Essays about: "Project performance"
Showing result 11 - 15 of 3046 essays containing the words Project performance.
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11. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder
University essay from Lunds universitet/Fysiska institutionenAbstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE
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12. Robotic Automation of Mechanical Verification
University essay from KTH/Integrerad produktutveckling och designAbstract : This master thesis explores the implementation of Collaborative robots into Elekta's mechanical product verification process. Elekta is a pioneer in precision radiation therapy solutions. Ensuring the compliance of Elekta's products with performance, safety, and quality criteria is of great importance. READ MORE
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13. Cost-Effective Design Solution for GAIM Shooting Trigger PCB & Improving the Power Distribution Network
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Virtual Reality (VR) shooting simulators have gained popularity as effective training and entertainment tools. GAIM is a Swedish company specializing in VR shooting simulators, offering VR headsets with physical dummy guns and rifles. READ MORE
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14. Sustainable food packaging based on polyhydroxyalkanoate
University essay from Högskolan i Borås/Akademin för textil, teknik och ekonomiAbstract : The Norwegian Food Research Institute (Nofima) and the University of Borås worked together to develop this project. The commonly used packaging materials pose a serious threat to the environment, as they are produced from nonrenewable crude oil and cannot decompose naturally. READ MORE
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15. Data Augmentation for Object Detection using Deep Reinforcement Learning
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. READ MORE