Essays about: "dans"

Showing result 11 - 15 of 112 essays containing the word dans.

1. 11. Improving Image Classification using Domain Adaptation for Autonomous Driving : A Master Thesis in Collaboration with Scania

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

   Author : Mikael Westlund; [2023]
   Keywords : Autonomous driving; Deep Learning; Domain Adaptation; Image classification; LiDAR; Transfer Learning; Självkörande fordon; Djupinlärning; Domain Adaptation; Bildklassificering; LiDAR; Överföringsinlärning;

   Abstract : Autonomous driving is a rapidly changing industry and has recently become a heavily focused research topic for vehicle producing companies and research organizations. These autonomous vehicles are typically equipped with sensors such as Light Detection and Radar (LiDAR) in order to perceive their surroundings. READ MORE

3. 12. Towards Navigational Aids using Augmented Reality for People with Alzheimer’s Disease in Outdoor Environments : A user study using HoloLens 2 around a University campus

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

   Author : Léa Prémont; [2023]
   Keywords : Augmented reality; Alzheimer’s disease; Navigation; Assistive technology; HoloLens 2; Optical See-Through; Localization; Kalman filter; Hologram; TLX; SUS; Réalité augmentée; Alzheimer; Navigation; Technologie d’assistance; HoloLens 2; Optical See-Through; Localisation; Filtre de Kalman; Hologramme; TLX; SUS; Förstärkt verklighet; Alzheimers sjukdom; Navigering; Tekniska hjälpmedel; HoloLens 2; Optisk genomskinlighet; Lokalisering; Kalman-filter; Hologram; TLX; SUS;

   Abstract : This paper investigates the potential of augmented reality (AR) as a navigational aid for individuals with Alzheimer’s disease (AD), offering innovative solutions to the evolving challenges of AD care. As the disease progresses, patients often require more assistance and may transition to care centers, resulting in reduced independence. READ MORE

4. 13. Breaking the loop : A study on how collaborative learning impacts accessibility in dance

   University essay from Stockholms konstnärliga högskola/Institutionen för danspedagogik

   Author : Alva Degerfeldt; Klaudia Rychlik; [2023]
   Keywords : collaboration; collaborative learning; access; accessibility; dance; dance education; samarbete; kollaborativt lärande; tillgång; tillgänglighet; dans; dansutbildning;

   Abstract : This bachelor thesis is a study of how collaborative learning impacts accessibility, with a particular attention given to the relationship between the learning process and accessibility. The aim is to gain insights into how collaborative learning as a pedagogical approach impacts accessibility in a group of mixed ability dancers. READ MORE

5. 14. peripheral dancing : a peripheral essay and a peripheral toolbox

   University essay from Stockholms konstnärliga högskola/Institutionen för dans

   Author : Laura Linna; [2023]
   Keywords : dance; choreography; performance; periphery; pheripheries; centre; centres;

   Abstract : This text is the second part of a Bachelor's degree project, dealing with the artistic research and presentation, peripheral dancing, conducted as the first part of the project. The research started from a question: Can one challenge, rethink and explore the peripheries, centres, and orientations of and through one's dancing? The work is perceived through the context of Stockholm University of The Arts, specifically through the lens of the BA in Dance Performance programme. READ MORE

6. 15. Transformer-Based Multi-scale Technical Reports Analyser for Science Projects Cost Prediction

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

   Author : Thomas Bouquet; [2023]
   Keywords : Natural Language Processing; Transformers; Deep Learning; Cost Prediction; Traitement Automatique du Langage; Transformers; Apprentissage Profond; Prédiction de coûts; Behandling av naturligt språk; Transformers; Djupinlärning; Kostnadsförutsägelser;

   Abstract : Intrinsic value prediction is a Natural Language Processing (NLP) problem consisting in determining a numerical value contained implicitly and non-trivially in a text. In this project, we introduce the SWORDSMAN model (Sentence and Word-level Oracle for Research Documents by Semantic Multi-scale ANalysis), a deep neural network architecture based on transformers whose goal is to predict the cost of research projects from the analysis of their abstract. READ MORE