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 16 of 16 for “"data normalization"”.
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Protein Set for Normalization of Quantitative Mass Spectrometry Data
… along with the development of powerful data analysis software tools, mass spectrometry has become the most popular method for quantitative proteomics. Stable isotope labeling and label-free quantitation methods are widely used in quantitative mass spectrometry experiments. Proteins with …
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Market research of commercial recommendation engines for online and offline retail
In the era of big data and predictive analytics, recommendation systems or recommendation engines that recommend merchandise or service offerings based on individual preferences have had a revolutionary impact on retail businesses by making "personalization" a reality. As recommendable engines …
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Conditional Multifactorial Contingency (CMC) Model and Its Applications
In biology and bioinformatics, a variety of data share a common property that challenges numerous cutting-edge research studies: heterogeneities at the individual level with respect to more than one factor. Examples of such heterogeneities include but are not limited to: 1) unequal susceptibility …
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SPHERICAL AND STOCHASTIC CO-CLUSTERING ALGORITHMS
… without a doubt, is a dominating area in data mining and machine learning field. Due to the wide range of the necessity to clustering algorithms, it has many applications in real-life problems, ranging from bioinformatics to personalized information delivery. Feature characteristics of the …
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Spatial analysis of cycling risk in Helsinki using crowdsourced risk exposure data
… cycling safety, but traditional cycling accident data often lacks normalization for risk exposure (i.e. volume of cycle traffic), which can obscure high-risk areas. In this thesis, cycling risk index values were calculated in the City of Helsinki by combining official and surveyed accident data …
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Measurement and Analysis of Calcium-Dependent Exocytosis in Giant Excised Membrane Patches
… angle adjustment, baseline subtraction, and data normalization are also implemented. In summary, using the software I developed, non-SG fusion were characterized and found to be regulated substantially differently from SG fusion. An ATP-dependent process is probably required for restoring …
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Flooded with Possibilities: Analyzing Flood Insurance as a Catalyst for Development in Southeast Florida
… utilization of regression models, incorporating data from First Street Foundation and the US Census Bureau, the study analyzes the intricate relationship between these variables and premium rates. A key finding is the pivotal role played by geographic factors, particularly census tracts, in …
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Gait analysis techniques to understand the effect of a hip strength improving program on lower-limb amputees
… hip strengthening training, kinematic movement data collected with computerized motion capture techniques were analyzed using both novel and traditional gait analysis methods. A novel technique of time warping gait data to kinematic gait events was developed and validated initially using data …
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A Study of Machine Learning Approaches for Biomedical Signal Processing
… various limitations of measurement instruments, data preprocessing is often required in biomedical research. Improper preprocessing will have negative impact on the downstream analytics tasks. This thesis studies two important preprocessing topics: missing value imputation and between-sample …
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Symbolic and connectionist machine learning techniques for short-term electric load forecasting
… such as neural network architecture, training database creation, training dataset selection, training data normalization are presented in context of nonlinear modeling in general and electric load forecasting in particular. Local function approximation and nearest neighbor norms techniques are …
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Electric vehicules cyber-attack detection
… which can directly affect the users' safety, data privacy, and overall stability of the grid. The overall objective of this research was to prototype, implement, test and evaluate, and compare several classification-based intrusion detection systems that could detect harmful activity in an …
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Expression-based reverse engineering of plant transcriptional networks
… transcriptional networks using gene expression data as a compass. This kind of studies has been considerably assisted in the recent years by the development of high-throughput transcript measurement platforms, specifically gene microarrays and next-generation sequencing. In this thesis, I …
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Modeling of Groundwater Heavy Metals and Methane Pollution for a Municipal Landfill Utilizing Data Driven and Numerical Modeling Techniques
… municipal landfill in a semi-arid climate. The data was collected from 5 groups of wells located upstream and downstream of the landfill in 2012 and 2015. The results represented that in 2015, Mn, U, As and Fe exceeded the Saskatchewan drinking water quality standard limits. However, in 2012 …
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Exploring the Plasmodium falciparum Transcriptome Using Hypergeometric Analysis of Time Series (HATS)
… in detail in this thesis, beginning with data normalization and alignment, followed by visualization through dimensionality reduction, and finally a direct analysis of the differences and similarities between the two lines. Comparisons and analyses were performed at both the individual …
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Next-generation sequencing analysis and RNA editing in human brain and glioma
… (SRA) surpassed 100 terabases of sequence data, comprising nearly 40,000 RNA and 260,000 DNA sequencing projects. In 2013 the SRA comprises over 500 terabases, with a projected doubling time of 22.3 months. The explosive growth of next-generation sequence data now exceeds the growth rate of …
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Development of an extended hyperbolic model for concrete-to-soil interfaces
… In order to develop the necessary experimental data, a series of tests were performed on interfaces between concrete and two different types of sand. The tests included initial loading, staged shear, unloading-reloading, and shearing along complex stress paths. An extended hyperbolic model for …