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 233 for “"Operating characteristic"”.
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Sample Size Formulas For Estimating Areas Under the Receiver Operating Characteristic Curves With Precision and Assurance
The area under the receiver operating characteristic curve (AUC) is commonly used to quantify the discriminative ability of tests with ordinal or continuous test data. When planning a study to evaluate a new test, it is important to determine a minimum sample size required to achieve a prespecified …
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Design and tests of a six-stage axial-flow compressor having a tip speed of 550 feet per second and a flat operating characteristic at constant speed
… with a 550 feet per second tip speed and a flat operating characteristic (constant stagnation-pressure ratio at constant speed over the operating range of the compressor) was designed and tested. The design theory and test results are presented in this thesis. It was designed for a constant power …
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Classification Tree Models for Predicting Cancer Status
… on sensitivity and specificity. The receiver operating characteristic curves reflected high sensitivities and specificities.
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An exploration of data-driven techniques for predicting extreme events in intermittent dynamical systems
… constructed from the same principles as Reciever Operating Characteristic Curves, and exhibits a geometric connection to scale separation. Additionally, I will demonstrate the application of alpha-star to the advance prediction of intermittent extreme events in the Majda-McLaughlin-Tabak model of …
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Hybrid Methods for Feature Selection
… in terms of the area under the Receiver Operating Characteristic (ROC) curve (AUC) performance metric. The proposed methods have been shown empirically to improve the performance of existing feature selection methods.</p>
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Radiation source detection from mobile sensor networks using principal component analysis
… method's performance is analyzed 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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Joint distribution of X and X(n) for a random sample from the standard normal distribution with applications to a variables sampling inspection procedure which guarantees acceptance of perfectly screened lots.
… item in the lot is described by a single quality characteristic. It is assumed that this quality characteristic has a normal density function with known variances Tables of standard truncated normal distribution required to compute the tables of the joint distribution of X and X(n). are also …
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Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk
… to the cross-folded area under the receiver operating characteristic curve while maintaining model parsimony. Finally, we extend our model with John C. Platt's method to support non-binary outcomes in order to augment clinical relevancy.
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Serum markers for predicting significant necroinflammatory activity in patients with chronic hepatitis B
… 0.677 × HA score 1.962. The area under receiver operating characteristic curve of the SI score was 0.831. The sensitivity, specificity, positive predictive value and negative predictive value of the SI score were 79.5%, 70.8%, 76.8% and 74.3%, respectively. CONCLUSIONS: A simple scoring system …
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Gradient Boosted Decision Tree Application to Muon Identification in the KLM at Belle II
… of 0.6 < p < 5.0 GeV/c 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 …
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Validating the Sport Concussion Assessment Tool to Improve Surveillance of Mental Health Issues Among Canadian Varsity Athletes
… Structural equation modelling and receiver operating characteristic analysis were conducted to assess construct validity and discriminative ability in identifying mental health concerns across both models. Anderson’s model provided a better model fit, structure, and discriminative ability …
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Anomaly detection in hyperspectral signatures using automated derivative spectroscopy methods
… performance characterization through receiver operating characteristic curves, and (4) signature classification using nearest mean and maximum likelihood classifiers. The Hyperspectral database contained signatures with various anomaly concentrations ranging from weakly present to moderately …
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Implementation of a New Sigmoid Function in Backpropagation Neural Networks.
… to improve area under the curve for the receiver operating characteristic in biological and other classification tasks.</p>
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Relaxed mental state detection using the Emotiv Epoc and Adaptive Threshold Algorithms
… their performance was compared using receiver operating characteristic graphs.</p>
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The effect of lineup size on eyewitness identification accuracy
… accuracy in a lineup, as assessed with Receiver Operating Characteristic (ROC) analysis. Experiment 1 used a between-subject design (N=4401) with one video and lineup per subject. Experiment 2 used a within-subjects (N=105) design with 60 still photographs. For both experiments, showups—a lineup …
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Location Verification for Spoofing Detection in Non-Terrestrial Networks
… location verification. Results display receiver operating characteristic curves to evaluate the LVS performance under various satellite ephemeris error conditions, spoofing distances, number of measurements available to the system, and wireless channel properties. The proposed LVS is shown to …
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Detecting basal cell carcinoma in skin histopathological images using deep learning
… classifiers obtained an area under the receiver operating characteristic curve (AUC) of 0.981. Finally, we used our patch classifiers to generate a bag of scores for a given whole slide image (WSI), and attempted multiple ways of combining these scores to produce a single significant score to …
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On the performance of convolutional neural networks initialized with Gabor filters.
… is a boost in accuracy, Area Under ROC (Receiver Operating Characteristic) Curve (AUC), minimum loss, and speed in some cases based on the complexity of the dataset.
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Software-based decision-support : a basis for the development of a predictive system for sustainable management of haemonchosis in small ruminants
… misclassification. The application of Receiver Operating Characteristic curve analysis to the FAMACHA© method to select FAMACHA© categories for treatment, was in agreement with the findings that misclassification on Farm 1 would of necessity require that different treatment thresholds would need …
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