Essays about: "Spatial Experiment"
Showing result 16 - 20 of 116 essays containing the words Spatial Experiment.
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16. Enhancement-basedSmall TargetDetection for InfraredImages
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Infrared small target detection is widely used in fields such as military and security. UNet, which is a classical semantic segmentation method proposed in 2015, has shown excellent performance and robustness. However, U-Net suffers from the problem of losing small targets in deep layers after multiple down-sampling operations. READ MORE
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17. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE
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18. Enhancing Object Detection in Infrared Videos through Temporal and Spatial Information
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Object detection is a prominent area of research within computer vision. While object detection based on infrared videos holds great practical significance, the majority of mainstream methods are primarily designed for visible datasets. READ MORE
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19. The Doorstep Realm Exploring children’s democratic experimentalism in public space
University essay from Göteborgs universitet/HDK-Valand - Högskolan för konst och designAbstract : The Doorstep Realm explores children’s everyday acts of democracy within the frame of Democratic Experimentalism [Unger, 2001] for the purpose of enriching and extending children’s spatial belonging and democratic engagement in public space. The project argues that children have limited opportunity to engage within a wide range of public space. READ MORE
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20. Telecom Fraud Detection Using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. READ MORE