Theseus - Selaus asiasanan mukaan "neural networks (information technology)"
Viitteet 21-40 / 78
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Data-driven knife sharpness meter for peeling lines
(2023)The research focuses on analysing data from a peeling line to understand correlations leading to knife change events. The study starts from identifying knife change events based on downtimes and labelling data by associated ...Rajoitettu käyttöoikeus / Restricted access / Tillgången begränsad -
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
(2022)This thesis builds upon work carried out by the author of this thesis recently on deep learning to build a computer vision deep learning pipeline using Generative Adversarial Networks (GANs). For much of the work, agile ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
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 ... -
Deep Reinforcement Learning Implementation for Vessel Stability Calculations
(2024)This paper focused on combining ships stability calculations with deep reinforcement learning methods. For the sake of this thesis the author developed a proof of concept software that not only enables users to solve tasks ... -
Design and development of a beverage container returns system
(2022)In just a single minute, over a million plastic bottles are sold and purchased by consumers all over the world (1). The huge downside to this is that the vast majority of these will end up either polluting an ocean or in ... -
Detect COVID-19 from Chest X-Ray images using Deep Learning
(2020)The COVID-19 pandemic has been causing devastating impacts on the well-being of people around the world as well as the global economy. Motivated by the effort of the open source community on collecting the COVID-19 dataset ... -
Detecting Arm Movements from EEG-signal with Machine Learning
(2023)The integration of brain-computer interface (BCI) in human-computer interaction has started in a new time full of innovation and possibilities. BCI has overcome the limitations of traditional input devices and has provided ... -
Detection of Anomalies in Electric Vehicle Charging Sessions Data
(2024)Anomalies, or outliers, in data are deviations from expected patterns and can result from errors, rare events, system glitches, or fraudulent activities. Understanding anomalies is crucial across industries, as they can ... -
Developing a Video Summarizing Tool using Machine Learning
(2022)In recent years, video has become a highly significant form of visual data, and the explosion of short video platforms like TikTok, Instagram, and Facebook has led people to prefer to consume short content than watching a ... -
Developing an efficient attack detection model for an industrial control system using CNN-based approaches : attack detection using PS-CNN
(2023)Industrial Control Systems (ICS) critical infrastructures, including thermal plants, water treatment plants, nuclear plants, oil refineries, and gas pipelines, rely on uninterrupted operations. With the transformation of ... -
Dog/cat image recognition with React, Flask, and TensorFlow
(2022)Data plays an essential role in modern life. The real world produces billions of bytes of data per day, and the 90 percentage of data in 2019 is double the amount of data last two years (Statista Research Department. 2022). ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Energy Consumption Prediction Using Recurrent Neural Network (LSTM) : Multivariate Time Series forecasting
(2023)Energy consumption prediction plays a crucial role in optimizing resource allocation and ensuring efficient energy management. This thesis delves into the realm of multivariate time series forecasting, with a specific focus ... -
Enhancing Tetris Gameplay with Deep Reinforcement Learning
(2024)This work's principal purpose was to create an artificial intelligence solution for the well-known Tetris game, which was totally constructed in C++ since there aren't many online resources in this subject. Furthermore, ... -
Exploring Machine Learning Models for Detection of Human Eye Blink : brain-computer-interface and machine learning
(2023)Brain-computer interface (BCI) technology offers promise for enriching human-computer interactions across diverse domains. This thesis focuses on blink detection within BCI systems and their potential applications. The ... -
Exploring Medical Image Data Augmentation and Synthesis using conditional Generative Adversarial Networks
(2022)Obtaining healthcare data such as magnetic resonance imaging data for medical diagnosis is expensive and time-consuming. In this thesis, a method using generative adversarial networks is explored for synthesizing data of ... -
Exploring the Artistic Potential of Neural Style Transfer
(2024)This thesis explores the creative potential of Neural Style Transfer (NST), an advanced deep-learning method for producing new visuals. Combining material from one image with the creative approach of another well-known ... -
Face mask detection in real time using python
(2022)The aim of the thesis was to develop a Face Mask Detection system. For face mask identification, the thesis examines the use of Python programming with Deep Learning, TensorFlow, Keras, and OpenCV. The classifier uses the ... -
Face mask wearing detection with neural network
(2021)Insinöörityön tavoitteena oli kehittää kasvomaskien käytön havainnointiin tarkoitettu ohjelma, jota voitaisiin käyttää COVID-19-pandemian etenemisen monitorointiin. Muita käyttötarkoituksia voisi olla kulunvalvonta esimerkiksi ... -
Finetuning and Improving Prediction Results of LLMs Using Synthetic Data
(2024)The Metropolia University of Applied Sciences initiated a project intended to enhance its Moodle platform with an AI-powered plugin, designed to improve the educational process for educators. Central to this initiative is ...















