Essays about: "COMPUTER Networks"
Showing result 1 - 5 of 547 essays containing the words COMPUTER Networks.
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1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE
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2. Improving echocardiogram view classification using diffusion models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. READ MORE
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3. Mellanrum: Towards an Entangled Audiovisual Practice
University essay from Göteborgs universitet/Högskolan för scen och musikAbstract : This artistic research project is a document of an entangled audiovisual practice in progress. With a generative approach and thinking in systems applied to modular synthesizers and procedural computer graphics the aim is to blur the line between the process of generating sounding material and the process of generating visual material. READ MORE
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4. The Winograd Convolution Method
University essay from KTH/Skolan för teknikvetenskap (SCI)Abstract : The convolution operation is a powerful tool which is widely used in many disciplines.Lately is has seen much use in the area of computer vision, particularly with convolutionalneural networks. For these use cases, convolutions need to be run repeatedly many timeswhich necessitates specialized hardware. READ MORE
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5. Deep Learning Model Deployment for Spaceborne Reconfigurable Hardware : A flexible acceleration approach
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Space debris and space situational awareness (SSA) have become growing concerns for national security and the sustainability of space operations, where timely detection and tracking of space objects is critical in preventing collision events. Traditional computer-vision algorithms have been used extensively to solve detection and tracking problems in flight, but recently deep learning approaches have seen widespread adoption in non-space related applications for their high accuracy. READ MORE