Sökning: "ML"

Visar resultat 11 - 15 av 1218 uppsatser innehållade ordet ML.

  1. 11. Risk analysis of implementing Machine Learning in construction projects

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Aki Roy; [2024]
    Nyckelord :Construction; Machine Learning; Unstructured Data; Image Processing; Text Processing; Project Analysis; Data Management; Risk Identification;

    Sammanfattning : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. LÄS MER

  3. 12. Designprocessen och maskininlärning: Framtiden för användarcentrerad design

    Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Lisa Marie Karin Gärdhammar; [2024]
    Nyckelord :Artificial Intelligence; Machine Learning; Design process; Journey Mapping; Empathy; User experience; Customer experience; Artificiell intelligens; Maskininlärning; Designprocessen; Journey Mapping; Empati; Användarupplevelse; Kundupplevelse;

    Sammanfattning : Artificiell intelligens (AI) och i synnerhet maskininlärning (ML) har inom UX-design visat potential att förbättra designprocessen genom att exempelvis identifiera användargrupper från stora datamängder, effektivisera idégenerering och automatisera repetitiva uppgifter. Det råder dock oenighet kring hur tekniken kan integreras i designprocessen. LÄS MER

  4. 13. LP_MQTT - A Low-Power IoT Messaging Protocol Based on MQTT Standard

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Anchu Antony; Deepthi Myladi Kelambath; [2024]
    Nyckelord :;

    Sammanfattning : In the Internet of Things (IoT) era, the MQTT Protocol played a bigpart in increasing the flow of uninterrupted communication betweenconnected devices. With its functioning being on the publish/subscribe messaging system and having a central broker framework, MQTTconsidering its lightweight functionality, played a very vital role inIoT connectivity. LÄS MER

  5. 14. 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

  7. 15. Machine learning for molecular property prediction and drug safety

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

    Författare :Kinga Jenei; [2023-10-23]
    Nyckelord :Molecular property prediction; Acid dissociation constant; pKa; Machine learning; Graph Neural Networks; Molecular descriptors; Drug Discovery;

    Sammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER