢甲大學<br>紡織工程所<br>93<br>The topic of this study focuses on the structure design of a multi-layered fiber blending chamber for yarn preparation. Staple fibers are fed into a blending chamber to form multi-layers of fibrous layer onto the first conveyer belt via an oscillator that is installed in feed funnel and oscillately lapped fiber tufts in blending chamber, then the fibrous layers are transferred to the second conveyer belt and grabbed vertically by a upright lattice to transfer to delivery funnel via the action of take-off roller. The design of oscillator can distribute fiber tufts u

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Chang, Chih-Cheng, and 張志丞. "Smooth Support Vector Machine for Multi-class Classification." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/n7sreh.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>The smooth technique has been introduced into SVMs for both binary classification and regression problems. In this work, we extend the previous work in Smooth Support Vector Machine (SSVM) from binary to k-class classification based on a single machine approach and call it Multi-class Smooth Support Vector Machine (MSSVM). Similar to other single machine approaches, MSSVM will become very complicated and very difficult to solve when k is large. We only implement MSSVM for trinary classification problems. For k>3, we propose a Smooth One-vs.-One-vs.-Rest (SOOR)

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Wang, Chun-Hsiang, and 王俊翔. "Multi-Spot Temperature Control of Injection Molding Machine." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/75091785696438340274.

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碩士<br>國立高雄第一科技大學<br>系統資訊與控制研究所<br>99<br>Plastic injection products have been widely used, and their applications are still constantly expanding no matter in basic toys, in high-precision opto-discs, mobile /phone part, or in various medical supplies. The demand on the quality of plastic injection products becomes much higher and the dimension accuracy has been demanded in micrometer in stead of millimeter grade. There are many important factors that effect the quality and accuracy of the plastic injection products, and the performance of temperature control is one of them. According to PID

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Fang, Cheng-An, and 方正安. "Development on Virtual Multi-Axis Milling Machine Tool." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/78786033240509127820.

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碩士<br>國立高雄應用科技大學<br>機械與精密工程研究所<br>94<br>The micro-precision process has been paid more and more attention in these years owing to its fast development. However, traditional three-axis milling machine has some restrictions in machining geometry; therefore, a need has arisen in getting more cutting degree of freedom by adding machine axes. Furthermore, the trend in applying multi-axis machine in precision process has been the norm. For example, multi-axis machine has been intensively adopted in machining aerospace components, automobile parts and high-precision mold. The application of virtual r

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