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 7 of 7 for “"Machine learning-based techniques"”.
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Development of Machine Learning-Based Techniques in Psychiatric Neuroimaging
… goal of this thesis is to investigate whether machine learning-<br/>based methods can be successfully applied to make clinically relevant predictions. These techniques are applied to a range of data such as demographic, socioeconomic and neuropsychiatric variables but primarily to structural …
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Automatic Burns Analysis Using Machine Learning
… burn depths. To address these challenges, machine learning-based techniques were proposed to evaluate burn wounds in a thesis. The study utilized image-based networks to analyze two medical image databases of burn injuries from Caucasian and Black-African cohorts. The deep learning-based …
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AI-driven methods for resiliency and security assessment: the case for autonomous driving system and HPC storage system
… the system directly. Moreover, traditional model-based or rule-based assessment techniques cannot provide sufficient coverages because of the wide range of use cases and failure modes of complex systems. Recently artificial intelligence (AI)-driven methods are used for timely accurate and …
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Application of Computer Vision Techniques for Railroad Inspection using UAVs
… aerial imagery from a UAV, Computer Vision and Machine Learning based techniques were developed in this thesis to analyze two kinds of defects on the rail tracks. The defects targeted were missing spikes on tie plates and cracks on ties. In order to perform this inspection, the rail region was …
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Learning to de-anonymize social networks
… the privacy of such datasets. We propose novel machine-learning based techniques to learn the identities of nodes in social graphs, thereby automating manual, heuristic-based attacks. Our work extends the vast literature of social graph de-anonymization attacks by systematizing them. We present …
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Machine Learning Based Detection and Evasion Techniques for Advanced Web Bots.
… malicious. Such web bots vary in sophistication based on their purpose, ranging from simple automated scripts to advanced web bots that have a browser fingerprint and exhibit a humanlike behaviour. Advanced web bots are especially appealing to malicious web bot creators, due to their browserlike …
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Gallium Nitride Power Electronics using Machine Learning
… are new to the power community, there is a steep learning curve involved, with dispersed information on how best to employ these devices. This work aims to solve this problem through the development of a universal GaN power device and circuit model and the formulation of design rules and …