Essays about: "conclusion computer networks"
Showing result 1 - 5 of 31 essays containing the words conclusion computer networks.
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1. Mellanrum: Towards an Entangled Audiovisual Practice
University essay from Göteborgs universitet/Högskolan för scen och musikAbstract : This artistic research project is a document of an entangled audiovisual practice in progress. With a generative approach and thinking in systems applied to modular synthesizers and procedural computer graphics the aim is to blur the line between the process of generating sounding material and the process of generating visual material. READ MORE
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2. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning
University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperAbstract : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. READ MORE
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3. Exploring the Viability of PageRank for Attack Graph Analysis and Defence Prioritization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In today's digital world, cybersecurity is becoming increasingly critical. Essential services that we rely on every day such as finance, transportation, and healthcare all rely on complex networks and computer systems. READ MORE
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4. Developing a highly accurate, locally interpretable neural network for medical image analysis
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Background Machine learning techniques, such as convolutional networks, have shown promise in medical image analysis, including the detection of pediatric pneumonia. However, the interpretability of these models is often lacking, compromising their trustworthiness and acceptance in medical applications. READ MORE
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5. Integration of Continual Learning and Semantic Segmentation in a vision system for mobile robotics
University essay from Luleå tekniska universitet/RymdteknikAbstract : Over the last decade, the integration of robots into various applications has seen significant advancements fueled by Machine Learning (ML) algorithms, particularly in autonomous and independent operations. While robots have become increasingly proficient in various tasks, object instance recognition, a fundamental component of real-world robotic interactions, has witnessed remarkable improvements in accuracy and robustness. READ MORE