Sökning: "Global learning"

Visar resultat 1 - 5 av 613 uppsatser innehållade orden Global learning.

  1. 1. Deep reinforcement learning for automated building climate control

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Erik Snällfot; Martin Hörnberg; [2024]
    Nyckelord :Machine Learning; Reinforcement Learning; Deep Learning; Deep Reinforcement Learning; Building Control; Control System;

    Sammanfattning : The building sector is the single largest contributor to greenhouse gas emissions, making it a natural focal point for reducing energy consumption. More efficient use of energy is also becoming increasingly important for property managers as global energy prices are skyrocketing. LÄS MER

  3. 2. Stock Price Predictions for FAANG Companies Using Machine Learning Models

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Hugo Dahlquist; Fredrik Fourong; [2024]
    Nyckelord :Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

    Sammanfattning : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. LÄS MER

  4. 3. 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

  5. 4. Classifying femur fractures using federated learning

    Master-uppsats, Linköpings universitet/Statistik och maskininlärning

    Författare :Hong Zhang; [2024]
    Nyckelord :Atypical femur fracture; Federated Learning; Neural Network; Classification;

    Sammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER

  7. 5. Exploring Urban Land Cover Changes and the Effect on Nocturnal Air Temperature Dynamics in Helsingborg - A temperature modeling made with TAPM

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Amanda Bäck; [2023-10-09]
    Nyckelord :Nocturnal Air Temperature; Intra-Urban Heat Island; Land Cover Classification; Deep learning; The Air Pollution Model TAPM ; Land Cover Change;

    Sammanfattning : In light of increasing global temperatures, urban areas face growing challenges related to heat stress. Alterations in land cover (LC) within cities contribute to changes in the intra-urban climate, predominantly driven by the replacement of vegetated surfaces with impermeable materials. LÄS MER