Essays about: "neural image"
Showing result 16 - 20 of 689 essays containing the words neural image.
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16. Adversarial robustness of STDP-trained spiking neural networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Adversarial attacks on machine learning models are designed to elicit the wrong behavior from the model. One such attack on image classifiers are maliciously crafted inputs that, to the human eye, look untampered with but have been carefully altered to cause misclassification. READ MORE
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17. ISAR Imaging Enhancement Without High-Resolution Ground Truth
University essay from Linköpings universitet/DatorseendeAbstract : In synthetic aperture radar (SAR) and inverse synthetic aperture radar (ISAR), an imaging radar emits electromagnetic waves of varying frequencies towards a target and the backscattered waves are collected. By either moving the radar antenna or rotating the target and combining the collected waves, a much longer synthetic aperture can be created. READ MORE
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18. Improved U-Net architecture for Crack Detection in Sand Moulds
University essay from Högskolan i Gävle/DatavetenskapAbstract : The detection of cracks in sand moulds has long been a challenge for both safety and maintenance purposes. Traditional image processing techniques have been employed to identify and quantify these defects but have often proven to be inefficient, labour-intensive, and time-consuming. READ MORE
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19. Automated Interpretation of Lung Ultrasound for COVID-19 and Tuberculosis diagnosis
University essay from Lunds universitet/Matematik LTHAbstract : BACKGROUND. Early and accurate detection of infectious respiratory diseases like COVID-19 and tuberculosis (TB) plays a crucial role in effective management and the reduction of preventable mortality. READ MORE
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20. Using Machine Learning to Optimize Near-Earth Object Sighting Data at the Golden Ears Observatory
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This research project focuses on improving Near-Earth Object (NEO) detection using advanced machine learning techniques, particularly Vision Transformers (ViTs). The study addresses challenges such as noise, limited data, and class imbalance. READ MORE