Essays about: "Learning Environments"

Showing result 1 - 5 of 386 essays containing the words Learning Environments.

  1. 1. Real-time Human Detection using Convolutional Neural Networks with FMCW RADAR RGB data

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Anna Phan; Rogelio Medina; [2022]
    Keywords : Human Detection; Machine Learning; Convolutional Neural Networks; YOLO; FMCW Radar; Human Detection Evaluation; Människodetektering; Maskininlärning; Neurala faltningsnät; Djupa faltningsnät; YOLO; FMCW Radar; Utvärdering;

    Abstract : Machine learning has been employed in the automotive industry together with cameras to detect objects in surround sensing technology. You Only Look Once is a state-of-the-art object detection algorithm especially suitable for real-time applications due to its speed and relatively high accuracy compared to competing methods. READ MORE

  2. 2. Outdoor environments for physiotherapeutic rehabilitation of work-related stress : lying down in shelter, sitting in serenity, standing in nature and walking in coherence

    University essay from SLU/Department of People and Society

    Author : Peter Lundkvist; [2022]
    Keywords : physiotherapy; exercises; environmental; qualities; stress- related; illness; restoration;

    Abstract : Learning more about rehabilitating work-related stress is important since stress-related illness is creating a lot of human suffering and a significant economic loss in most countries. Physiotherapists are one of the most common professions in work-oriented rehabilitation in Sweden and previous research has shown positive results of using outdoor environments when rehabilitating work-related stress. READ MORE

  3. 3. This is "Tricky"! : A Micro-ethnographic Study of Participation and Inclusion of Integrated Students with Intellectual Development Disorder in Swedish Compulsory Schools

    University essay from Luleå tekniska universitet/Pedagogik, språk och ämnesdidaktik

    Author : Pernilla Lindberg; Brittany Westerblom; [2022]
    Keywords : ethnography; inclusion; integration; intellectual development disorder; own experience; participation; participation model; student’s voice; delaktighet; delaktighetsmodellen; egen erfarenhet; elevens röst; etnografi; inkludering; integrering; intellektuell funktionsnedsättning;

    Abstract : The aim of this study is to provide increased knowledge about the experiences of some Swedish students with intellectual development disorder who are enrolled in compulsory school for pupils with learning disabilities and study according to that curriculum but attend school as integrated students. The study examines how these students understand opportunities and experiences of participation and inclusion in their learning environment and social existence based on self-perceived experiences. READ MORE

  4. 4. Expressibility of multiscale physics in deep networks

    University essay from Umeå universitet/Institutionen för fysik

    Author : Hannes Marklund; [2022]
    Keywords : ;

    Abstract : Motivated by the successes in the field of deep learning, the scientific community has been increasingly interested in neural networks that are able to reason about physics. As neural networks are universal approximators, they could in theory learn representations that are more efficient than traditional methods whenever improvements are theoretically possible. READ MORE

  5. 5. Explainable Machine Learning for Lead Time Prediction : A Case Study on Explainability Methods and Benefits in the Pharmaceutical Industry

    University essay from KTH/Hållbar produktionsutveckling (ML)

    Author : Paul Fussenegger; Niklas Lange; [2022]
    Keywords : Lead time; machine learning; explainability; regression analysis; production planning and control; Ledtid; maskininlärning; förklarbarhet; regressionsanalys; produktionsplanering och produktionsstyrning;

    Abstract : Artificial Intelligence (AI) has proven to be highly suitable for a wide range of problems in manufacturing environments, including the prediction of lead times. Most of these solutions are based on ”black-box” algorithms, which hinder practitioners to understand the prediction process. READ MORE