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Dissertations / Theses on the topic 'Hybrid similarity'

Author: Grafiati

Published: 4 June 2021

Last updated: 26 July 2025

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1

Reel, Parminder. "A hybrid similarity measure framework for multimodal medical image registration." Thesis, Open University, 2016. http://oro.open.ac.uk/47620/.

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Medical imaging is widely used today to facilitate both disease diagnosis and treatment planning practice, with a key prerequisite being the systematic process of medical image registration (MIR) to align either mono or multimodal images of different anatomical parts of the human body. MIR utilises a similarity measure (SM) to quantify the level of spatial alignment and is particularly demanding due to the presence of inherent modality characteristics like intensity non-uniformities (INU) in magnetic resonance images and large homogeneous non-vascular regions in retinal images. While various i

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Vanherweg, Joseph B. R. "HYBRID ROCKET MOTOR SCALING PROCESS." DigitalCommons@CalPoly, 2015. https://digitalcommons.calpoly.edu/theses/1394.

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Hybrid rocket propulsion technology shows promise for the next generation of sounding rockets and small launch vehicles. This paper seeks to provide details on the process of developing hybrid propulsion systems to the academic and amateur rocket communities to assist in future research and development. Scaling hybrid rocket motors for use in sounding rockets has been a challenge due to the inadequacies in traditional boundary layer analysis. Similarity scaling is an amendment to traditional boundary layer analysis which is helpful in removing some of the past scaling challenges. Maintaining g

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Öfverstedt, Johan. "Similarity of Hybrid Object Representations With Applications in Object Recognition and Classification." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-324359.

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Similarity measures between images that are robust to noise and other kinds ofdistortion, while sensitive to transformations in a smooth and stable way, are of great importance in many image analysis problems. In this thesis a family of measures basedon fuzzy set theory which combine shape and intensity, is extended to vector-valued fuzzy sets for hybrid object representations such as intensity and gradient magnitudeas well as multi-spectral images such as color images. Several novel distance measures are proposed, discussed with regards to theoretical and practical properties, and evaluated e

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4

Ceylan, Ugur. "An Ontology-based Hybrid Recommendation System Using Semantic Similarity Measure And Feature Weighting." Master's thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613754/index.pdf.

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The task of the recommendation systems is to recommend items that are relevant to the preferences of users. Two main approaches in recommendation systems are collaborative filtering and content-based filtering. Collaborative filtering systems have some major problems such as sparsity, scalability, new item and new user problems. In this thesis, a hybrid recommendation system that is based on content-boosted collaborative filtering approach is proposed in order to overcome sparsity and new item problems of collaborative filtering. The content-based part of the proposed approach exploits semanti

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Погребняк, Олександр Дмитрович, Александр Дмитриевич Погребняк, Oleksandr Dmytrovych Pohrebniak, et al. "Multifractal analysis of the TiN/Al2O3 coating surface under HCEB modification." Thesis, Sumy State University, 2012. http://essuir.sumdu.edu.ua/handle/123456789/34902.

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New experimental results are presented on the structure and phase composition of hybrid coatings, which were deposited on a substrate of AISI 321 stainless steel using a combination of plasma-detonation and subsequent High-Current Electron Beam (HCEB) treatment. Modes of processing at which the remelting of the material, which allows to obtain high adhesion of protective layers to the substrate surface are selected. Statistical parameters are calculated within two dimensional multifractal detrended fluctuation analysis. It is shown that the generalized Hurst exponent of the surface under

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Williams, Alyssa. "Hybrid Recommender Systems via Spectral Learning and a Random Forest." Digital Commons @ East Tennessee State University, 2019. https://dc.etsu.edu/etd/3666.

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We demonstrate spectral learning can be combined with a random forest classifier to produce a hybrid recommender system capable of incorporating meta information. Spectral learning is supervised learning in which data is in the form of one or more networks. Responses are predicted from features obtained from the eigenvector decomposition of matrix representations of the networks. Spectral learning is based on the highest weight eigenvectors of natural Markov chain representations. A random forest is an ensemble technique for supervised learning whose internal predictive model can be interprete

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7

Nguyen, Cong-Danh. "Workload- and Data-based Automated Design for a Hybrid Row-Column Storage Model and Bloom Filter-Based Query Processing for Large-Scale DICOM Data Management." Thesis, Université Clermont Auvergne‎ (2017-2020), 2018. http://www.theses.fr/2018CLFAC019/document.

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Dans le secteur des soins de santé, les données d'images médicales toujours croissantes, le développement de technologies d'imagerie, la conservation à long terme des données médicales et l'augmentation de la résolution des images entraînent une croissance considérable du volume de données. En outre, la variété des dispositifs d'acquisition et la différence de préférences des médecins ou d'autres professionnels de la santé ont conduit à une grande variété de données. Bien que la norme DICOM (Digital Imaging et Communication in Medicine) soit aujourd'hui largement adoptée pour stocker et transf

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8

Ali-Gombe, Aisha Ibrahim. "Malware Analysis and Privacy Policy Enforcement Techniques for Android Applications." ScholarWorks@UNO, 2017. http://scholarworks.uno.edu/td/2290.

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The rapid increase in mobile malware and deployment of over-privileged applications over the years has been of great concern to the security community. Encroaching on user’s privacy, mobile applications (apps) increasingly exploit various sensitive data on mobile devices. The information gathered by these applications is sufficient to uniquely and accurately profile users and can cause tremendous personal and financial damage. On Android specifically, the security and privacy holes in the operating system and framework code has created a whole new dynamic for malware and privacy exploitation.

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9

Eker, Ömer F. "A hybrid prognostic methodology and its application to well-controlled engineering systems." Thesis, Cranfield University, 2015. http://dspace.lib.cranfield.ac.uk/handle/1826/9269.

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This thesis presents a novel hybrid prognostic methodology, integrating physics-based and data-driven prognostic models, to enhance the prognostic accuracy, robustness, and applicability. The presented prognostic methodology integrates the short-term predictions of a physics-based model with the longer term projection of a similarity-based data-driven model, to obtain remaining useful life estimations. The hybrid prognostic methodology has been applied on specific components of two different engineering systems, one which represents accelerated, and the other a nominal degradation process. Clo

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10

Horáková, Pavla. "Optimalizace pro registraci obrazů založená na genetických algoritmech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219505.

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Diploma thesis is focused on global optimization methods and their utilization for medical image registration. The main aim is creation of the genetic algorithm and test its functionality on synthetic data. Besides test functions and test figures algorithm was subjected to real medical images. For this purpose was created graphical user interface with choise of parameters according to actual requirement. After adding an iterative gradient method it became of hybrid genetic algorithm.

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11

MEENA, SONAL. "SMS BASED FAQ RETRIEVAL USING HYBRID SIMILARITY MEASURE." Thesis, 2016. http://dspace.dtu.ac.in:8080/jspui/handle/repository/14443.

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Mobile technology gave contribution to the progress of media of communication for example: chats, emails and short message services (SMS). The Popularity, utility and simplicity of SMSes is encouraging people to access information via SMSes, accessing information via internet creates hassle, it’s not necessary that internet connection is always available. So user can clarify their query, make complaint and get updates of result etc by sending SMS. Accessing information in such a manner makes information access very economic and easy for everybody from rural to metro city people. “FAQ retrieva

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12

Yeh, Wei-Horng, and 葉韋宏. "A HyBrid Approach-Based Signature Extraction Method for Similarity." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/39246219013614563103.

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碩士<br>國立中山大學<br>資訊工程學系研究所<br>89<br>A symbolic image database system is a system in which a large amount of image data and their related information are represented by both symbolic images and physical images. How to perceive spatial relationships among the components in a symbolic image is an important criterion to find a match between the symbolic image of the scene object and the one being store as a modal in the symbolic image database. Spatial reasoning techniques have been applied to pictorial database, in particular those using 2D strings as an index representation have been successful.

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13

Huang, Zhi-Long, and 黃志隆. "Similarity maximization based hybrid matching scheme for inter-frame prediction." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/80125540478993569879.

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碩士<br>國立交通大學<br>多媒體工程研究所<br>102<br>In the bi-direction inter prediction of block matching algorithm, block matching algorithms are used to find two block predictors which are similar with the target block and these two block predictors are combined as one block predictor. This predictor can be more similar with the target block than the two predictors found by block matching algorithm. Therefore, the predictor generated by multiple candidates can be better than the predictor generated by only one candidate. In this paper, we generate the predictor from multiple predictor candidates too. We fin

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14

Lo, Shen Li, and 羅盛醴. "Single Image Super-Resolution Using Hybrid Patch Search And Local Self-Similarity." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/05151595419608206261.

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碩士<br>國立清華大學<br>資訊工程學系<br>104<br>Nowadays, High-resolution (HR) monitors have been very popular in the market. However, many legacy images/videos are stored in low-resolution (LR) formats These LR files need to be enlarged before playing on HR monitors. Super-Resolution(SR) algorithms have been proposed to enhance the image resolution. The most common way to do up-scaling is using interpolation-based methods. These kind of methods are simple but may suffer from noticeable blurring edges or unclear textures. Human vision is more sensitive to these high-frequency(HF)-rich regions, so these regio

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15

Kruafak, Att. "Hybrid video coding design with variable size integer tansforms and structural similarity." 2008. http://hdl.handle.net/10106/1883.

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16

To, Wei-Jen, and 杜惟真. "A Hybrid Learning-based Method for Estimating Word Similarity in Collocation Clustering." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/86v5sz.

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碩士<br>國立清華大學<br>資訊工程學系所<br>105<br>We introduce a method for learning to estimate the similarity between collocations. In our approach, collocate pairs under certain headword are transformed into thesaurus-based and distributional similarity features from multiple sources. The method involves automatically generating similarity features, including WordNet-based features, n-gram based features, translation based features and headword-sensitive features for predicting the similarity between given collocate pairs. We present a similarity estimation prototype, ColloSim, that applies the method to c

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17

Banchuen, Tawan. "The geographical analog engine hybrid numeric and semantic similarity measures for U.S. cities /." 2008. http://etda.libraries.psu.edu/theses/approved/WorldWideIndex/ETD-2742/index.html.

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18

Peng, Hung-Wen, and 彭泓文. "A Self-Constructing Rotating Similarity with Hybrid Learning Method for Classification and Regression Problems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/46q82p.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>103<br>We propose an algorithm for single label classification, multi-label classification, and regression estimation which incorporates a rotating similarity, weighted relevance, hybrid learning, and threshold checking. Firstly, the rotating cluster similarity is more suitable of the distribution of the data set with hyper-spherical, hyper-ellipsoidal, or oblique hyper-ellipsoidal shapes and it is used to transform each input instance into a rotating cluster similarity. Then, the similarity of the input instance will be combined to obtain the weighted relevance of

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19

Yang, Chin-Chang, and 楊晉昌. "Fuzzy Similarity Measure Based Hybrid Image Filter for Color Image Restoration: Multi-methodology Evolutionary Programming." Thesis, 2009. http://ndltd.ncl.edu.tw/handle/48632683999874780982.

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碩士<br>國立成功大學<br>資訊工程學系碩博士班<br>97<br>A multi-methodology evolutionary computation and fuzzy similarity measure based hybrid image filter for color image restoration is proposed in this thesis. First, a multi-methodology evolutionary computation (MMEC) is proposed for multi-objective optimization problems. Then, a hybrid image filter with fuzzy-based similarity measure is proposed for noise reduction. Finally, an experience-based construction of fuzzy sets in the similarity measure has been shown as near-optimized via MMEC and is applied to color image restoration. The experimental results show

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20

KOUTOU, Wend-Nougui Odilon, and 江歐狄. "Similarity-Boosted Hybrid Conditional Restricted Boltzmann Machine (SB H-CRBM) for Drug-Target Interaction Prediction." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/3v2pxs.

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碩士<br>國立清華大學<br>資訊系統與應用研究所<br>106<br>Uncovering drug-target interactions plays a key role in the drug development process. Recently, in silico (docking simulation and machine learningbased) techniques have emerged as an alternative to costly and time consuming biochemical experiments. In machine learning-based techniques, many network-based approaches have been proposed such as Restricted Boltzmann Machine (RBM), Bipartite Local Models (BLM), Network Based Inference (NII), Weighted profile method and Advanced Local Drug-Target Interaction Prediction Technique (ALADIN). In this research, we ext

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21

Wu, Wei. "AURA : a hybrid approach to identify framework evolution." Thèse, 2010. http://hdl.handle.net/1866/3757.

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Les cadriciels et les bibliothèques sont indispensables aux systèmes logiciels d'aujourd'hui. Quand ils évoluent, il est souvent fastidieux et coûteux pour les développeurs de faire la mise à jour de leur code. Par conséquent, des approches ont été proposées pour aider les développeurs à migrer leur code. Généralement, ces approches ne peuvent identifier automatiquement les règles de modification une-remplacée-par-plusieurs méthodes et plusieurs-remplacées-par-une méthode. De plus, elles font souvent un compromis entre rappel et précision dans leur résultats en utilisant un ou plusieurs seuil

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Anam, S. "Incremental knowledge-based system for schema mapping." Thesis, 2016. https://eprints.utas.edu.au/23019/1/Anam_whole_thesis.pdf.

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Schemas describe the data structures of various domains such as purchase order, conference, health and music. A large number of schemas are available on the Web. Since different schema elements may have the same semantics but exist in distinct schemas, it is important to manage their semantic heterogeneity. Schema matching is usually used to determine mappings between semantically correspondent elements of different schemas. It can be conducted manually, semi-automatically and automatically. Man- ual matching is a time-consuming, error-prone and expensive process. Fully-automated matchin

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