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MACHINE LEARNING FOR TARGET DETECTION USING UWB RADAR SENSOR NETWORKS
(2022-12-05)
Machine learning (ML) has recently been used to solve critical problems. This dissertation focuses on developing systems using Ultra-Wideband (UWB) wireless sensor networks and machine learning to solve critical tasks such ...
Machine Learning-based Methods for the Segmentation of Scanning Electron Microscopy Images of Fine-Grained Shale Samples
(2022-12-15)
The segmentation of scanning electron microscopy (SEM) images is critical yet time-consuming for geological studies, as it will need to differentiate the boundaries for different mineral objects to facilitate subsequent ...
Detection and classification of object presence and characteristics in a water container using high frequency ultrasound
(2022-05-17)
Detection and characterization of soluble, diffuse, and solid objects and their characteristics in water has important implications in various applications, including water quality assessment and incontinence monitoring ...
LEARNING TOPOLOGY PRESERVING EMBEDDINGS FOR SPEEDING UP NEAREST NEIGHBOR RETRIEVAL
(2022-05-06)
Given a database of objects and a query object, it’s possible to gather
a number of the closest neighbors to the query object. This operation is
important to a number of diverse fields such as computer vision, content-
based ...
VERIFICATION AND VALIDATION OF POWER CONVERTERS FOR USE IN FUTURE POWER SYSTEM ARCHITECTURES
(2022-05-23)
Electronics are more widely penetrating almost every area of society and as they
do, the demand to supply them with regulated power increases considerably. The scale of
the electronic power distribution systems needed ...