Essays about: "neural network models"
Showing result 1 - 5 of 652 essays containing the words neural network models.
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1. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks
University essay from Uppsala universitet/HögenergifysikAbstract : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. READ MORE
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2. Investigation of Facial Age Estimation using Deep Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Age estimation from facial images has drawn increasing attention in the past fewyears. This thesis project performs the age group classification of facial imagesacquired in in-the-wild conditions using deep convolutional neural networkstechniques. READ MORE
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3. Computation models for audiovisual attention decoding
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : When being in a noisy environment, a normal hearing person can manage to sort out background noise and focus on the attended source. This is something that a person with impaired hearing will struggle with, even when wearing a hearing aid. READ MORE
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4. Modeling and Interpreting CTG Curves from Labor Using Machine Learning and Pattern Recognition
University essay from Lunds universitet/Matematisk statistikAbstract : The main monitoring method during labor is cardiotocography, CTG, which measures the fetal heartbeat, FHR, as well as the uterine contractions, TOCO. The CTG is a valuable tool in assessing the fetal status and it is evaluated intermittently by clinicians during the progress of the labor. READ MORE
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5. Probabilistic Forecasting through Reformer Conditioned Normalizing Flows
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Forecasts are essential for human decision-making in several fields, such as weather forecasts, retail prices, or stock predictions. Recently the Transformer neural network, commonly used for sequence-to-sequence tasks, has shown great potential in achieving state-of-the-art forecasting results when combined with density estimations models such as Autoregressive Flows. READ MORE
