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Dissertations / Theses on the topic 'Hybrid classifier'

Author: Grafiati

Published: 11 March 2023

Last updated: 26 July 2025

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1

Vishnampettai, Sridhar Aadhithya. "A Hybrid Classifier Committee Approach for Microarray Sample Classification." University of Akron / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1312341058.

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Nair, Sujit S. "Coarse Radio Signal Classifier on a Hybrid FPGA/DSP/GPP Platform." Thesis, Virginia Tech, 2009. http://hdl.handle.net/10919/76934.

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The Virginia Tech Universal Classifier Synchronizer (UCS) system can enable a cognitive receiver to detect, classify and extract all the parameters needed from a received signal for physical layer demodulation and configure a cognitive radio accordingly. Currently, UCS can process analog amplitude modulation (AM) and frequency modulation (FM) and digital narrow band M-PSK, M-QAM and wideband signal orthogonal frequency division multiplexing (OFDM). A fully developed prototype of UCS system was designed and implemented in our laboratory using GNU radio software platform and Universal Software R

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Sayin, Günel Burcu. "Towards Reliable Hybrid Human-Machine Classifiers." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/349843.

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In this thesis, we focus on building reliable hybrid human-machine classifiers to be deployed in cost-sensitive classification tasks. The objective is to assess ML quality in hybrid classification contexts and design the appropriate metrics, thereby knowing whether we can trust the model predictions and identifying the subset of items on which the model is well-calibrated and trustworthy. We start by discussing the key concepts, research questions, challenges, and architecture to design and implement an effective hybrid classification service. We then present a deeper investigation of each ser

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Zimit, Sani Ibrahim. "Hybrid approach to interpretable multiple classifier system for intelligent clinical decision support." Thesis, University of Reading, 2013. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.631699.

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Data-driven decision support approaches have been increasingly employed in recent years in order to unveil useful diagnostic and prognostic patterns from data accumulated in clinical repositories. Given the diverse amount of evidence generated through everyday clinical practice and the exponential growth in the number of parameters accumulated in the data, the capability of finding purposeful task-oriented patterns from patient records is crucial for providing effective healthcare delivery. The application of classification decision support tool in clinical settings has brought about formidabl

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Lou, Wan Chan. "A hybrid model of tree classifier and neural network for university admission recommender system." Thesis, University of Macau, 2008. http://umaclib3.umac.mo/record=b1783609.

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Toubakh, Houari. "Automated on-line early fault diagnosis of wind turbines based on hybrid dynamic classifier." Thesis, Lille 1, 2015. http://www.theses.fr/2015LIL10100/document.

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L'objectif principal de cette thèse est de développer un schéma générique et adaptatif basée sur les approches d'apprentissage automatique, intégrant des mécanismes de détection et d'isolation des défauts avec une force d’apparition progressive. Le but de ce schéma est de réaliser le diagnostic en ligne des défauts simple et multiple de type dérive dans les systèmes éoliens, et plus particulièrement dans le système du calage des pales et le convertisseur de puissance. Le schéma proposé est basé sur la décomposition du système éolien en plusieurs composantes. Ensuite, un classifieur est conçu e

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Rasheed, Sarbast. "A Multiclassifier Approach to Motor Unit Potential Classification for EMG Signal Decomposition." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/934.

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EMG signal decomposition is the process of resolving a composite EMG signal into its constituent motor unit potential trains (classes) and it can be configured as a classification problem. An EMG signal detected by the tip of an inserted needle electrode is the superposition of the individual electrical contributions of the different motor units that are active, during a muscle contraction, and background interference. <BR>This thesis addresses the process of EMG signal decomposition by developing an interactive classification system, which uses multiple classifier fusion techniqu

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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/16436/1/Christopher_McCool_Thesis.pdf.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the acc

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McCool, Christopher Steven. "Hybrid 2D and 3D face verification." Queensland University of Technology, 2007. http://eprints.qut.edu.au/16436/.

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Face verification is a challenging pattern recognition problem. The face is a biometric that, we as humans, know can be recognised. However, the face is highly deformable and its appearance alters significantly when the pose, illumination or expression changes. These changes in appearance are most notable for texture images, or two-dimensional (2D) data. But the underlying structure of the face, or three dimensional (3D) data, is not changed by pose or illumination variations. Over the past five years methods have been investigated to combine 2D and 3D face data to improve the accuracy an

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Al-Ani, Ahmed Karim. "An improved pattern classification system using optimal feature selection, classifier combination, and subspace mapping techniques." Thesis, Queensland University of Technology, 2002.

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11

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

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

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Nasser, Al-Fayadh. "Efficient hybrid classified vector quantisation technique for image compression with application to medical images." Thesis, Liverpool John Moores University, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.485732.

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The advancement of fields such as multimedia and medical imaging, and the emergence of high resolution digital cameras have necessitated the acquisition, storage and transmission of high resolution digital images. Storage and transmission of such images is expensive in terms of bytes and bandwidth. Although the bandwidth of communication networks has been increasing continuously, the introduction of new services and the expansion of the existing ones demands an even higher bandwidth. There is a need for compressing these images to curtail the storage and transmission load. The research describ

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España, Boquera Salvador. "Contributions to the joint segmentation and classification of sequences (My two cents on decoding and handwriting recognition)." Doctoral thesis, Universitat Politècnica de València, 2016. http://hdl.handle.net/10251/62215.

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[EN] This work is focused on problems (like automatic speech recognition (ASR) and handwritten text recognition (HTR)) that: 1) can be represented (at least approximately) in terms of one-dimensional sequences, and 2) solving these problems entails breaking the observed sequence down into segments which are associated to units taken from a finite repertoire. The required segmentation and classification tasks are so intrinsically interrelated ("Sayre's Paradox") that they have to be performed jointly. We have been inspired by what some works call the "successful trilogy", which refers to the

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Westwood, Jill. "Hybrid creatures : mapping the emerging shape of art therapy education in Australia." Thesis, Goldsmiths College (University of London), 2010. http://research.gold.ac.uk/6318/.

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This PhD provides the first organized view of art therapy education in Australia. It focuses on the theories that are used in this specialized teaching and learning process. It evolved from the authors’ immersion in the field as a migrant art therapy educator to Australia from the UK and a desire to be reflexive on this experience. The research questions aimed to discover the field of art therapy education in Australia: to find out what theories and practices were taught; and where the theoretical influences were coming from, in order to develop understanding of this emerging field. Positioned

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Konstantaras, Anthony J. "Development and analysis of hybrid adaptive neuro-fuzzy inference systems for the recognition of weak signals preceding earthquakes." Thesis, University of Central Lancashire, 2004. http://clok.uclan.ac.uk/19072/.

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Prior to an earthquake, there is energy storage in the seismogenic area, the release of which results in a number of micro-cracks, which in effect produce a weak electric signal. Initially, there is a rapid rise in the number of propagating cracks, which creates a transient electric field. The whole process lasts in the order of several tens of minutes, and the resulting electric signal is considered as an electric earthquake precursor (EEP). Electric earthquake precursor recognition is mainly prevented by the very essence of the signal itself. The nature of the signal, according to the theory

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Westwood, Jill. "Hybrid creatures : mapping the emerging shape of art therapy education in Australia." Thesis, Goldsmiths College (University of London), 2010. http://handle.uws.edu.au:8081/1959.7/506680.

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This PhD provides the first organized view of art therapy education in Australia. It focuses on the theories that are used in this specialized teaching and learning process. It evolved from the authors’ immersion in the field as a migrant art therapy educator to Australia from the UK and a desire to be reflexive on this experience. The research questions aimed to discover the field of art therapy education in Australia: to find out what theories and practices were taught; and where the theoretical influences were coming from, in order to develop understanding of this emerging field. Positioned

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Armstrong, Keith M. "Towards an Ecosophical Praxis of New Media Space design." Thesis, QUT, 2003. https://eprints.qut.edu.au/9073/1/PHDTHESISKMAsmall.pdf.

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This study is an investigation in and through media arts practice. It set out to develop a novel type of new media artistic praxis built upon concepts drawn from the disciplines of scientific and cultural ecology. The rationale for this research was based upon my observation as a practising new media artist that existing praxis in the new media domain appeared to operate largely without awareness of the ecological implications of those practices. The thesis begins by explaining key concepts of ecology, spanning the arts and the sciences. It then outlines the thinking of contem

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Lin, Cheng-Lung, and 林政龍. "Internet Traffic Classification based on Hybrid Naive Bayes HMMs Classifier." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/59142288452653192129.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>96<br>To deal with the large network infrastructure, we must rely on an automatic network management system. Traditionally, most of the firewall simply use the port number of the packets to identify abnormal network traffic. Furthermore, some of them observe the characteristic in application layer to identify abnormal network traffic such as the payload of a packet. However, the traditional security mechanisms encounter difficulties with the increasing popularity of encrypted protocols. Recently, some related researches which can identify application protocol by some

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He, Chun Lei. "Error analysis of a hybrid multiple classifier system for recognizing unconstrained handwritten numerals." Thesis, 2005. http://spectrum.library.concordia.ca/8493/1/MR10287.pdf.

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Since the early 1990s, many research communities, amongst the pattern recognition and machine learning, have shown a growing interest in Multiple Classifier Systems (MCSs), particularly for the recognition of handwritten words and numerals. This thesis is divided into two parts. First, we construct an effective hybrid MCS (HMCS) of handwritten numeral recognition in order to raise the reliability of the entire system. This HMCS is proposed by integrating the cooperation (serial topology) and combination (parallel topology) of three classifiers: SVM, MQDF, and LeNet-5. In cooperation, patterns

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Chen, Jyun-Kai, and 陳俊愷. "CNN-SVM Hybrid Classifier: Multi-label Classification in K-12 Cross-topic Problem." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/6tk9hq.

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碩士<br>國立中央大學<br>資訊工程學系<br>105<br>In the tide of modern technology, there are many significant innovations in human life. The development of the Internet has led to the more rapid delivery of information. From the learning side, the new learning style is gradually changing the habit of traditional learning. In the K-12 system, the question-driven learning is an effective way of learning. The students can confirm their learning status through question exercises and understand the knowledge and concepts expressed by the problem. In order to provide the learning information for the learners, a goo

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Zhang, Ping. "Reliable recognition of handwritten digits using a cascade ensemble classifier system and hybrid features." Thesis, 2006. http://spectrum.library.concordia.ca/8904/1/NR16288.pdf.

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Aiming at a high recognition rate and a low error rate at the same time, a cascade ensemble classifier system is proposed for the recognition of handwritten digits. The tradeoff among the error, rejection and recognition rates of the recognition system is analyzed theoretically. Three solutions are proposed: (i) extracting more discriminative features to attain a high recognition rate, (ii) using ensemble classifiers to suppress the error rate, and (iii) employing a novel cascade system to enhance the recognition rate and to reduce the rejection rate. Based on these strategies, seven sets of d

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PERINA, Alessandro. "Generative models for classification: classification, feature and features organization." Doctoral thesis, 2010. http://hdl.handle.net/11562/343413.

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La classificazione è uno dei problemi più studiati in machine learning e consiste nell'assegnare un etichetta o classed ad oggetti in input sulla base di informazione quantitativa. Esistono due principali tipi di classificatori, i classificatori generativi, basati su di un modello generativo, e i classificatori discriminative, basati sul concetto di confine separatore. In questa tesi viene mostrato cosa un modello generativo può fare per risolvere il problema della classificazione. In particolar un modello generativo può essere usato come classificatore, per organizzare le descrizioni quantita

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Tzu-Lin, Ho, and 何自琳. "A Hybrid Rough Set Classifier based on Multi-Attributes Selection Method for Identifying Financial Distress of Company." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/85063164060011711706.

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碩士<br>國立雲林科技大學<br>資訊管理系<br>102<br>After several decades, the prediction of financial distress is an important and challenging issue. Many researchers have constructed models to deal with bankruptcy prediction and financial crisis, including conventional approaches and artificial intelligence (AI) techniques. Financial distress information will influence the investors’ decision, and the investors depend on the analyst’s opinions and their subjective judgments, it will cause investors/decision-makers to make the wrong decision. Therefore, the objectives of this study is to construct a novel mode

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Rodic, Daniel. "A Hybrid heuristic-exhaustive search approach for rule extraction." Diss., 2001. http://hdl.handle.net/2263/25095.

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The topic of this thesis is knowledge discovery and artificial intelligence based knowledge discovery algorithms. The knowledge discovery process and associated problems are discussed, followed by an overview of three classes of artificial intelligence based knowledge discovery algorithms. Typical representatives of each of these classes are presented and discussed in greater detail. Then a new knowledge discovery algorithm, called Hybrid Classifier System (HCS), is presented. The guiding concept behind the new algorithm was simplicity. The new knowledge discovery algorithm is loosely based on

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Chen, Tian-Xiang, and 陳天祥. "Using the Hybrid of Disparity Map and Multi-Classifier for Road Surface Detection in Outdoor Piloting of Autonomous Land Vehicles." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/aysh4y.

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碩士<br>國立臺北科技大學<br>電腦與通訊研究所<br>97<br>Similar to the function of human eyes, autonomous land vehicle (ALV) uses camera to acquire road information. In this paper, we adopt disparity map (DM) to detect ALV''s march path and various obstacles if may face to. Then we develop several road surface voters to recognize what kind of road surface the ALV drives on. Finally, according to the information we collected, the best navigation can be achieved. After experimenting with our ALV in an outdoor road without pavement markings, the proposed algorithms really work well.

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Chen, Min-Hsien, and 陳民弦. "A Hybrid Classifier for Type 2 Diabetes Based on Decision Tree, Probabilistic Model and Artificial Neural Network- An Empirical Study of Taichung Tzu-chi General Hospital." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/83336301293216144685.

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碩士<br>國立中興大學<br>資訊管理學系所<br>105<br>The National Health Insurance of Taiwan has been gained 70% support from the peoples since 1995. The NHI costs is increasing year by year and keeps shortage of funds from 2007 to 2017, that seems NHI has high utilization rate. Taiwan''s elderly population rate is increasing, and it will account for 20% of total population in 2025. With the increase of the elderly population, the burden of health care costs gets more and more .In 2016, annual top ten causes of death show that Diabetes was within the top 5 during 1995 to 2016. To achieve early prevent

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Hsu, Hsing-Yun, and 許馨勻. "A Hybrid Artificial Neural Network and Decision Tree Based Classifier to Vital Signs of Cardiopulmonary Resuscitation and Intensive Care Unit Patients in Taichung Tzu Chi Hospital." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/34222358377480042639.

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碩士<br>國立中興大學<br>資訊管理學系所<br>104<br>After admitted to the hospital, many patients need CPR or being transferred to ICU for observation with deteriorating conditions due to various reasons. The seven vital signs including body temperature, respiration, pulse, systolic blood pressure, diastolic blood pressure, degree of blood oxygen saturation and pain index are the most basic signals of the physical conditions and are the best indicating indexes that can reflect whether the body functions normally at the first moment. The visual checks are used as the main judgement basis in most of the hospitals

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Tzu-ChienLien and 連子建. "Feature selection methods with hybrid discretizationfor naive Bayesian classifiers." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/95105249459952662675.

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碩士<br>國立成功大學<br>資訊管理研究所<br>100<br>Naïve Bayesian classifier is widely used for classification problems, because of its computational efficiency and competitive accuracy. Discretization is one of the major approaches for processing continuous attributes for naïve Bayesian classifier. Hybrid discretization sets the method for discretizing each continuous attribute individually. A previous study found that hybrid discretization is a better approach to improve the performance of the naïve Bayesian classifier than unified discretization. Selective naïve Bayes, abbreviated as SNB, is an important fe

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Chuan-YuTsai and 蔡荃宇. "Hybrid discretization methods for naive Bayesian classifiers with priors." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/57897752508508533512.

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碩士<br>國立成功大學<br>資訊管理研究所<br>101<br>Classification is a kind of method to deal with the data in the realm of Data Mining. Among all classifier, naïve Bayesian classifier takes the advantage of fast processing along with the simple theory. The nature of the naïve Bayesian classifier is suitable for dealing with data having discrete attribute, however, practically data is likely to be continuous, thus, the selection of proper method of discretization is the key to raise the accuracy of classification. Hybrid discretization method is capable of using proper discretization method for every continuou

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Wang, I.-Shu, and 王怡書. "The construction of multiple-class data based on hybrid classifiers." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/15289623995260957870.

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碩士<br>國立勤益科技大學<br>工業工程與管理系<br>98<br>This paper utilizes Information Gain to extract important features, and compares the performances among combined decision tree (C5) and artificial neural network(ANN)、hybrid support vector machine(SVM) and C5、hybrid bayesian network(BN) and C5. Three hybrid classifiers are developed in this study and the highest accuracy is 94.05% in the multiple–class E.coli dataset. In order to explain this research is widely applicable and is not limited to particular field, we again verify this research architecture on Parkinson dataset and the accuracy is up to 95.38%.

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Cheng, Shang-Wen, and 鄭尚文. "Mode choice models with hybrid decision rules - classified by traveller''s attributes." Thesis, 1996. http://ndltd.ncl.edu.tw/handle/38559191928194626441.

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碩士<br>國立成功大學<br>交通管理(科學)學系<br>84<br>Understanding the process of decision-making by which an individual chooses amode is important for researchers in constructing disaggregate behaviormodels. Most of the existed researches assumed that all individuals use thesame decision rule,or seperated them by an attribute and, futher, explainedone''s decision rule by this attribute.In this study,we try to use two kinds ofchoice model:compensatory model and non- compensatory model to make a

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Yang, Kuo-Hua, and 楊國樺. "Intrusion Detection Systems based on Hybrid Hidden Markov Models and Naïve Bayes Classifiers." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/gwdh9v.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>94<br>Under the internet and attacks modes are complicated environment day by day now, the general network management adopts the firewall as the guarantee measure of the information safety. Generally speaking, Hidden Markov Models detected intrusion detection for more, because it is mostly sequence datasets, especially the anomaly detection systems that we can set up a normal behavior models and the datasets collection of the normal behavior model come from it is system call that generated by users. General on the other hand the Hidden Markov Models model is relative

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Chia-YuYao and 姚佳佑. "Parameter setting methods of hybrid priors for naïveBayesian classifiers with multinomial model in gene sequence data." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/89805330184983862274.

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碩士<br>國立成功大學<br>資訊管理研究所<br>103<br>Due to the development of metagenomics and sequencing, analysts pay more attention to the effectiveness of classification algorithms in processing high dimensional gene sequence data. Naïve Bayesian classifiers are a popular tool for classifying high dimensional gene sequence data because of its computational efficiency and easy implementation. Setting proper parameters for priors have been shown to be an effective way for improving the performance of the naïve Bayesian classifier with multinomial models, called multinomial naïve Bayesian classifiers, in gene

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Jun-JiePeng and 彭俊傑. "Hybrid Energy Efficient Dynamic Bandwidth Allocation with Modified Two-Stage Control Mechanism to Satisfy Classified Delay Constraints in TDM-PONs." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/21996397725709672860.

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(11389916), Md Khairul Islam. "Development of a Hybrid Renewable Energy System for Far North Queensland, Australia." Thesis, 2024. https://figshare.com/articles/thesis/Development_of_a_Hybrid_Renewable_Energy_System_for_Far_North_Queensland_Australia/29043710.

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<p dir="ltr">Hybrid renewable energy systems have been recognised as one of the most appropriate ways to achieve sustainable development in response to climate change and energy shortfalls. The people of Far North Queensland (FNQ) rely on diesel generators for their basic energy needs and are reliant on limited supplies of diesel fuel, causing high levels of greenhouse gas emissions, which damage trees, vegetation, and marine life. This study analysed hybrid energy systems in Doomadgee, FNQ, Australia, which are nearby places having great biodiversity, such as the Great Barrier Reef. Far North

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Uttam, Kumar *. "Algorithms For Geospatial Analysis Using Multi-Resolution Remote Sensing Data." Thesis, 2012. https://etd.iisc.ac.in/handle/2005/2280.

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Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover (LC) dynamics through data, model, and analytics. LC dynamics induced by human and natural processes play a major role in global as well as regional scale patterns, which in turn influence weather and climate. Hence, understanding LC dynamics at the local / regional as well as at global levels is essential to evolve appropriate management strategies to mitigate the impacts of

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Uttam, Kumar *. "Algorithms For Geospatial Analysis Using Multi-Resolution Remote Sensing Data." Thesis, 2012. http://etd.iisc.ernet.in/handle/2005/2280.

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Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover (LC) dynamics through data, model, and analytics. LC dynamics induced by human and natural processes play a major role in global as well as regional scale patterns, which in turn influence weather and climate. Hence, understanding LC dynamics at the local / regional as well as at global levels is essential to evolve appropriate management strategies to mitigate the impacts of

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(7480409), RISHIKESH MAHESH BAGWE. "MODELING AND ENERGY MANAGEMENT OF HYBRID ELECTRIC VEHICLES." Thesis, 2019.

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<div>This thesis proposes an Adaptive Rule-Based Energy Management Strategy (ARBS EMS) for a parallel hybrid electric vehicle (P-HEV). The strategy can effciently be deployed online without the need for complete knowledge of the entire duty cycle in order to optimize fuel consumption. ARBS improves upon the established Preliminary Rule-Based Strategy (PRBS) which has been adopted in commercial vehicles. When compared to PRBS, the aim of ARBS is to maintain the battery State of Charge (SOC) which ensures the availability of the battery over extended distances. The proposed strategy prevents the

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(10702884), Mohammed Naziru Issahaq. "HYBRID CUTTING EXTRUSION OF COMMERCIALLY PURE ALUMINUM ALLOYS." Thesis, 2021.

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<p>Commercial sheets, strips and wires are currently produced from aluminum alloys by multi-step deformation processing involving rolling and drawing. These processes typically require 10 to 20 steps of deformation, since the plastic strain or reduction that can be imposed in a single step is limited by material workability and process mechanics. In this work, a fundamentally different, single-step approach is demonstrated for producing these aluminum products using machining-based deformation that also enables higher material workability in the formed product. Two process routes are proposed

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(9786557), Maureen Chapman. "An exploration of leadership of registered nurses in clinical settings." Thesis, 2017. https://figshare.com/articles/thesis/An_exploration_of_leadership_of_registered_nurses_in_clinical_settings/13444769.

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Nurses provide leadership at various levels throughout healthcare organisations as Directors of Nursing, Chief Nursing Officers, as well as clinical leaders at a unit level. Existing research into nursing leadership has mainly focussed on transformational and transactional forms of leadership, which has been at the expense of exploring more contemporary forms of leadership. Furthermore there is limited research into the experiences of leadership from registered nurses working in the clinical settings. This research explored the extent and appropriateness of four forms of leadership namely tran

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(7036457), Yansong Chen. "THE OPTIMIZATION OF THE ELECTRICAL SYSTEM VOLTAGE RANGE OF MILD HYBRID ELECTRIC VEHICLE." Thesis, 2020.

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<p>The optimization of the electrical system voltage range of a mild hybrid electric vehicle is examined in this research study. The objective is to evaluate and propose the optimized vehicle voltage level for the mild hybrid electric vehicle from both technical and economic aspects. The approach is to evaluate the fuel economy improvement from the mild hybrid electric vehicle of various voltage level for the cost benefit study. The evaluation is conducted from the vehicle system level with discussions of components selection for system optimization. Autonomie, a simulation tool widely used by

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(11796194), Faith McDonald. "A Maelstrom at Sea: hybrid fiction as a resource to transform attitudes and create change." Thesis, 2025. https://figshare.com/articles/thesis/A_Maelstrom_at_Sea_hybrid_fiction_as_a_resource_to_transform_attitudes_and_create_change/29207846.

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This research explores how reflexivity and creating hybrid fiction can transform an individual’s understanding of their experience of culture. The project examines how the process of writing hybrid fiction developed a new understanding of attitudes and perspectives towards the cultural experience of a female Royal Australian Navy veteran. The research – based on my experiences of serving in the Australian Defence Force (ADF) during a border protection operation, being employed in multiple workplaces and working as a secondary educator in Far North Queensland – utilises creative practic

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(7241471), Michael J. Dziekan. "DESIGN OF A HYBRID HYDROGEN-ON-DEMAND AND PRIMARY BATTERY ELECTRIC VEHICLE." Thesis, 2021.

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<p>In recent years lithium-ion battery electric vehicles and stored hydrogen electric vehicles have been developed to address the ever-present threat of climate change and global warming. These technologies have failed to achieve profitability at costs consumers are willing to bear when purchasing a vehicle. IFBattery, Inc. has developed a unique primary battery chemistry which simultaneously produces both electricity and hydrogen-on-demand while being both low cost and without carbon emissions. In order to determine the feasibility of the IFBattery chemistry for mobile applications, a prototy

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(7043354), Himal Agrawal. "Manufacturing and Testing of Composite Hybrid Leaf Spring for Automotive Applications." Thesis, 2019.

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Leaf springs are a part of the suspension system attached between the axle and the chassis of the vehicle to support weight and provide shock absorbing capacity of the vehicle. For more than half a century the leaf springs are being made of steel which increases the weight of the vehicle and is prone to rusting and failure. The current study explores the feasibility of composite leaf spring to reduce weight by designing, manufacturing and testing the leaf spring for the required load cases. An off the shelf leaf spring of Ford F-150 is chosen for making of composite hybrid spring prototype. Th

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(9833834), Steven Senini. "The application of hybrid active filter technology to unbalanced traction loads." Thesis, 1999. https://figshare.com/articles/thesis/The_application_of_hybrid_active_filter_technology_to_unbalanced_traction_loads/13424726.

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This thesis examines the application of hybrid active filter technology to large unbalanced loads such as those presented by electric railway traction systems. The thesis provides a systematic overview of possible hybrid topologies which will provide improvement over existing topologies. Several new topologies are identified in this process. The topologies are analysed to demonstrate the potential reduction in ratings of the active element achieved by the use of the hybrid topologies. A weakness is identified in the areas of signal detection and control system modelling. These areas are also a

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(11153853), Tyler A. Swedes. "Electrification of Diesel-Based Powertrains for Heavy Vehicles." Thesis, 2021.

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<div> In recent decades as environmental concerns and the cost and availability of fossil fuels have become more pressing issues, the need to extract more work from each drop of fuel has increased accordingly. Electrification has been identified as a way to address these issues in vehicles powered by internal combustion engines, as it allows existing engines to be operated more efficiently, reducing overall fuel consumption. Two applications of electrification are discussed in the work presented: a series-electric hybrid powertrain from an on-road class 8 truck, and an electrically supercha

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(6872132), Doosan Back. "APPLICATIONS OF MICROHEATER/RESISTANCE TEMPERATURE DETECTOR AND ELECTRICAL/OPTICAL CHARACTERIZATION OF METALLIC NANOWIRES WITH GRAPHENE HYBRID NETWORKS." Thesis, 2020.

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<div>A microheater and resistance temperature detector (RTD) are designed and fabricated for various applications. First, a hierarchical manifold microchannel heatsink with an integrated microheater and RTDs is demonstrated. Microfluidic cooling within the embedded heat sink improves heat dissipation, with two-phase operation offering the potential for dissipation of very high heat fluxes while maintaining moderate chip temperatures. To enable multi-chip stacking and other heterogeneous packaging approaches, it is important to densely integrate all fluid flow paths into the device. Therefore,

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(10701090), Andrew J. Fairbanks. "Novel Composites for Nonlinear Transmission Line Applications." Thesis, 2021.

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<p>Nonlinear transmission lines (NLTLs) provide a solid state alternative to conventional vacuum based high power microwave (HPM) sources. The three most common NLTL implementations are the lumped element, split ring resonator (SRR), and the nonlinear bulk material based NLTLs. The nonlinear bulk material implementation provides the highest power output of the three configurations, though they are limited to pulse voltages less than 50 kV; higher voltages are possible when an additional insulator is used, typically SF<sub>6</sub> or dielectric oil, between the nonlinear material and the outer

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(10723164), Suki N. Zhang. "Electronic Application of Two Dimensional Materials." Thesis, 2021.

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Recent advances in atomically thin two-dimensional materials have led to various promising technologies such as nanoelectronics, sensing, energy storage, and optoelectronics applications. Graphene with sp2-bonded carbon atoms densely packed in a honeycomb crystal lattice has attracted tremendous interest with excellent electrical, optical, mechanical, and chemical properties. In this work, graphene’s mechanical properties, chemical properties, and piezoelectric properties are explored as graphene is implemented in the automotive electrical distribution system. Graphene is useful in friction re

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(8782580), Di Wang. "Mechanical behaviors of bio-inspired composite materials with functionally graded reinforcement orientation and architectural motifs." Thesis, 2020.

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<p>Naturally-occurring biological materials with stiff mineralized reinforcement embedded in a ductile matrix are commonly known to achieve excellent balance between stiffness, strength and ductility. Interestingly, nature offers a broad diversity of architectural motifs, exemplify the multitude of ways in which exceptional mechanical properties can be achieved. Such diversity is the source of bio-inspiration and its translation to synthetic material systems. In particular, the helicoid and the “brick and mortar” architectured materials are two key architectural motifs we are going to study an

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