Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 268 for “"novel data"”.
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NOVEL DATA MINING ALGORITHMS FOR ANALYSIS OF ELECTRONIC HEALTH RECORDS
… terms can improve the quality of downstream data analysis tasks on EHR data. However, the traditional approaches struggle to learn vector representations of rarely used medical terms. To overcome this problem, we developed a neural network-based approach, called definition2vec, that uses …
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Novel data-processing techniques for signal extraction in Project 8
… at much lower cost. Project 8, being a novel method, has different computational demands from existing experiments. This thesis explores the use of the Hough Transform as a tool in data processing in Project 8 and discusses its utility and function generally.
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Novel data-driven control approaches : application in essential oil extraction processes
En esta disertación se desarrollan nuevos métodos para el diseño de controladores a partir de datos para sistemas lineales, útiles cuando el modelo de planta no está disponible. Se han considerado dos aproximaciones: (1) conjuntos de membresía (SMT) y (2) la parametrización de Youla-Kucera (YKDDC). …
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Crystallization kinetics of phase change materials for novel data storage concepts
… growth are unraveled. Within this study the data base on crystallization kinetics of germanium-antimony-tellurium alloys is vastly enhanced. Thus, it is possible to derive stoichiometrical trends for the crystallization temperature, the activation barriers for growth and steady state …
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Design of an Automation Framework for a Novel Data-Flow Processor Architecture
… the design complexity of applications on this novel architecture, an automation framework has been implemented. This thesis presents the design of the processor architecture and the automation framework explaining the suitability of the designed architecture for the target applications. The …
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Novel data-driven analysis methods for real-time fMRI and simultaneous EEG-fMRI neuroimaging
… are free to evolve in an unpredictable way, data-driven algorithms have the potentials of being more suitable than model-driven ones. In fact, for example, in neurofeedback experiments brain activation tends to change its properties due to training or task eects thus evidencing the need for …
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Deep Multi-Resolution Operator Networks (DMON): Exploring Novel Data-Driven Strategies for Chaotic Inverse Problems
… at the cost of working with large descriptive datasets, a requirement that many applications cannot afford. This thesis proposes and explores the novel Deep Multi-resolution Operator Network (DMON), inspired by the recently developed DeepONet architecture. The DMON model is designed to solve …
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Agile mining : a novel data mining process for industry practice based on Agile Methods and visualization
Current standard data mining processes like CRoss-Industry Standard Process for Data mining (CRISP-DM) are vulnerable to frequent change of customer requirement. Meanwhile, Stakeholders might not acquire sufficient understanding to generate business value from analytic results due to a lack of …
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A Study Of Data Informatics: Data Analysis And Knowledge Discovery Via A Novel Data Mining Algorithm
… mining (fpm) has become extremely popular among data mining researchers because it provides interesting and valuable patterns from large datasets. The decreasing cost of storage devices and the increasing availability of processing power make it possible for researchers to build and analyze …
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Towards forecasting and prediction of faults in electricity distribution network : a novel data mining & machine learning approach
… power supply. This research aim is to develop data mining, and machine learning models to accurately predict and forecast Electricity Distribution Network Faults. The specific research objectives are to gain a deeper understanding of Electricity Distribution Network faults and to accurately …
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Improving the Performance of a Hybrid Classification Method Using a Parallel Algorithm and a Novel Data Reduction Technique
… guided spectral class rejection) and a novel data reduction technique that can be used in conjuction with pIGSCR (parallel IGSCR). The parallel algorithm is motivated by a demonstrated need for more computing power driven by the increasing size of remote sensing datasets due to higher …
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Species Redescriptions and Novel data on Study Methodologies, Biodiversity and Phylogeny of limno-terrestrial Tardigrades [Ridescrizione di Specie e Nuovi dati su Metodologie di Studio, Biodiversità e Filogenesi dei Tardigradi limno-terrestri]
I tardigradi costituiscono un phylum di animali (Tardigrada Doyère, 1840) di dimensioni ridotte, che variano da circa 50 a circa 1000 μm, con attualmente quasi 1500 specie note (Degma & Guidetti, 2007, 2024; Guidetti & Bertolani, 2005). Si trovano ovunque sia presente almeno un velo d'acqua e sono …
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RNN-Based Generation of Polyphonic Music and Jazz Improvisation
… of simulated jazz improvisation, using multiple novel data sources and the character-based recurrent neural network architecture <em>char-rnn</em>. In addition, techniques and tooling are presented aimed at using the results of the algorithmic composition to create exercises for musical …
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Modeling of Eddy Current Separation
… interactions. In this dissertation, a novel method for calculating the magnetic force acting on non-ferrous metal particles was developed. By this method, force calculations can be carried out accurately using intrinsic parameters of particles such as size and shape, as well as its …
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Essays in Environmental and Political Economics
… against their governing parties, using novel data from the UK parliament in 2019.
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A uniform syntax for phrasal movement : a case study of Dinka Bor
… involved in the Agree relation. Guided by novel data from the Nilotic language Dinka Bor (South Sudan), I apply this view to three kinds of movement: A-movement, A-movement, and intermediate movement steps of successive-cyclic dependencies. In addition, I present a novel argument, from …
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Semantic and data-driven hierarchies for personalized models of affect
… focuses on comparing these semantic groupings to data-driven hierarchies. A key question is whether data-driven hierarchies can provide additional ways of understanding affect, outside of semantic boundaries. The experiments are conducted in the context of therapy sessions between personal robots …
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Improving online demand forecast using novel features in website data : a case study at Zara
… articles. The new methodology incorporates novel data to predict demand of existing products through a bottom-up point forecast at the color and location level. It addresses the widely observed challenge of forecasting censored demand during a stock out. Zara introduces thousands of new …
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