Sökning: "computer based learning"

Visar resultat 1 - 5 av 552 uppsatser innehållade orden computer based learning.

1. 1. Praktiska digitala medium i historieundervisningen : En översikt av forskning om hur digitalt game-based learning kan användas för att förbättra elevernas kunskap om historieämnet

   Uppsats för yrkesexamina på grundnivå, Malmö universitet/Fakulteten för lärande och samhälle (LS)

   Författare :Dennis Gullstrand; Erik Lund; [2024]
   Nyckelord :history; history didactics; history education; didactics; practical; game based learning; game; games; digital; computer; Assassin s Creed; Making History; Crusader Kings; Hearts of Iron; high school; historia; historiedidaktik; historieundervisning; undervisning; didaktik; praktiskt; game based learning; spel; digital; digitala; dator; Assassin s Creed; Making History; Crusader Kings; Hearts of Iron; gymnasie; gymnasiet; högstadium; högstadiet; grundskola;

   Sammanfattning : The traditional history educational methods mainly consists of and are focused on memory, reading, repetition and writing skills, however this paper aims to give an overview of research regarding “Game-based learning”, it’s uses in education of history, and if it can be used as a way to complement the traditional education and give history teachers the tools to make their teaching more diverse. Useful materials were found in the databases: EBSCO, IEEE Xplore och Science Direct. LÄS MER

3. 2. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Xinchen Wang; [2024]
   Nyckelord :Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

   Sammanfattning : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. LÄS MER

4. 3. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Markus Jonsson; [2024]
   Nyckelord :Self-supervised learning; Representation learning; Computer vision;

   Sammanfattning : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. LÄS MER

5. 4. Applying ChatGPT in AI-based dynamic video game narrative generation system

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Arturs Umbraško; Robert Drury; [2023-10-23]
   Nyckelord :Computer; science; engineering; thesis; ChatGPT; OpenAI; games; narrative; machine learning; interaction design;

   Sammanfattning : ChatGPT’s release and general availability has the potential to create new possibilities for storytelling in games. There are potential benefits of leveraging ChatGPT to generate a narrative at runtime in a video game, as well as possible resulting pitfalls. LÄS MER

7. 5. Challenges in Specifying Safety-Critical Systems with AI-Components

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
   Nyckelord :Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

   Sammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER