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 18 of 18 for “"Novelty detection"”.
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Predictive Novelty Detection in Songbird Auditory Cortex
… the processing of novel stimuli. Detecting novelty is therefore a fundamental problem for the brain to solve. And it turns out to be complicated, as stimuli can be completely novel, or just novel relative to certain certain contexts or expectations. To better understand how the brain detects …
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AI-Based Novelty Detection for Industrial and Robotic Applications
L'abstract è presente nell'allegato / the abstract is in the attachment
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Batch and Online Implicit Weighted Gaussian Processes for Robust Novelty Detection
… case of a recently proposed approach to GP-based novelty detection that uses standard GPs (i.e. GPs employing Gaussian likelihoods). However, standard GPs are sensitive to outliers in training data, and this limitation carries over to GP-based novelty detection. This limitation has been typically …
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Thickness estimation, automated classification and novelty detection in ultrasound images of the plantar fascia tissues
… treatment department for early diagnosis and the detection of the PF associated medical problems. More specifically, this study is required to investigate the possibility of a proposed model for localizing and estimating the PF thickness a cross three different sections (rearfoot, midfoot and …
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Toward a General Novelty Detection Framework in Structural Health Monitoring; Challenges and Opportunities in Deep Learning
Structural health monitoring (SHM) is an anomaly detection process. Data-driven SHM has gained much attention compared to the model-based strategy, specifically with the current state-of-the-art machine learning routines. Model-based methods require structural information, time-consuming model …
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On infrastructure for resolving novelty in product development : a view from the fast paced world of imaging and printing
… the difficult changes stem from the emergence of novelty. The significance of novelty is that it is not immediately apparent and can be overlooked. It is a common element in disruptive technology, knowledge management, and firefighting research. This work examines the effects of emergent novelty …
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On the Effectiveness of Dimensionality Reduction for Unsupervised Structural Health Monitoring Anomaly Detection
… the Structural Health Monitoring (SHM) anomaly detection literature. While DR is favorable in supervised anomaly detection, where possible novelties are known a priori, the efficacy is less clear in unsupervised detection. In this work, we perform a detailed assessment of the DR performance …
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The design of an effective sensor fusion model for condition monitoring systems of turning processes
… fusion model for turning processes for the detection of tool wear. Multi-sensors combined with a novelty detection algorithm and Learning Vector Quantisation (LVQ) neural networks are used in this research to detect tool wear and provide diagnostic and prognostic information. A novel …
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Non-equilibrium physics: from spin glasses to machine and neural learning
… to perform discriminative tasks such as novelty detection and classification. Finally, we conclude our exploration at the long-term memory and natural dynamics kingdom and investigate the generative modeling ability in many-body localized systems. Throughout our journey, we uncover …
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Multiscale techniques for image segmentation, classification and retrieval
… images. The use of Support Vector Machine Novelty Detection is proposed as a method of incorporating these relevance judgements into the retrieval ranking process. Hence the techniques developed in this project provide a general application-orientated framework in which multiscale …
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Autonomous navigation in unknown environments using machine learning
… estimated. Pairing this neural network with novelty detection and a self-supervised labeling technique, we show that we can deploy our system initially with no training, and it will continually improve with experience and expand the set of environment types with which it is familiar.
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Temporally distinct impairments in cognitive function following a sensitizing regimen of methamphetamine
… and that was not attributable to impaired novelty detection. These data also suggest that at least some of the neurocognitive abnormalities caused by chronic MA administration may normalize after prolonged abstinence, since the ability to detect novelty recovered after 30 days of …
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Inference and uncertainty quantification for unsupervised structural monitoring problems
… dependencies of the relevant random variables in novelty detection inference problems under various constraints related to the quality, size, and dimensionality of data sets. In doing so, we have mainly used the statistical graphical models and Markov random fields, optimization methods, kernel …
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Investigating Ensembles of Single-class Classifiers for Multi-class Classification
Traditional methods of multi-class classification in machine learning involve the use of a monolithic feature extractor and classifier head trained on data from all of the classes at once. These architectures (especially the classifier head) are dependent on the number and types of classes, and are …
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The role of daytime napping in sleepiness and cognitive function in 24-70 year olds /
… sleepiness, reaction time, working memory, 11 novelty detection, and waking electro physiological measures were taken before and after each condition. EEG was also recorded during each nap or rest condition. Napping reduced subjective sleepiness, improved working memory (serial addition / …
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MAVIDS: an intelligent intrusion detection system for autonomous unmanned aerial vehicles
… against UAVs increase, an intelligent Intrusion Detection System (IDS) is needed to aid the UAV in identifying attacks. The UAV domain presents unique challenges for intelligent IDS development, primarily the variety of components, communication protocols, and dataset availability. A …
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Generative Adversarial Networks for Inverse Design Problems in Engineering: Methods to handle performance, constraints, and creativity requirements
… that is crucial, and that is creativity and novelty. The previous models demonstrate the efficacy of GAN-based models in performing inverse design tasks. GAN models, however, are not capable of generating unique designs, a key to innovation and a major gap in AI-based design automation …
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Ψηφιακή επεξεργασία και αυτόματη κατηγοριοποίηση περιβαλλοντικών ήχων
Στο κεφάλαιο 1 παρουσιάζεται μία γενική επισκόπηση της αυτόματης αναγνώρισης γενικευμένων ακουστικών γεγονότων. Επιπλέον συζητάμε τις εφαρμογές της τεχνολογίας αναγνώρισης ακουστικού σήματος και δίνουμε μία σύντομη περιγραφή του state of the art. Τέλος, αναφέρουμε τη συνεισφορά της διατριβής. Στο …