Sökning: "strengths model"
Visar resultat 1 - 5 av 329 uppsatser innehållade orden strengths model.
1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes
Master-uppsats, Institutionen för tillämpad informationsteknologiSammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER
2. Simulating Mobility of Large Population using Mobile Application Data
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Understanding people’s travel patterns and knowing the frequency of their travel activities provide important insights for effective transport management and infrastructure planning. While traditional travel surveys have historically contributed to this valuable information, they come with shortcomings such as being expensive to collect, easily outdated, and having short time coverage. LÄS MER
3. Where to Fuse
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : This thesis investigates fusion techniques in multimodal transformer models, focusing on enhancing the capabilities of large language models in understanding not just text, but also other modalities like images, audio, and sensor data. The study compares late fusion (concatenating modality tokens after separate encoding) and early fusion (concatenating before encoding) techniques, examining their respective advantages and disadvantages. LÄS MER
4. Expectations and reality of sustainable stormwater management : A review of implementation of Nature-Based Solutions - A case study of Southern Stockholm
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : The shrinking of permeable areas in favour of urban development is a phenomenon described in both scientific literature and policy documents. Changes in rainfall intensity and frequency following climate change are expected, but predicting the exact magnitude of these changes remains unclear. LÄS MER
5. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER