Essays about: "Computer networks thesis"
Showing result 21 - 25 of 181 essays containing the words Computer networks thesis.
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21. Single image scene-depth estimation based on self-supervised deep learning : For perception in autonomous heavy duty vehicles
University essay from Uppsala universitet/Avdelningen för visuell information och interaktionAbstract : Depth information is a vital component for perception of the 3D structure of vehicle's surroundings in the autonomous scenario. Ubiquity and relatively low cost of camera equipment make image-based depth estimation very attractive compared to employment of the specialised sensors. READ MORE
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22. Investigation of dynamic control ML algorithms on existing and future Arm microNPU systems
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In this thesis, dynamically controlled machine learning algorithms running on state of the art Arm microNPUs, with an attached Cortex-M CPU, were investigated. The machine learning framework used was Tensorflow and different subsets of it, such as Tensorflow Lite micro. READ MORE
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23. Improving Brain Tumor Segmentation using synthetic images from GANs
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : Artificial intelligence (AI) has been seeing a great amount of hype around it for a few years but more so now in the field of diagnostic medical imaging. AI-based diagnoses have shown improvements in detecting the smallest abnormalities present in tumors and lesions. This can tremendously help public healthcare. READ MORE
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24. Anomaly Detection in Computer Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this degree project, we study the anomaly detection problem in log files of computer networks. In particular, we try to find an efficient way to detect anomalies in our data, which consist of different logging messages from different systems in CERN’s network for the LHC-b experiment. READ MORE
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25. Using Mask R-CNN for Instance Segmentation of Eyeglass Lenses
University essay from KTH/Matematisk statistikAbstract : This thesis investigates the performance of Mask R-CNN when utilizing transfer learning on a small dataset. The aim was to instance segment eyeglass lenses as accurately as possible from self-portrait images. Five different models were trained, where the key difference was the types of eyeglasses the models were trained on. READ MORE
