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 6 of 6 for “"Deep Autoencoder"”.
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A FEDERATED DEEP AUTOENCODER FOR DETECTING IOT CYBER ATTACKS
… for traditional detection systems. However, deep learning-based solutions have been utilized in recent years, and many challenges have yet to be addressed. In this thesis, we propose a federated-based approach, this will employ a deep autoencoder to detect botnet attacks using on-device …
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Deep Generative Models for Unsupervised Scale-Based and Position-Based Disentanglement of Concepts from Face Images.
… recent advances of artificial intelligence using deep neural networks, computers are still struggling at achieving a rich and flexible understanding of face images comparable to humans' face perception abilities. This thesis aims at finding fully unsupervised ways for learning a transformation …
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Lightweight intrusion detection of attacks on the Internet of Things (IoT) in critical infrastructures.
… Traditional Machine Learning (ML) and Deep Learning (DL) approaches have proven to offer promising results in detecting intrusions; however, their computational demands make them impractical for resource-constrained IoT devices. This study proposes an Optimized Common Features Selection …
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Clustering and dimensionality reduction for time-series service monitoring data
… as the initial dataset) produced with Deep and Convolutional AutoEncoders. The experiments disclose that the reconstructed dataset with Deep AutoEncoder is the most performing. Later, we propose an ensemble-based DR approach to effectively handle the high-dimensionality of the E2E …
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Learning Clinical Body Composition Metrics from 2D and 3D Optical Imaging
… learning. 4. Performs a systematic review of deep 3D shape autoencoders for total human body geometry with the goal of identifying the current state of the art methods and architectures in reconstruction accuracy while also suggesting standards and best practices for future work in this …
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High-dimensional MR spectroscopic imaging integrating physics-based modeling and machine learning
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2025-12-01