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.
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Showing 1 to 20 of 25 for “"Principle component analysis (PCA)"”.
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An exploratory study of deliberate self-harm in a South African student population
… South African student population (n = 603) using Principle Component Analysis (PCA). A battery of instruments, including the Deliberate Self-Harm Inventory (DSHI) and the Functional Assessment of Self-Mutilation (FASM) were administered to students. Following Nock and Prinstein’s (2004) …
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Morphological and molecular analyses for the characterization of Aspalanthus linearis (Fabaceae: rooibos)
… sequence repeats (ISSR) and a plastid marker. A principle component analysis (PCA) based on seven morphological variables grouped the samples into three different growth forms, specifically an erect-form, a prostrate-form and a shrub-form. The genetic variability of four plastid markers and one …
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Effects of Manufacturing Deviations on Core Compressor Blade Performance
… quantified with a statistical method known as principle component analysis (PCA). MISES, an Euler solver coupled with integral boundary-layer calculations, is used to analyze the effects that the aforementioned deviations have on compressor blade performance when the inlet flow conditions …
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Kerangka kemahiran employability senibina graduan politeknik
… empirikal dengan memenuhi kriteria analisis Principle Component Analysis (PCA). Di akhir kajian, pengkaji telah menghasilkan kerangka Ar–ES untuk graduan politeknik bagi memenuhi kehendak firma binaan Malaysia. Penghasilan kerangka ini diharap dapat membantu meningkatkan kebolehpasaran …
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Mispronunciation Detection for Language Learning and Speech Recognition Adaptation
… detection and classification algorithm based on Principle Component Analysis (PCA) is introduced to help language learners identify and correct their pronunciation errors at the word and syllable levels.</p> <p>To improve speech recognition by adaptation, two projects have been explored. The …
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Development of the sexual arousal and desire inventory (SADI) for the assessment of the psychological and subjective experience of sexual arousal and desire
… these two phases of the sexual response cycle. Principle component analysis (PCA) also indicated that the subjective experience of arousal and desire could be described comprehensively by three main factors, including a cognitive-emotional, a motivational, and a physiological factor. A fourth …
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Systematics and Conservation of the Genus <em>Malacothamnus </em>(Malvaceae)
… of specimens were first analyzed with principle component analysis (PCA), pairwise permutational multivariate analysis of variance (PERMANOVA), and linear discriminant analysis (LDA) to answer (1) whether taxa relegated to synonymy by some authors are morphologically distinct or not, …
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Habitat Selection by weaver Birds in the Middle Zambezi Valley
… features were measured and were analysed using principle component analysis (PCA). Food habits were determined by field observations supplemented by stomach content analyses of 50 collected specimens. A significant difference in the size of the seeds utilized by different species was found. …
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Habitat Selection by weaver Birds in the Middle Zambezi Valley
… features were measured and were analysed using principle component analysis (PCA). Food habits were determined by field observations supplemented by stomach content analyses of 50 collected specimens. A significant difference in the size of the seeds utilized by different species was found. …
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Characteristics of the nesting habitat of the black-throated blue warbler
… location to the description of the territory. Principle component analysis (PCA) was used to determine habitual variables correlated with the location of the nest and perches. Factors derived from the analyses were combinations of either macro or microhabitat subsets of vegetational variables. …
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A Comparative Study of Machine Vision Classification Techniques for the Detection of Missing Clips
… with a Neural Network, 2) feature based with principle component analysis (PCA) applied and ANFIS, 3) feature based with PCA applied and a Neural Network, 4) Eigenimage based with ANFIS and 5) Eigenimage based with a Neural Network. The effect of adding a Hough rectangle feature and a …
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Patient Movement Monitoring Based on IMU and Deep Learning
… deteriorated joints with metal and plastic components. Developing better quantitative measures of movement quality to track patients longitudinally in their own homes would enable personalized treatment plans and hasten the advancement of promising new interventions. Wearable sensors and …
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Crop Yields Response To Conservation Farming And Spatial-Temporal Effects In Zambia
… practices and environmental covariates. Principle component analysis (PCA) identified inappropriate management practices (planting and insufficient weeding), of which 25% of total variability were major factors restricting CF yields. TF yields were limited by both amount and types of …
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Optimal Analytical Methods for High Accuracy Cardiac Disease Classification and Treatment Based on ECG Data
… ventricular outflow tract. In the third project, Principle Component Analysis (PCA) application in classification problem was studied. PCA is a commonly used technique to reduce dimensions of the data through analyzing correlation structure of the original variables. This reduction is achieved by …
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Reduced order modeling of convection-dominated flows, dimensionality reduction and stabilization
… to the extent that linear methods, such as principle component analysis (PCA) and Koopman operators, are still prevalent. Accordingly, we propose an interpretable nonlinear dimensionality reduction algorithm. An unsupervised learning problem is constructed that learns a diffeomorphic …
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Assessment of chemical markers as surrogates for efficacy and safety of Rooibos extracts
… plant batches of green rooibos. HPLC-DAD analysis was performed to quantify aspalathin and other major flavonoids present in the extracts. A radioimmunoassay was used to measure 2-deoxy-[3H]-D-glucose absorption in C2C12 murine skeletal muscle and C3A human liver cells, exposed to 10 μg/mL …
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A Gas Sensor for the Selective Detection of Volatile Organic Compounds
… phenyl and chlorophenyl functionality. Analysis of BTEX vapours with the seven silica adsorbents indicated adsorption was physical (physisorption) and desorption was readily reversible between 25 and 100 °C. Adsorption was influenced by the strength of adsorbent-vapour interaction, which …
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Portfolio diversification utilising rolling economic drawdown constraints and risk factor analysis
… to different assets by way of integrating Principle Component Analysis (PCA) with existing Rolling Economic Drawdown Methods (REDD). The primary purpose of this model is to create a portfolio with low drawdown levels, that can withstand turbulent market periods thus protecting portfolio …
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Modelling geometric uncertainties in prostate radiotherapy
… patients. Measurement error can be asignificant component of the measured variation, with serious implications for IGRTwhere measurements are used to correct the patient position.Measurements are made of internal and external errors for 44 patients, comparingtechniques for rectal and bladder …
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Examining the Impacts of Valley Fills in Stream Ecosystems on Amphibian and Aquatic Insect Communities in Southeastern Kentucky
… water quality, and habitat measurements. A principle component analysis (PCA) approach was used for factor reduction to create predictive models of environmental variables associated with salamander and aquatic insect abundance and richness. 390 salamanders (155 adult, 235 larvae; 7 species) …
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