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Full-Text Articles in Computer Engineering
Deep Learning For High-Impedance Fault Detection And Classification, Khushwant Rai
Deep Learning For High-Impedance Fault Detection And Classification, Khushwant Rai
Electronic Thesis and Dissertation Repository
High-Impedance Faults (HIFs) are a hazard to public safety but are difficult to detect because of their low current amplitude and diverse characteristics. Supervised machine learning techniques have shown great success in HIF detection; however, these approaches rely on resource-intensive signal processing techniques and fail in presence of non-HIF disturbances and even for scenarios not included in training data. This thesis leverages unsupervised learning and proposes a Convolutional Autoencoder framework for HIF Detection (CAE-HIFD). In CAE-HIFD, Convolutional Autoencoder learns only from HIF signals by employing cross-correlation; consequently, eliminating the need for diverse non-HIF scenarios in training. Furthermore, this thesis proposes …
Deep Neural Networks For Human Activity Recognition With Wearable Sensors, Davoud Gholamiangonabadi
Deep Neural Networks For Human Activity Recognition With Wearable Sensors, Davoud Gholamiangonabadi
Electronic Thesis and Dissertation Repository
Human Activity Recognition (HAR) has been attracting significant research attention because of a wide range of applications from healthcare to security. Recently, deep learning approaches have demonstrated great success in the HAR area. However, these models are often evaluated on the same subjects as those used to train the model; thus, the provided accuracy estimates do not pertain to new subjects. Consequently, this thesis examines the generalization capability of different machine learning architectures using Leave-One-Subject-Out Cross-Validation (LOSOCV) and then proposes a personalized model. The accuracy is improved by considering two feature selection directions, time- and frequency-domain, and by dynamically selecting …