Essays about: "mutual learning"

Showing result 1 - 5 of 100 essays containing the words mutual learning.

  1. 1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    University essay from

    Author : Venkata Vamsi Challa; [2024]
    Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE

  3. 2. Digital skills challenges and opportunities for digitally under-resourced primary schools in Zambia: an exploratory study.

    University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärande

    Author : James Vwavwa Sikalima; [2023-03-21]
    Keywords : Digital Skills; Digital Devices;

    Abstract : Purpose: The purpose of the research was to propose a design of a digital learning platform that creates opportunities for digital learning in digitally underresourced primary schools in Zambia. Theory: Activity theory anchored on five principles of activity systems, inclusivity, historicity, use of contradictions, and mutual changes encompassed the theoretical framework for this thesis. READ MORE

  4. 3. Understanding the Robustnessof Self Supervised Representations

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Johan Rodahl Holmgren; [2023]
    Keywords : Self-Supervision; AI; Robustness; Computer-Vision;

    Abstract : This work investigates the robustness of learned representations of self-supervised learn-ing approaches, focusing on distribution shifts in computer vision. Joint embedding architecture and method-based self-supervised learning approaches have shown advancesin learning representations in a label-free manner and efficient knowledge transfer towardreducing human annotation needs. READ MORE

  5. 4. Multi-Agent Deep Reinforcement Learning in Warehouse Environments

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : John Cao; Mikael Hammarling; [2023]
    Keywords : ;

    Abstract : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. READ MORE

  6. 5. A narration of landscape identity with focus on people’s activities in Uppsala : case study: Luthagen, Uppsala

    University essay from SLU/Dept. of Urban and Rural Development

    Author : Hadis D. Heirati; [2023]
    Keywords : landscape identity; Uppsala; urban environments; machine learning; conceptual framework; landscape architecture; landscape elements; landscape attachment; Identity Weight Matrix;

    Abstract : Understanding landscape identity. Through understanding the landscape identities and how residents identify their landscape, future plans can be considerably sustainable by preserving and promoting the characteristics of identity of the landscape and conducting the planned changes towards sustaining those values, meanings, and identities that are important for an integrated society. READ MORE