Haku
Viitteet 1-7 / 7
Neural Network Eye Tracking:Determining Nine-Grid Regions & Application
(2023)
and adaptive to different environments, as well as providing better compatibility during calibration and setup. This thesis will demonstrate the use of cameras combined with neural networks for eye-tracking analysis and application scenarios, and hypothesize...
Pneumonia Classification Model by Convolutional Neural Network
(2022)
The purpose of this thesis is to train a model to recognize and classify X-ray images of pneumonia patients from those of normal people by approaches of convolutional neural networks in computer vision. This thesis introduces the types of machine...
Laser-induced breakdown spectroscopy spectra analysis with deep learning
(2022)
As the prices of equipment suitable for laser-induced breakdown spectroscopy (LIBS) have come down, more research and applications are being implemented with LIBS. One of the improvements that could be made in LIBS is the ...
Deciphering Ancient Chinese Scripts with Convolutional Neural Networks : A Study on Calligraphic Styles in Classical Chinese Texts
(2023)
The primary objective of this study was to employ deep learning algorithms, specifically convolutional neural networks (CNN), to identify and classify calligraph styles in classical Chinese texts. Samples representing four ...
Deep Learning-based Table Detection in Documents
(2023)
. In accordance with the results, the thesis hypothesis was accepted....
Integrating Open Source Technologies: Robot control with LinuxCNC, AI, and EtherCAT Integration
(2023)
This thesis is dedicated to exploring novel approaches in utilizing the Festo iCIM 3000 robot within the LinuxCNC framework and incorporating Artificial Intelligence. The aim was to establish a basic framework for a Robotic Control System using open...
Deep Learning EEG-based Motor Imagery System for Robot Control using 3D Printed Headset and Electrodes
(2023)
This thesis describes the design and implementation of an EEG-based motor imagery system for robot control using a 3D printed headset and electrodes. The primary aim was to create a more comfortable and user-friendly EEG headset that, in combination...





