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Visar resultat 1 - 5 av 41 uppsatser som matchar ovanstående sökkriterier.

1. 1. Integrering av digital teknik i förskoleutbildning : En undersökning av pedagogiska metoder och strategier

   Uppsats för yrkesexamina på grundnivå, Malmö universitet/Institutionen för barndom, utbildning och samhälle (BUS)

   Författare :Fozia Said; Gjyljeta Krasniqi; [2023]
   Nyckelord :Preschool; early childhood education; digital competence; pedagogical methods and strategies; Lindström s 2008 theory and model;

   Sammanfattning : The problem area that the study examines is how Lindström's (2008) theory and model can be conceptualized in the integration of digital technology and how it affects children's learning and development as well as preschool teachers' attitude to digital technology. This study is conducted both qualitative (semi-structured interviews) and quantitative (surveys) for empirical work. LÄS MER

3. 2. Simulating metal ct artefacts for ground truth generation in deep learning.

   Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

   Författare :Arthur Barakat; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER

4. 3. Development of a Complete Minuscule Microscope: Embedding Data Pipeline and Machine Learning Segmentation

   Master-uppsats, KTH/Tillämpad fysik

   Författare :Kenan Zec; [2023]
   Nyckelord :Incubation-microscope; Machine Learning Segmentation; ESP32-Cam; Deep Learning; Inkubationsmikroskop; Maskininlärnings-segmentering; ESP32-Cam; Deep Learning;

   Sammanfattning : Cell culture is a fundamental procedure in many laboratories and precedes much research performed under the microscope. Despite the significance of this procedural stage, the monitoring of cells throughout growth is impossible due to the absence of equipment and methodological approaches. LÄS MER

5. 4. Developing a Neural Network Model for Semantic Segmentation

   M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Ronny Westphal; [2023]
   Nyckelord :Semantic segmentation; neural network; Unity Barracuda; PyTorch; augmented reality; Semantisk segmentering; neurala nätverk; Unity Barracuda; PyTorch; augmenterad verklighet;

   Sammanfattning : This study details the development of a neural network model designed for real-time semantic segmentation, specifically to distinguish sky pixels from other elements within an image. The model is incorporated into a feature for an Augmented Reality application in Unity, leveraging Unity Barracuda—a versatile neural network inference library. LÄS MER

7. 5. Unsupervised Clustering of Behavior Data From a Parking Application : A Heuristic and Deep Learning Approach

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

   Författare :Edvard Magnell; Joakim Nordling; [2023]
   Nyckelord :ML; Machine learning; clustering; unsupervised learning; deep learning; autoencoder; AI; artificial intelligence;

   Sammanfattning : This report aims to present a project in the field of unsupervised clustering on human behavior in a parking application. With increasing opportunities to collect and store data, the demands to utilize the data in meaningful ways also increase. LÄS MER