Sökning: "random field"

Visar resultat 1 - 5 av 279 uppsatser innehållade orden random field.

  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

  2. 2. Land cover classification using machine-learning techniques applied to fused multi-modal satellite imagery and time series data

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

    Författare :Anastasia Sarelli; [2024]
    Nyckelord :Geography; GIS; Land Cover Classification; Landsat; Machine Learning; Earth and Environmental Sciences;

    Sammanfattning : Land cover classification is one of the most studied topics in the field of remote sensing, involving the use of data from satellite sensors to analyze and categorize different land surface types. There are numerous satellite products available, each offering different spatial, spectral, and temporal resolutions. LÄS MER

  3. 3. Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Marcus Stolz; Jonathan Christopher; [2024]
    Nyckelord :Monte Carlo integration; Quasi monte carlo integration; Random number generation; Mathematics and Statistics;

    Sammanfattning : This thesis examines the effects of pseudo and quasi-random number generators on the accuracy and efficiency of Monte Carlo Integration in the case of the multivariate normal distribution. The study compares the performance of the Mersenne Twister (a pseudo-random number generator) with Sobol and Halton sequences (quasi-random number generators). LÄS MER

  4. 4. Torkstress hos urbana träd i Göteborg: Effekter av låg vattentillgång under torkan 2018

    Kandidat-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskap; Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Författare :Andrea Sartorius; [2023-10-27]
    Nyckelord :;

    Sammanfattning : During late spring and most of the summer in the year of 2018 the weather in Sweden was more extreme than normal, with high temperatures and few rainfalls. This resulted in a drought, of which the effects were noticed all over the country. One of the noticeable effects was an earlier leaf abscission from trees. LÄS MER

  5. 5. Utilizing Transformers with Domain-Specific Pretraining and Active Learning to Enable Mining of Product Labels

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Erik Norén; [2023]
    Nyckelord :Machine Learning; Natural Language Processing; NLP; BERT; Active Learning; AL; Pharmacovigilance; UMC; Uppsala Monitoring Centre; Structured Product Label; SPL; Transformers; Domain-Specific Pretraining; NER; Named Entity Recognition; Adverse Drug Reaction; ADR;

    Sammanfattning : Structured Product Labels (SPLs), the package inserts that accompany drugs governed by the Food and Drugs Administration (FDA), hold information about Adverse Drug Reactions (ADRs) that exists associated with drugs post-market. This information is valuable for actors working in the field of pharmacovigilance aiming to improve the safety of drugs. LÄS MER