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Dissertations / Theses on the topic 'Generative classifiers'

Author: Grafiati

Published: 11 March 2023

Last updated: 31 July 2025

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1

Xue, Jinghao. "Aspects of generative and discriminative classifiers." Thesis, Connect to e-thesis, 2008. http://theses.gla.ac.uk/272/.

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Thesis (Ph.D.) - University of Glasgow, 2008.<br>Ph.D. thesis submitted to the Department of Statistics, Faculty of Information and Mathematical Sciences, University of Glasgow, 2008. Includes bibliographical references. Print version also available.

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2

Chali, Samy. "Robustness Analysis of Classifiers Against Out-of-Distribution and Adversarial Inputs." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST012.

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De nombreux problèmes traités par l'IA sont des problèmes de classification de données d'entrées complexes qui doivent être séparées en différentes classes. Les fonctions transformant l'espace complexe des valeurs d'entrées en un espace plus simple, linéairement séparable, se font soit par apprentissage (réseaux convolutionels profonds), soit par projection dans un espace de haute dimension afin d'obtenir une représentation non-linéaire 'riche' des entrées puis un appariement linaire entre l'espace de haute dimension et les unités de sortie, tels qu'utilisés dans les Support Vector Machines (t

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3

ROGER-YUN, Soyoung. "Les expressions nominales à classificateurs et les propositions à cas multiples du coréen : recherches sur leur syntaxe interne et mise en évidence de quelques convergences structurales." Phd thesis, Université de la Sorbonne nouvelle - Paris III, 2002. http://tel.archives-ouvertes.fr/tel-00002834.

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Cette thèse a pour objet la syntaxe des classificateurs (CL) et des Constructions à Cas Multiples du coréen. Cette étude adopte essentiellement le cadre antisymétrique de Kayne, mais utilise également certains concepts fondamentaux du cadre minimaliste, comme la Vérification des traits formels. La première partie de cette thèse est consacrée à l'étude des CL et de la structure interne des expressions nominales à CL; nous montrons notamment qu'un traitement syntaxique parallèle pour les domaines nominal et phrastique est possible en coréen. Dans la seconde partie, consacrée à la structure phras

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4

McClintick, Kyle W. "Training Data Generation Framework For Machine-Learning Based Classifiers." Digital WPI, 2018. https://digitalcommons.wpi.edu/etd-theses/1276.

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In this thesis, we propose a new framework for the generation of training data for machine learning techniques used for classification in communications applications. Machine learning-based signal classifiers do not generalize well when training data does not describe the underlying probability distribution of real signals. The simplest way to accomplish statistical similarity between training and testing data is to synthesize training data passed through a permutation of plausible forms of noise. To accomplish this, a framework is proposed that implements arbitrary channel conditions and base

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5

Guo, Hong Yu. "Multiple classifier combination through ensembles and data generation." Thesis, University of Ottawa (Canada), 2004. http://hdl.handle.net/10393/26648.

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This thesis introduces new approaches, namely the DataBoost and DataBoost-IM algorithms, to extend Boosting algorithms' predictive performance. The DataBoost algorithm is designed to assist Boosting algorithms to avoid over-emphasizing hard examples. In the DataBoost algorithm, new synthetic data with bias information towards hard examples are added to the original training set when training the component classifiers. The DataBoost approach was evaluated against ten data sets, using both decision trees and neural networks as base classifiers. The experiments show promising results, in terms of

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6

Kang, Dae-Ki. "Abstraction, aggregation and recursion for generating accurate and simple classifiers." [Ames, Iowa : Iowa State University], 2006.

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7

Kimura, Takayuki. "RNA-protein structure classifiers incorporated into second-generation statistical potentials." Thesis, San Jose State University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10241445.

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<p> Computational modeling of RNA-protein interactions remains an important endeavor. However, exclusively all-atom approaches that model RNA-protein interactions via molecular dynamics are often problematic in their application. One possible alternative is the implementation of hierarchical approaches, first efficiently exploring configurational space with a coarse-grained representation of the RNA and protein. Subsequently, the lowest energy set of such coarse-grained models can be used as scaffolds for all-atom placements, a standard method in modeling protein 3D-structure. However, the coa

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8

Alani, Shayma. "Design of intelligent ensembled classifiers combination methods." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/12793.

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Classifier ensembling research has been one of the most active areas of machine learning for a long period of time. The main aim of generating combined classifier ensembles is to improve the prediction accuracy in comparison to using an individual classifier. A combined classifiers ensemble can improve the prediction results by compensating for the individual classifier weaknesses in certain areas and benefiting from better accuracy of the other ensembles in the same area. In this thesis, different algorithms are proposed for designing classifier ensemble combiners. The existing methods such a

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9

DING, ZEJIN. "Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics." Digital Archive @ GSU, 2011. http://digitalarchive.gsu.edu/cs_diss/60.

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In this dissertation, the problem of learning from highly imbalanced data is studied. Imbalance data learning is of great importance and challenge in many real applications. Dealing with a minority class normally needs new concepts, observations and solutions in order to fully understand the underlying complicated models. We try to systematically review and solve this special learning task in this dissertation.We propose a new ensemble learning framework—Diversified Ensemble Classifiers for Imbal-anced Data Learning (DECIDL), based on the advantages of existing ensemble imbalanced learning str

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10

Svénsen, Johan F. M. "GTM: the generative topographic mapping." Thesis, Aston University, 1998. http://publications.aston.ac.uk/1245/.

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This thesis describes the Generative Topographic Mapping (GTM) --- a non-linear latent variable model, intended for modelling continuous, intrinsically low-dimensional probability distributions, embedded in high-dimensional spaces. It can be seen as a non-linear form of principal component analysis or factor analysis. It also provides a principled alternative to the self-organizing map --- a widely established neural network model for unsupervised learning --- resolving many of its associated theoretical problems. An important, potential application of the GTM is visualization of high-dimensio

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11

Pyon, Yoon Soo. "Variant Detection Using Next Generation Sequencing Data." Case Western Reserve University School of Graduate Studies / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645.

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12

Brody, Samuel. "Closing the gap in WSD : supervised results with unsupervised methods." Thesis, University of Edinburgh, 2009. http://hdl.handle.net/1842/3981.

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Word-Sense Disambiguation (WSD), holds promise for many NLP applications requiring broad-coverage language understanding, such as summarization (Barzilay and Elhadad, 1997) and question answering (Ramakrishnan et al., 2003). Recent studies have also shown that WSD can benefit machine translation (Vickrey et al., 2005) and information retrieval (Stokoe, 2005). Much work has focused on the computational treatment of sense ambiguity, primarily using data-driven methods. The most accurate WSD systems to date are supervised and rely on the availability of sense-labeled training data. This restricti

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13

Lee, Chang Hee. "Synaesthesia materialisation : approaches to applying synaesthesia as a provocation for generating creative ideas within the context of design." Thesis, Royal College of Art, 2019. http://researchonline.rca.ac.uk/3756/.

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For the past three decades, research on the topic of synaesthesia has been largely dominated by the field of psychology and neuroscience, and has focused on scientifically investigating its experience and causes to define the phenomenon of synaesthesia. However, the scientific research on this subject is now enquiring into potential future implementations and asking how this subject may be useful to wider audiences, and is attempting to expand its research spectrum beyond the mere scientific analysis. This PhD research in design by practice attempts to contribute and expand this scope: it shar

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14

Libosvár, Jakub. "Generování modelů domů pro Open Street Mapy." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236184.

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This thesis deals with the procedural generation of building models based on a given pattern. The community project OpenStreetMap is used for obtaining datasets that create the buildings platform patterns. A brief survey of classifiers and formal grammars for modeling is introduced. Designing an estate classifier and algorithm for building generation is practical aspect of this thesis, including the algorithm implementation. 3D output meshes are rendered using OpenGL in real-time.

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15

Alam, Sameer Information Technology &amp Electrical Engineering Australian Defence Force Academy UNSW. "Evolving complexity towards risk : a massive scenario generation approach for evaluating advanced air traffic management concepts." Awarded by:University of New South Wales - Australian Defence Force Academy, 2008. http://handle.unsw.edu.au/1959.4/38966.

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Present day air traffc control is reaching its operational limits and accommodating future traffic growth will be a challenging task for air traffic service providers and airline operators. Free Flight is a proposed transition from a highly-structured and centrally-controlled air traffic system to a self-optimized and highly-distributed system. In Free Flight, pilots will have the flexibility of real-time trajectory planning and dynamic route optimization given airspace constraints (traffic, weather etc.). A variety of advanced air traffc management (ATM) concepts are proposed as enabling te

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16

Mugtussids, Iossif B. "Flight Data Processing Techniques to Identify Unusual Events." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/28095.

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Modern aircraft are capable of recording hundreds of parameters during flight. This fact not only facilitates the investigation of an accident or a serious incident, but also provides the opportunity to use the recorded data to predict future aircraft behavior. It is believed that, by analyzing the recorded data, one can identify precursors to hazardous behavior and develop procedures to mitigate the problems before they actually occur. Because of the enormous amount of data collected during each flight, it becomes necessary to identify the segments of data that contain useful information. Th

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17

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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18

Thanjavur, Bhaaskar Kiran Vishal. "Automatic generation of hardware Tree Classifiers." Thesis, 2017. https://hdl.handle.net/2144/23688.

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Machine Learning is growing in popularity and spreading across different fields for various applications. Due to this trend, machine learning algorithms use different hardware platforms and are being experimented to obtain high test accuracy and throughput. FPGAs are well-suited hardware platform for machine learning because of its re-programmability and lower power consumption. Programming using FPGAs for machine learning algorithms requires substantial engineering time and effort compared to software implementation. We propose a software assisted design flow to program FPGA for machine learn

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19

Correia, João Nuno Gonçalves Costa Cavaleiro. "Evolutionary Computation for Classifier Assessment and Improvement." Doctoral thesis, 2018. http://hdl.handle.net/10316/81287.

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Thesis submitted to the University of Coimbra in partial fulfilment of the requirements for the Doctoral Program in Information Science and Technology<br>Typical Machine Learning (ML) approaches rely on a dataset and a model to solve problems. For most problems, optimisation of ML approaches is crucial to attain competitive performances. Most of the effort goes towards optimising the model by exploring new algorithms and tuning the parameters. Nevertheless, the dataset is also a key part for ML performance. Gathering, constructing and optimising a representative dataset is a hard task and a

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Cumbo, Chiara, Pasquale Rullo, and Annamaria Canino. "A techinique for automatic generation of rule-based text classifiers exploiting negative information." Thesis, 2014. http://hdl.handle.net/10955/499.

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21

Wang, Chi-Cheng, and 王啟誠. "A generation of fuzzy classifier directly from numerical data based on hypercube region." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/84843856344367061011.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>90<br>This thesis proposed a new method for extracting fuzzy rules directly from numerical data for pattern classification. First, we represent the existence region of data for a class by activation hypercube and define the overlapping region of each activation hypercube by inhibition hypercube to inhibit the existence of data for that class. Then, we generate dynamic cluster for the data that exist in the inhibition hypercube. Our fuzzy classifier composed of fuzzy rules that are described by these hypercubes. Finally, some examples are given to demonstrate the perf

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22

Ding, Zejin. "Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics." 2011. http://scholarworks.gsu.edu/cs_diss/60.

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In this dissertation, the problem of learning from highly imbalanced data is studied. Imbalance data learning is of great importance and challenge in many real applications. Dealing with a minority class normally needs new concepts, observations and solutions in order to fully understand the underlying complicated models. We try to systematically review and solve this special learning task in this dissertation.We propose a new ensemble learning framework—Diversified Ensemble Classifiers for Imbal-anced Data Learning (DECIDL), based on the advantages of existing ensemble imbalanced learning str

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23

Silva, Gabriel Augusto Santos. "Data augmentation and deep classification with generative adversarial networks." Master's thesis, 2021. http://hdl.handle.net/10773/32283.

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Machine learning has seen many advances in recent years. One type of model that has evolved a lot recently is Generative Adversarial Networks (GANs). These models have the ability to create fake data that resembles the data on which they were trained on. The interest for these models has been ever growing since their creation, in 2014. The ability to create fake data has also been found to be quite useful, especially, in data starved areas, like medical imaging. GANs have been used, with positive results, in areas like these to increase the size of the datasets available, as a way to im

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24

Dattagupta, Samrat Jayanta. "A performance comparison of oversampling methods for data generation in imbalanced learning tasks." Master's thesis, 2018. http://hdl.handle.net/10362/31307.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Marketing Research e CRM<br>Class Imbalance problem is one of the most fundamental challenges faced by the machine learning community. The imbalance refers to number of instances in the class of interest being relatively low, as compared to the rest of the data. Sampling is a common technique for dealing with this problem. A number of over - sampling approaches have been applied in an attempt to balance the classes. This study provides an overview of th

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25

(11167785), Nicolae Christophe Iovanac. "GENERATIVE, PREDICTIVE, AND REACTIVE MODELS FOR DATA SCARCE PROBLEMS IN CHEMICAL ENGINEERING." Thesis, 2021.

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<div>Data scarcity is intrinsic to many problems in chemical engineering due to physical constraints or cost. This challenge is acute in chemical and materials design applications, where a lack of data is the norm when trying to develop something new for an emerging application. Addressing novel chemical design under these scarcity constraints takes one of two routes: the traditional forward approach, where properties are predicted based on chemical structure, and the recent inverse approach, where structures are predicted based on required properties. Statistical methods such as machine learn

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26

(6997520), Bo Zhang. "A DESIGN PARADIGM FOR DC GENERATION SYSTEM." Thesis, 2020.

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The design of a dc generation system is posed as a multi-objective optimization problem which simultaneously designs the generator and the power converter. The proposed design methodology captures the interaction between various system component models and utilizes the system steady state analysis, stability analysis, and disturbance rejection analysis. System mass and power loss are considered as the optimization metrics and minimized. The methodology is demonstrated through the design of a notional dc generation system which contains a Permanent Magnet Synchronous Machine (PMSM), passive rec

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27

(6890684), Nicole E. Eikmeier. "Spectral Properties and Generation of Realistic Networks." Thesis, 2019.

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Picture the life of a modern person in the western world: They wake up in the morning and check their social networking sites; they drive to work on roads that connect cities to each other; they make phone calls, send emails and messages to colleagues, friends, and family around the world; they use electricity flowing through power-lines; they browse the Internet, searching for information. All of these typical daily activities rely on the structure of networks. A network, in this case, is a set of nodes (people, web pages, etc) connected by edges (physical connection, collaboration, etc). Th

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28

(7027607), Zhengtian Song. "Second Harmonic Generation Microscopy and Raman Microscopy of Pharmaceutical Materials." Thesis, 2019.

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<p>Second harmonic generation (SHG) microscopy and Raman microscopy were used for qualitative and quantitative analysis of pharmaceutical materials. Prototype instruments and algorithms for sampling strategies and data analyses were developed to achieve pharmaceutical materials analysis with low limits of detection and short measurement times<br></p><p>Manufacturing an amorphous solid dispersion (ASD), in which an amorphous active pharmaceutical ingredient (API) within polymer matrix, is an effective approach to improve the solubility and bioavailability of a drug.

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29

(8772923), Chinyi Chen. "Quantum phenomena for next generation computing." Thesis, 2020.

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<div>With the transistor dimensions scaling down to a few atoms, quantum phenomena - like quantum tunneling and entanglement - will dictate the operation and performance of the next generation of electronic devices, post-CMOS era. While quantum tunneling limits the scaling of the conventional transistor, Tunneling Field Effect Transistor (TFET) employs band-to-band tunneling for the device operation. This mechanism can reduce the sub-threshold swing (S.S.) beyond the Boltzmann's limit, which is fundamentally limited to 60 mV/dec in a conventional Si-based metal-oxide-semiconductor field-effect

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30

(11142147), Zachary Craig Schreiber. "Investigation of Transparent Photovoltaic Vehicle Integration." Thesis, 2021.

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The pursuit to combat climate change continues, identifying new methods and technologies for sustainable energy management. Automakers continue developing battery electric vehicles while researchers identify new applications and materials for solar photovoltaics. The continued advancement of technology creates new holes within literature, requiring investigation to understand the unknown. Photovoltaic vehicle integration gained popularity during the 1970s but did not commercialize due to technology, economics, and other factors. By 2021 the idea resurfaced, showcasing commercial and concept ve

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31

(6997700), Wooram Kang. "HYDROGEN GENERATION FROM HYDROUS HYDRAZINE DECOMPOSITION OVER SOLUTION COMBUSTION SYNTHESIZED NICKEL-BASED CATALYSTS." Thesis, 2019.

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<div>Hydrous hydrazine (N<sub>2</sub>H<sub>4</sub>·H<sub>2</sub>O) is a promising hydrogen carrier for convenient storage and transportation owing to its high hydrogen content (8.0 wt%), low material cost and stable liquid state at ambient temperature. Particularly, generation of only nitrogen as byproduct, in addition to hydrogen, thus obviating the need for on-board collection system for recycling, ability to generate hydrogen at moderate temperatures (20-80 °C) which correspond to the operating temperature of a proton exchange membrane fuel cell (PEMFC), and easy recharging using current in

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32

(9780926), Muhammad Bhuiya. "An experimental study of 2nd generation biodiesel as an alternative fuel for diesel engine." Thesis, 2017. https://figshare.com/articles/thesis/An_experimental_study_of_2nd_generation_biodiesel_as_an_alternative_fuel_for_diesel_engine/13449476.

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This study investigated the prospects of using 2nd generation biodiesel as an alternative fuel particularly the biodiesel produced from the Australian Beauty Leaf (BL) (Calophyllum inophyllum L.). Firstly, the study developed an optimised oil extraction method from BL kernel based on the kernel size and treatment conditions (for example, seed preparation and cracking, drying, whole kernel, grated kernel and moisture content). Mechanical method of using a screw press expeller and chemical method of using n-hexane were used for oil extraction. The results indicated that the grated kernels that w

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33

(6887678), Oscar E. Sandoval. "Electro-Optic Phase Modulation, Frequency Comb Generation, Nonlinear Spectral Broadening, and Applications." Thesis, 2019.

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<p>Electro-optic phase modulation can be used to generate high repetition rate optical frequency combs. The optical frequency comb (OFC) has garnered much attention upon its inception, acting as a crucial component in applications ranging from metrology and spectroscopy, to optical communications. Electro-optic frequency combs (EO combs) can be generated by concatenating an intensity modulator and phase modulator together. The first part of this work focuses on broadening the modest bandwidth inherent to the EO combs. This is achieved by propagation in a nonlinear medium, specifically propagat

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(8788166), Scott R. Griffin. "Optical Techniques for Analysis of Pharmaceutical Formulations." Thesis, 2020.

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<p>The symmetry requirements of both second harmonic generation (SHG) and triboluminescence (TL) provide outstanding selectivity to noncentrosymmetric crystals, leading to high signal to noise measurements of crystal growth and nucleation of active pharmaceutical ingredients (API) within amorphous solid dispersions (ASD) during accelerated stability testing. ASD formulations are becoming increasingly popular in the pharmaceutical industry due to their ability to address challenges associated with APIs that suffer from poor dissolution kinetics and low bioavailability as a result of low aqueous

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(9167615), Orthi Sikder. "Influence of Size and Interface Effects of Silicon Nanowire and Nanosheet for Ultra-Scaled Next Generation Transistors." Thesis, 2020.

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<div>In this work, we investigate the trade-off between scalability and reliability for next generation logic-transistors i.e. Gate-All-Around (GAA)-FET, Multi-Bridge-Channel (MBC)-FET. First, we analyze the electronic properties (i.e. bandgap and</div><div>quantum conductance) of ultra-thin silicon (Si) channel i.e. nano-wire and nano-sheet based on first principle simulation. In addition, we study the influence of interface</div><div>states (or dangling bonds) at Si-SiO<sub>2</sub> interface. Second, we investigate the impact of bandgap change and interface states on GAA-FETs and MBC-FETs ch

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(8966861), Dina Verdin. "Enacting Agency: Understanding How First-Generation College Students’ Personal Agency Supports Disciplinary Role Identities and Engineering Agency Beliefs." Thesis, 2020.

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<div> <div> <div> <p>This dissertation is a three study format. In this dissertation, I used an explanatory sequential mixed method design. Study 1 develops a measurement scale to capture first-generation college students’ agency using the constructs of intentionality, forethought, self-reactiveness, and self-reflectiveness. Study 2 used structural equation modeling to establish a relationship between personal agency, disciplinary role identities, and students’ desire to enact engineering agency. Study 3 was a narrative analysis of how Kitatoi, a Latina, first-generation college student, autho

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(9127556), Hilary M. Florian. "IMPROVING THE PROTEIN PIPELINE THROUGH NONLINEAR OPTICAL METHODS." Thesis, 2020.

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<p> Understanding the function and structure of a protein is crucial for informing on rational drug design and for developing successful drug candidates. However, this understanding is often limited by the protein pipeline, i.e. the necessary steps to go from developing protein constructs to generating high-resolution structures of macromolecules. Because each step of the protein pipeline requires successful completion of the prior step, bottlenecks are often created and therefore this process can take up to several years to complete. Addressing current limitations in the protein pipel

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(11022585), Bhavya Rathna Kota. "Investigation of GenerationZs' perception of Green Homes and Green Home Features." Thesis, 2021.

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In recent years, there has been an increase in environmental awareness in the United States leading to steady growth in environmentally conscious consumerism. These changes have come in response to issues such as the energy crisis, climate change, exponential population growth, and rapid urbanization. This fact is further supported by environmental campaigns and the green movement. Looking to the future of green home marketing, understanding the green consumer behavior of Generation Z (GenZ) is important for environmental and business reasons. The purpose of this research is to better un

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(6331859), Changqin Ding. "Polarization-enabled Multidimensional Optical Microscopy." Thesis, 2019.

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Polarization-dependence provides a unique handle for extending the dimensionality of optical microscopy, with particular benefits in nonlinear optical imaging. Polarization-dependent second order nonlinear optical processes such as second harmonic generation (SHG) provide rich qualitative and quantitative information on local molecular orientation distribution. By bridging Mueller and Jones tensor, a theoretical framework was introduced to experimentally extend the application of polarization-dependent SHG microscopy measurements toward in vivo imaging, in which partial polarization or depolar

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(6397766), Shaobo Fang. "SINGLE VIEW RECONSTRUCTION FOR FOOD PORTION ESTIMATION." Thesis, 2019.

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<p>3D scene reconstruction based on single-view images is an ill-posed problem since most 3D information has been lost during the projection process from the 3D world coordinates to the 2D pixel coordinates. To estimate the portion of an object from a single-view requires either the use of priori information such as the geometric shape of the object, or training based techniques that learn from existing portion sizes distribution. In this thesis, we present a single-view based technique for food portion size estimation.</p><p><br></p> <p>Dietary assessment, the process of determining what some

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(9735716), Phyllis Antwiwaa Agyapong. "Examining the Relationship Between Parental Sex Education, Religiosity And Sex Positivity In First- And Second-Generation African Immigrants." Thesis, 2020.

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<p>This quantitative study examined the relationship between parental comprehensive sexual and reproductive health communication (SRH), religiosity and sex positivity in first- and second-generation African immigrants. Comprehensive SRH communication was measured by frequency through the Sexual Communication Scale (SCS), religiosity was measured through the Faith Activities in the Home Scale (FAITHS) and sex positivity was measured through the Sex Positivity Scale (SPS). It was hypothesized that there would be a negative relationship between religiosity and sex positivity and a positive relati

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(9780230), Sharmina Begum. "Assessment of alternative waste technologies for energy recovery from solid waste in Australia." Thesis, 2016. https://figshare.com/articles/thesis/Assessment_of_alternative_waste_technologies_for_energy_recovery_from_solid_waste_in_Australia/13436876.

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Solid waste can be considered either as a burden or as a valuable resource for energy generation. Therefore, identifying an environmentally sound and technoeconomically feasible solid waste treatment is a global and local challenge. This study focuses on identifying an Alternative Waste Technology (AWT) for meeting this global and local demand. AWT recovers more resources from the waste flow and reduces the impact on the environment. There are three main pathways for converting solid waste into energy: thermo-chemical, biochemical and physicochemical. This study deals with thermochemical conv

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(9838253), Roshani Subedi. "Assessing the viability of growing Agave Tequilana for biofuel production in Australia." Thesis, 2013. https://figshare.com/articles/thesis/Assessing_the_viability_of_growing_Agave_Tequilana_for_biofuel_production_in_Australia/20459547.

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<p>Governments around the world have been introducing policies to support the use of biofuels since the 1990s due to its positive influence in climate change mitigation, air quality, fuel supply security and poverty reduction through rural and regional iindustry growth. In Australia, liquid fuel is in high demand and this demand is increasing every year. To meet the current fuel demand and to address climate change impacts, it is important for Australia to invest in green and clean energy. Biofuels are one of the options for clean and green energy that could help to reduce the demand for fos

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