Essays about: "shape learning"
Showing result 21 - 25 of 169 essays containing the words shape learning.
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21. Educational Artificial Intelligent Chatbot:Teacher Assistant & Study Buddy
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : In the rapidly evolving landscape of artificial intelligence, the potential of large language models (LLMs) remains a focal point of exploration, especially in the domain of education. This research delves into the capabilities of AI-enhanced chatbots, with a spotlight on the "Teacher Assistant" & "Study Buddy" approaches. READ MORE
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22. Pilot Study on Working Memory : Investigating Single Trial Decoding to Find the Best Stimulus and Target for a Future Personalized Neurofeedback
University essay from KTH/Medicinteknik och hälsosystemAbstract : A standard Neurofeedback approach to mitigate the working memory decline in some fragile groups (elderly, subjects affected by stroke or Alzheimer's disease) can be suboptimal for some patients. The goal of this research is to investigate which visual stimulus (among colour, geometrical shape, direction, and symbol) is the most suited for each of the six healthy participants and which brain areas are the most discriminative, during the maintenance of a presented stimulus in a retro-cue-based working memory experiment. READ MORE
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23. Colonial Tendencies of Voluntourism: A Postcolonial Analysis of Weltwärts Testimonials
University essay from Lunds universitet/SociologiAbstract : Voluntourism is often described as a sustainable development strategy facilitating Global Learning and cross-cultural exchange. Initiated by the German Federal Ministry for Economic Cooperation and Development (BMZ), the voluntourism program Weltwärts strives to create stronger international partnerships, development engagement, and equitable encounters. READ MORE
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24. Multi-Scale Topology Optimization of Lattice Structures Using Machine Learning
University essay from Uppsala universitet/Tillämpad mekanikAbstract : This thesis explores using multi-scale topology optimization (TO) by utilizing inverse homogenization to automate the adjustment of each unit-cell's geometry and placement in a lattice structure within a pressure vessel (the design domain) to achieve desired structural properties. The aim is to find the optimal material distribution within the design domain as well as desired material properties at each discretized element and use machine learning (ML) to map microstructures with corresponding prescribed effective properties. READ MORE
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25. Urban tree canopy mapping -an open source deep learning approach
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Urban trees have an important role to provide ecosystem services and to make our cities greener and more sustainable. The changing climate and densification of cities make it even more valuable to preserve and investigate in urban trees. READ MORE