Essays about: "thesis on detection"
Showing result 21 - 25 of 1737 essays containing the words thesis on detection.
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21. DISTRIBUTED ARTIFICIAL INTELLIGENCE FOR ANOMALY DETECTION IN A MODULAR MANUFACTURING ENVIRONMENT
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : This thesis investigates anomaly detection and classification in a simulated modular manufacturingenvironment using Machine Learning algorithm Random Forest. This algorithm is tested on a localcomputer and an embedded device, specifically the Raspberry PI. READ MORE
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22. Är mjölkprover en alternativ provtagningsmetod för diagnostik av lentivirus hos små idisslare?
University essay from SLU/Dept. of Clinical SciencesAbstract : Lentivirus hos små idisslare (engelska: small ruminant lentivirus; SRLV) innefattar två olika virus: visna-maedivirus (VMV) och kaprin artrit encefalitvirus (CAEV). Dessa två virus orsakar kroniska infektioner hos små idisslare som slutligen leder till döden. READ MORE
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23. Few-Shot Learning for Quality Inspection
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : The goal of this project is to find a suitable Few-Shot Learning (FSL) model that can be used in a fault detection system for use in an industrial setting. A dataset of Printed Circuit Board (PCB) images has been created to train different FSL models. READ MORE
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24. Handling Third-Party Component Licenses:A Case Study in a Swedish Company : How well do existing license management tools detect potentially unsafe third-party component licenses?
University essay from Högskolan Dalarna/InformatikAbstract : Modern software development relies heavily on third-party components, which are pre-built software modules developed by other organisations and can be either open-source or commercial. These components serve as building blocks for developers to create complex applications more efficiently. READ MORE
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25. Methods for Developing TinyConvolutional Neural Networksfor Deployment on EmbeddedSystems
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : With the recent development in the Deep Learning area, computationally heavy tasks like object detection in images have become easier to compute and take less time to execute with powerful GPUs. Also, when employing sufficiently larger models, these daily tasks are predicted with greater accuracy. READ MORE