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Showing result 1 - 5 of 96 essays matching the above criteria.
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1. WSA-ENLIL + Cone ensemble modeling of an Earth-directed ICME : Comparison with in-situ observations by Solar Orbiter and WIND at L1
University essay from Uppsala universitet/Institutionen för fysik och astronomi; Uppsala universitet/Institutet för rymdfysik, UppsalaavdelningenAbstract : Coronal mass ejections (CMEs) are considered the most energetic phenomenon in the heliosphere. Originated in the solar corona, they are formed by ejected plasma driven by strong magnetic fields. READ MORE
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2. Birds of a Feather Flock Together: Does Similarity Between Sponsor and Sponsee Predict a Successful Sponsorship? : A Study Based on External Congruence and Women’s Sports
University essay fromAbstract : Sponsorship is an essential part of marketing communications within sports (Biscaia et al., 2014). Congruence, or the degree to which a sponsor and an event mesh, is one of the main factors influencing sponsorship memory accuracy (Evans, 2019). READ MORE
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3. Quantification of DNA Nanoballs Using Image Processing Techniques
University essay from Uppsala universitet/Avdelningen Vi3Abstract : In gene editing, it is important to identify the number of edited and unedited nucleic acids in the development of new therapies and drugs. Countagen is developing a technology for accelerating genomic research and their product is called GeneAbacus. READ MORE
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4. GAN-Based Counterfactual Explanation on Images
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Machine learning models are widely used in various industries. However, the black-box nature of the model limits users’ understanding and trust in its inner workings, and the interpretability of the model becomes critical. READ MORE
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5. Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Neuromorphic processors are a promising new type of hardware for optimizing neural network computation using biologically-inspired principles. They can effectively leverage information sparsity such as in images from event-based cameras, and are well-adapted to processing event-based data in an energy-efficient fashion. READ MORE