Sökning: "learning on demand"
Visar resultat 1 - 5 av 457 uppsatser innehållade orden learning on demand.
1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. LÄS MER
2. 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
3. Unlock those closed doors
Master-uppsats, Göteborgs universitet/Institutionen för kulturvårdSammanfattning : The present work aims to investigate the current situation regarding the conservation profession and the communication to the public through outreach initiatives, especially from the point of view of the conservators. In the latest decades outreach and communication have been taking a preponderant role within the profession of conservation, causing changes in the daily tasks of conservators and new demands in terms of skills which professionals need to acquire. LÄS MER
4. Dating of fashion plates (1820-1880) using transfer learning : Recognition of the year of origin of fashion plates
Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)Sammanfattning : Fashion history is an integral subfield of history as a whole. Fashion plates provide important evidence of what fashion once looked like and as such are a valuable window into the lives of the people in ages past. LÄS MER
5. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskapSammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER