Sökning: "predictive models"

Visar resultat 6 - 10 av 609 uppsatser innehållade orden predictive models.

1. 6. Time Series Forecasting on Database Storage

   Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Författare :Pranav Patel; [2024]
   Nyckelord :Machine Learning; Time Series Forecasting; Prediction; Neural Networks; CNN; RNN; Database Storage;

   Sammanfattning : Time Series Forecasting has become vital in various industries ranging from weather forecasting to business forecasting. There is a need to research database storage solutions for companies in order to optimize resource allocation, enhance decision making process and enable predictive data storage maintenance. LÄS MER

3. 7. Predicting Counter-Strike Matches using Machine Learning Models

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Erik Broms; William Nordansjö; [2024]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER

4. 8. Incremental Re-tokenization in BPE-trained SentencePiece Models

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Simon Hellsten; [2024]
   Nyckelord :BPE; Byte Pair Encoding; SentencePiece; NLP; Natural Language Processing; Tokenization; Re-tokenization;

   Sammanfattning : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. LÄS MER

5. 9. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Erica Ingerstad; Liv Kåreborn; [2024]
   Nyckelord :NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

   Sammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER

7. 10. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

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

   Författare :Vivian Wang; Lidia Yalew; [2023-10-19]
   Nyckelord :Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

   Sammanfattning : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. LÄS MER