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Deep learning approaches for maritime ship detection from inshore and offshore imagery
(2022)
Maritime surveillance and situational awareness are of topical interest but require massive amounts of human labour if done manually in a traditional setting. The human factor can make this process also highly expensive ...
Algorithm Analysis in OpenDSA : An Online, Open Source, Interactive Platform for Data Structures
(Åbo Akademi, 2016)
New methods and opportunities for learning have appeared through the arrival of electronic learning frameworks. Over the past few years, several eLearning environments have been created by experts in the field to make ...
A formal toolchain for model-based testing of PLC systems
(2021)
Programmable logic controllers (PLCs) are programmable controller devices broadly used for industrial automation in industrial control systems. The correct functioning of such systems using PLCs is of utmost importance ...
Explainable AI for Multi-agent Control Problem
(2023)
This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and ...
Creation of an Operational Desing Document for the Autonomous Shipping Industry
(2023)
The advancement of Artificial Intelligence technologies has paved the way for the increasing use of autonomous systems in various fields, including air, land, and sea. Maritime is an important domain for applying autonomous ...
Human Movement Recognition using Deep Learning on Visualized CSI Wi-Fi data
(2023)
Wireless signal transmission is an intricate process, significantly influenced by the environment within which it operates. Notably, the mobility of various elements within this environment, such as the parts of a human ...
Evaluating Performance of Generative Models for Time Series Synthesis
(2023)
Motivated by successes in the image generation domain, this thesis presents a novel Hybrid VQ-VAE (H-VQ-VAE) approach for generating realistic synthetic time series data with categorical features. The primary motivation ...
A Comparative Analysis of NLP Algorithms for Implementing AI Conversational Assistants
(2023)
The rapid adoption of low-code/no-code software systems has reshaped the landscape of software development, but it also brings challenges in usability and accessibility, particularly for those unfamiliar with the specific ...