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Showing result 1 - 5 of 1737 essays matching the above criteria.
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1. Robust Object Recognition and Tracking with Drones
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. READ MORE
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2. Cross project Just-In-Time bug detection
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Software is present in almost all aspects of our lives, and with more parts of life beingdriven by code, the importance of limiting bugs is critical. Studies have shown that thelonger a bug is present in a system increases the complexity of finding and handlingthe bug. READ MORE
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3. 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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4. Development of ultra-sensitive immunoassay on Gyrolab microfluidic platform using Binding Oligo Ladder Detection : Enhancing Gyrolab biomarker assays using Exazym®
University essay from Uppsala universitet/Institutionen för farmaciAbstract : Immunoassays are widely used for detection of antigens in a wide range of applications including assays in pharmaceutical development. Immunoassays are continuously improved in many aspects including automatization, miniaturization and extending the dynamic range. READ MORE
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5. Mining infrequent group of motifs from multidimensional time series: A case study at Alfa Laval AB
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : In collaboration with an industrial partner, Alfa Laval AB, this thesis discusses a novel approach for identifying operational modes, specifically a cleaning mode, in separator machines without the benefit of labelled data and with very limited operating knowledge. Understanding the operational modes is crucial for comprehending the machine’s behaviour and ensuring its optimal performance. READ MORE