Essays about: "Matching network"
Showing result 1 - 5 of 120 essays containing the words Matching network.
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1. Enhancement of a Power Line Information System by Combining BIM and LiDAR Data
University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesiAbstract : With the great ongoing energy transition in Sweden, Svenska Kraftnät (SVK) sees a huge need for investment in the Swedish transmission network and supporting IT- systems. SVK has a great amount of collected laser data over the electric power transmission network however this data does not contain any semantic attribution that can be analyzed on broader information systems. READ MORE
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2. Decoding the surface code using graph neural networks
University essay from Göteborgs universitet / Institutionen för fysikAbstract : Quantum error correction is essential to achieve fault-tolerant quantum computation in the presence of noisy qubits. Among the most promising approaches to quantum error correction is the surface code, thanks to a scalable two-dimensional architecture, only nearest-neighbor interactions, and a high error threshold. Decoding the surface code, i.e. READ MORE
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3. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. 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. Diffusion models for anomaly detection in digital pathology
University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakultetenAbstract : Challenges within the field of pathology leads to a high workload for pathologists. Machine learning has the ability to assist pathologists in their daily work and has shown good performance in a research setting. READ MORE