Essays about: "Edge feature"
Showing result 1 - 5 of 53 essays containing the words Edge feature.
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1. Using Synthetic Data For Object Detection on the edge in Hazardous Environments
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis aims to evaluate which aspects are important when generating synthetic data with the purpose of running on a lightweight object detection model on an edge device. The task we constructed was to detect Canisters and whether they feature a protective valve called a Cap or not (called a No-Cap). READ MORE
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2. Evaluating aperture shape controller (ASC) in modulated radiation treatments
University essay fromAbstract : To decrease aperture complexity, the aperture shape controller (ASC) is a recently introduced function in Eclipse external beam planning (Varian Medical Systems, Palo Alto, USA). ASC works within the photon optimizer, minimizing distances between adjacent leaf tips of the MLC. READ MORE
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3. Deep Reinforcement Learning in Games Based on Extracted Features
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : FlappyBird is a popular mobile game that captured many people's attention because itwas easy to understand but difficult to perform --- players were often right on the edge ofsucceeding, which led to a strong desire to play again. The purpose of this project is to investigatethe possibility of using a neural network trained with reinforcement learning to play the game usingextracted features rather than raw images. READ MORE
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4. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. READ MORE
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5. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning
University essay from Lunds universitet/Matematisk statistikAbstract : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. READ MORE