"deep learning" - Selaus asiasanan mukaan Satakunnan ammattikorkeakoulu
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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 ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
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 ... -
Deep Learning-based Table Detection in Documents
(2023)Extracting content from tables in documents was identified as problematic, especially in the cases of tables without clear borders. The proposed solution was to apply document layout analysis, particularly using the ... -
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 ... -
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 ... -
Neural Network Eye Tracking:Determining Nine-Grid Regions & Application
(2023)As technology advances, the development of mobile platforms has nearly reached saturation. AR/MR (Augmented or Mixed Reality) eyewear is anticipated to be the new type of product leading technological advancements in the ... -
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 ... -
Pretrained Neural Networks in HSC Chemistry Sim
(2024)Many researchers are familiar with the Python programming language and can create machine learning models using popular third-party tools such as TensorFlow and PyTorch. Unfortunately, the use of these models in HSC Sim ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad
