Theseus - Selaus asiasanan mukaan "machine learning"
Viitteet 121-140 / 450
-
Cyberattacks on critical infrastructure and corresponding countermeasures
(2023)These days cyberattacks pose a growing risk to cyber-physical systems (CPSs) that act as a part of critical infrastructure (CI) that are vital to a nation’s economy and security. These attacks can disrupt vital devices and ... -
Cybersecurity in OT Environments : A Modular Approach for Network Integrity
(2023)The rapid evolution of cyber threats in network environments necessitates advanced and adaptable security strategies. This thesis presents the design and implementation of a comprehensive system, designed for Rejlers ...Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad -
Data analytics applied in customer relationship management in field of segmentation, retention in start-ups
(2021)The research aims to figure out the ways data analytics applied in customer relationship management; especially in the field of segmentation and retention in start-ups. Furthermore, the research also focuses on the benefits ... -
Data mining and Data Analysis using KNIME: Job satisfaction of Foreigners in Finland.
(2021)The topic of job satisfaction is becoming a major concern for companies in recent years. The well-being of employee’s not only physically but mentally as well is crucial for a company’s better performance and public ... -
Data-Driven Innovation: The Potential of Synthetic Data through Generative AI
(2024)Data scarcity constitutes a protracted challenge to AI decision-making across data-driven industries. Research has shown that demand for larger training datasets is growing, but the current method for data collection has ... -
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 -
Data-Driven Modelling of Gas Turbine Engines
(2021)This study investigates and compares linear and nonlinear data-driven models of a gas turbine engine. These linear models consist of Ridge, Lasso, and Multi-Task Elastic-Net models, which are set up based on linear ... -
Data-Driven Predictive Maintenance Strategies for Light Rail Vehicles : Applying Machine Learning and IoT Technologies to Enhance Operational Efficiency and Reliability
(2024)The evolution of electric transportation as a pivotal solution to climate change has seen significant growth in the past decades. The shift towards battery-powered public transit systems, notably the investment in electric ... -
Dataset for artificial intelligence
(2020)Artificial intelligence programs need to be fed with a set of data which allows them to learn patterns in order to solve the required task. These sets must be collected and prepared to be useful for training. For this ... -
Dataset Imbalance treatment with re-samplers pipeline
(2022)Imbalance in dataset is an age long thing and it is receiving lots of attention because of how it impacts the outcome of models. Imbalance in the sample simply means a class of sample is over-represented while the other ... -
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 approach in food detection : An application for nutrition tracking
(2021)Tracking food intake can give insights into eating habits, hence it is useful to confront the rising public health threat of obesity and overweight. Because of high pace of modern life, people usually do not have time for ... -
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 for Toxic Comment Detection in Online Platforms
(2023)This research aimed to explore the use of Deep Learning Artificial Neural Networks (ANNs) for toxic comment classification on social media and online forums. The prevalence of toxic interactions on these platforms has ... -
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 ... -
Demystifying Deepfakes: An In-Depth Analysis of Technical Possibilities and Societal Implications
(2024)This research-based thesis investigates the up-and-coming phenomenon of “deepfakes”, a term used to describe fake videos made using deep learning algorithms and face-swapping techniques. Several academic papers and books ... -
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 Anomalies in TLS Traffic Using Encrypted Traffic Analysis
(2021)Subject of research was assigned by Cinia Oy. Cinia is a Finish company providing network, software and cyber security services and solutions. Subject was delineated to detection of anomalies in Transport Layer Security ...
















