Sökning: "learning on demand"

Visar resultat 1 - 5 av 458 uppsatser innehållade orden learning on demand.

  1. 1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Nikolaos Staikos; [2024]
    Nyckelord :Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Sammanfattning : 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

  3. 2. Where to Fuse

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Lukas Petersson; [2024]
    Nyckelord :Technology and Engineering;

    Sammanfattning : 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. 3. Utilizing energy-saving techniques to reduce energy and memory consumption when training machine learning models : Sustainable Machine Learning

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

    Författare :Khalid El Yaacoub; [2024]
    Nyckelord :Sustainable AI; Machine learning; Quantization-Aware Training; Model Distillation; Quantized Distillation; Siamese Neural Networks; Continual Learning; Experience Replay; Data Efficient AI; Energy Consumption; Energy-Savings; Sustainable ML; Computation resources; Hållbar maskin inlärning; Hållbar AI; Maskininlärning; Quantization-Aware Training; Model Distillation; Quantized Distillation; siamesiska neurala nätverk; Continual Learning; Experience Replay; Dataeffektiv AI; Energiförbrukning; Energibesparingar; Beräkningsresurser;

    Sammanfattning : Emerging machine learning (ML) techniques are showing great potential in prediction performance. However, research and development is often conducted in an environment with extensive computational resources and blinded by prediction performance. LÄS MER

  5. 4. Unlock those closed doors

    Master-uppsats, Göteborgs universitet/Institutionen för kulturvård

    Författare :Giulia Gualandri; [2023-10-18]
    Nyckelord :Heritage Conservation; Communication; Public outreach; Public engagement;

    Sammanfattning : 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

  7. 5. 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)

    Författare :Magdalena Dobrzańska; [2023]
    Nyckelord :ai; fashion history;

    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