Essays about: "Computer networks thesis"
Showing result 6 - 10 of 225 essays containing the words Computer networks thesis.
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6. Detecting Faulty Piles of Wood using Anomaly Detection Techniques
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The forestry and the sawmill industry have a lot of incoming and outgoing piles of wood. It's important to maintain quality and efficiency. This motivates an examination of whether machine learning- or more specifically, anomaly detection techniques can be implemented and used to detect faulty shipments. READ MORE
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7. Optimizing Convolutional Neural Networks for Inference on Embedded Systems
University essay from Uppsala universitet/Signaler och systemAbstract : Convolutional neural networks (CNN) are state of the art machine learning models used for various computer vision problems, such as image recognition. As these networks normally need a vast amount of parameters they can be computationally expensive, which complicates deployment on embedded hardware, especially if there are contraints on for instance latency, memory or power consumption. READ MORE
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8. Implementation of a Deep Learning Inference Accelerator on the FPGA.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Today, Artificial Intelligence is one of the most important technologies, ubiquitous in our daily lives. Deep Neural Networks (DNN's) have come up as state of art for various machine intelligence applications such as object detection, image classification, face recognition and performs myriad of activities with exceptional prediction accuracy. READ MORE
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9. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Parsing floorplans have been a problem in automatic document analysis for long and have up until recent years been approached with algorithmic methods. With the rise of convolutional neural networks (CNN), this problem too has seen an upswing in performance. READ MORE
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10. Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents
University essay from Uppsala universitet/Institutionen för lingvistik och filologiAbstract : Encrypted historical manuscripts (also called ciphers), containing encoded information, provides a useful resource for giving new insight into our history. Transcribing these manuscripts from image format to computer readable format is a necessary step for decrypting them. READ MORE
