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Viitteet 1-10 / 18
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 ...
Implementing Automated Testing Strategy for Legal Decision Understanding AI
(2023)
This thesis focuses on the automated testing strategies for the data stream pipeline that utilizes Optical Character Recognition (OCR) and Natural language Processing(NLP) for processing legal decisions. The work presents ...
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 ...
Ulkoistetun palvelun kehittäminen - Case: Talouspalveluiden ulkoistaminen
(2022)
Tämän opinnäytetyön aiheena oli ulkoistetun taloushallinnon kehittäminen. Opinnäyte työssä oli tarkoitus antaa toimeksiantajayritykselle kehitysideoita, joilla ulkoistettua taloushallintoa voitaisiin kehittää. Toimeksiantajayritys ...
Benefits and Challenges of Using ChatGPT in Written Content Creation – Practical Guidelines
(2023)
The purpose of the thesis was twofold. First, it was intended to educate what ChatGPT is, explain its basic functions, and examine, are the benefits of using ChatGPT in written content creation greater than its challenges. ...
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 ...
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 ...
Artificial Intelligence Applications in Finnish Healthcare
(2023)
This study scanned and analyzed the usage of artificial intelligence in the field of Finnish healthcare. The purpose of this study was to map out the different artificial intelligence applications and systems, that are ...
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 ...
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 ...








