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 49 for “"ROC Curves"”.
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Gradient Boosted Decision Tree Application to Muon Identification in the KLM at Belle II
… by plotting Receiver Operating Characteristic (ROC) curves for 0.1 GeV/c intervals. The FBDT model was worse than the benchmark likelihood ratio test model for the whole momentum range during testing on Monte Carlo (MC) simulated data. This is seen in the lower Area Under the Curve (AUC) values …
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Speech/Music Discrimination: Novel Features in Time Domain
… The Receiver Operating Characteristics (ROC) curves were used to assess each one of the proposed features as well as certain relevant features from the literature for the purpose of comparison. The RSF feature introduced up to 8% enhancement when compared to a couple of relevant features …
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Radiation source detection from mobile sensor networks using principal component analysis
… using receiver operating characteristic, or ROC curves. Further study finds that although the PCA-based method doesn't work well on current mobile sensor networks, its performance can be improved by increasing the radiation spectral quality.
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Risk prediction models for hip fracture: parametric versus Cox regression
… fracture using Threshold regression with Wiener process. Similar predictors were fitted using Cox regression for comparison. Results: There were 632 first hip fractures. Age, bone density, maternal and personal prior fractures were significant risk factors for hip fracture. Weibull had better …
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Performance Evaluation of Cognitive Radio Spectrum Sensing Techniques through a Rayleigh Fading Channel
… ratio, receiver operating characteristics (ROC) curves and complementary ROC curves. A detailed performance analysis for each spectrum sensing technique then follows, with comparisons done to determine the technique that offers the best relative performance.
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Diagnostic Accuracy and Clinical Potential for the Strengths and Weaknesses of Attention-Deficit/Hyperactivity Symptoms and Normal Behaviors Scale (SWAN)
… scales. Receiver operating characteristic (ROC) curve analyses were used to determine the SWAN and SDQ/HI cutoff scores and compare their performance in identifying cases with ADHD from cases with other disorders in this sample. Results: Regarding convergent validity, the SWAN total and …
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Validation of the CAT rapid: a smartphone screening tool for HIV-associated neurocognitive disorders in South Africa
… suitable for the detection of HIV-associated neurocognitive disorders (HAND) in South Africa. Study 1 of the current thesis aimed to establish construct validity of a new screening tool, the Cognitive Assessment Tool-Rapid(CAT-Rapid), in a sample of cognitively healthy South African …
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Detection of side-channel communication in a mobile ad-hoc network environment using the Hamming distance metric
… such as: Receiver Operating Characteristic (ROC) curves, and Support Vector Machines.
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Incorporating Climate Sensitivity for Southern Pine Species into the Forest Vegetation Simulator
… Model and diagnostics such as receiver operating curves (ROC) and variable importance plots were examined to assess model performance. Presence-absence classification models had out-of-bag error rates ranging from 6.32% to 16.06%, and areas under ROC curves ranging from 0.92-0.98. Regression …
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Radar detection and identification of human signatures using moving platforms
… some type of Fourier analysis, such as Doppler processing. However, in many environments, the signal-to-noise ratio (SNR) of human returns is quite low. Furthermore, Fourier-based techniques assume a linear variation in target phase over the aperture, whereas human targets have a highly nonlinear …
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Assessment Of Memory Function And Effort Using The Wechsler Memory Scale - 4th Edition
… accuracy with receiver operating characteristic (ROC) curves. It was predicted that measures from within the WMS-IV would be able to reliably differentiate between actual and simulated TBI, and furthermore, between well simulated and poorly simulated TBI. The results from this study provide …
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Infection with MCPyV, KIV, WUV, and HPV as potential risk factors for lung cancer
… based upon receiver operating characteristic (ROC) curve analysis. We also applied these models, and data visualizations (kernel density plots, ROC curves, predicted probability plots, Q-Q plots), to empirical data evaluating the association between HPV16 L1 antibody response and colorectal …
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Full waveform inversion of ultrasonic phased array data for the tomographic reconstruction of heterogeneous media for NDT
… location error, and probability of detection via ROC curves.;This framework is first applied to a synthetic randomly heterogeneous material with a side drilled hole present. It is then applied to a layered medium that contains three inclusions contained in different layers. The latter case being …
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Autism Assessment from Home: Evaluating the Remote Childhood Autism Rating Scale, Second Edition (rCARS2) Observation for Tele-Assessment of Autism
… p < .001). Receiver operating characteristic (ROC) curves optimized rCARS2 Observation cutoff scores to maximize sensitivity and specificity in predicting possible diagnostic classification (88.9% sensitivity, 80% specificity) and ADOS-2 classification (83.3% sensitivity, 70.6%, specificity). …
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Identifying Response to Therapy in Longitudinal PET Imaging Studies
… to predict response in patients according to ROC curves.
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Weak GPS Signal Acquisition Using Antenna Diversity
… is challenging. In these situations, additional processing gain is required. A common method is to extend the coherent integration time. However, in weak signal situations, using only long coherent integration is limited by navigation data bit transitions and receiver oscillator instability. Using …
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Anomaly detection for natural gas regulator stations
… pressure time-series data was collected and processed for each regulator station. Useful features from these time-series were extracted, including day-today changes and moving averages. Piecewise linear segmentation was also performed on the time-series to extract relevant features. These …
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Detection of prostate cancer using multi-parametric magnetic resonance
… under the receiver operator characteristic (ROC) curves were compared. Our best FLD classifier achieved an average ROC area of 0.839 (±0.064) and our best SVM classifier achieved an average ROC area of 0.761 (±0.043). The T2W intensity maximum likelihood classifier, our best single-channel …
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