Essays about: "Thesis in Computer science"

Showing result 26 - 30 of 340 essays containing the words Thesis in Computer science.

1. 26. Swedish Stock and Index Price Prediction Using Machine Learning

   University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikation

   Author : Henrik Wik; [2023]
   Keywords : Stock Price Prediction; Machine Learning; Time Series Analysis; Linear Regression; K-Nearest Neighbors; Random Forest; Support Vector Machines; Neural Networks;

   Abstract : Machine learning is an area of computer science that only grows as time goes on, and there are applications in areas such as finance, biology, and computer vision. Some common applications are stock price prediction, data analysis of DNA expressions, and optical character recognition. READ MORE

3. 27. Comparison of graph databases and relational databases performance

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Einar Asplund; Johan Sandell; [2023]
   Keywords : Data Science; Graph database; Relational database; Performance; Benchmark; ANOVA; Computer and System Sciences;

   Abstract : There has been a change of paradigm in which way information is being produced, processed, and consumed as a result of social media. While planning to store the data, it is important to choose a suitable database for the type of data, as unsuitable storage and analysis can have a noticeable impact on the system’s energy consumption. READ MORE

4. 28. Padel court detection system

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

   Author : David Wennerblom; Andrey Arronet; [2023]
   Keywords : Court detection; Computer vision; Image processing; Padel; Hough lines; Canny edge detector; Homography; OpenCV;

   Abstract : The aim of this thesis is to examine the possibility of a court detection program for sports videos that can identify the court even when some important elements are not visible. The study will also analyze what external factors may impact the program's accuracy in detecting all relevant elements. READ MORE

5. 29. Motor Imagery Signal Classification using Adversarial Learning - A Systematic Literature Review

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Osama Mahmudi; Shubhra Mishra; [2023]
   Keywords : Adversarial Learning; Motor Imagery; BCI; EEG; Machine Learning;

   Abstract : Context: Motor Imagery (MI) signal classification is a crucial task for developing Brain-Computer Interfaces (BCIs) that allow people to control devices using their thoughts. However, traditional machine learning approaches often suffer from limited performance due to inter-subject variability and limited data availability. READ MORE

6. 30. Messing With The Gap: On The Modality Gap Phenomenon In Multimodal Contrastive Representation Learning

   University essay from Uppsala universitet/Industriell teknik

   Author : Mohammad Al-Jaff; [2023]
   Keywords : Multimodal machine learning; Representation learning; Self-supervised learning; contrastive learning; computer vision; computational biology; bioinformatics;

   Abstract : In machine learning, a sub-field of computer science, a two-tower architecture model is a specialised type of neural network model that encodes paired data from different modalities (like text and images, sound and video, or proteomics and gene expression profiles) into a shared latent representation space. However, when training these models using a specific contrastive loss function, known as the multimodalinfoNCE loss, seems to often lead to a unique geometric phenomenon known as the modality gap. READ MORE