Essays about: "Lärande i nätverk"
Showing result 6 - 10 of 82 essays containing the words Lärande i nätverk.
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6. Educational superintendents' perspectives of a national networking project on school segregation in Sweden : Lessons to be learned?
University essay from Stockholms universitet/Institutionen för pedagogik och didaktikAbstract : World-wide, countries struggle with providing equitable education to all children, where the socioeconomic (SES) background of the students does not affect their educational attainment and achievement. School segregation has been shown in previous research to exacerbate the influence of family background on educational achievement and attainment. READ MORE
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7. A Comparison of CNN and Transformer in Continual Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Within the realm of computer vision tasks, Convolutional Neural Networks (CNN) and Transformers represent two predominant methodologies, often subject to extensive comparative analyses elucidating their respective merits and demerits. This thesis embarks on an exploration of these two models within the framework of continual learning, with a specific focus on their propensities for resisting catastrophic forgetting. READ MORE
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8. Prediction of Persistence to Treatment for Patients with Rheumatoid Arthritis using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rheumatoid Arthritis is an inflammatory joint disease that is one of the most common autoimmune diseases in the world. The treatment usually starts with a first-line treatment called Methotrexate, but it is often insufficient. One of the most common second-line treatments is Tumor Necrosis Factor inhibitors (TNFi). READ MORE
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9. Reinforcement Learning for Pickup and Delivery Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this project multi-agent reinforcement learning (RL) for a warehouse environmentwith robots delivering packages has been studied. This was done by first implementing the RLalgorithm Q-learning and investigating how the parameters of Q-learning affect the performanceof the algorithm. READ MORE
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10. Software Fault Detection in Telecom Networks using Bi-level Federated Graph Neural Networks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The increasing complexity of telecom networks, induced by the recent development of 5G, is a challenge for detecting faults in the telecom network. In addition to the structural complexity of telecommunication systems, data accessibility has become an issue both in terms of privacy and access cost. READ MORE