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Automated machine learning: Evaluating AutoML frameworks
(2021)
Diplomityö
Diplomityö
Continual Learning In Automated Audio Captioning
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Teaching neural network models to classify new tasks and old tasks on new domains is a process, where a common problem is the forgetting of previous tasks and/or domains. This problem is referred to as catastrophic forgetting. ...
Ideating With an Artificial Colleague: Exploring Advertising Creatives’ Attitudes Towards Human-AI Collaboration
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
In many industries, advances in artificial intelligence (AI) are causing fundamental changes in everyday work. As these advances are also increasing the creative capabilities of computational systems, it becomes relevant ...
X-ray micro computed tomography (u-CT) image enhancement with artificial intelligence (AI)
(2022)
Diplomityö
Diplomityö
Micro computed tomography and X-ray imaging as a whole are commonly used imaging techniques in research and medicine. As artificial intelligence has become more and more commonly used over the years it has also proven its ...
Methods for Classifying Excavator Motions in Long-Term Activities
(2022)
Diplomityö
Diplomityö
This thesis describes the research work done for Novatron ltd. during the summer and fall of the year 2021. The purpose of the research was to find and compare methods for automatic motion and activity recognition for ...
Accurate and Fast Degradation Function Estimation for Single Image Super-Resolution
(2021)
Diplomityö
Diplomityö
Single image super-resolution is a long-lasting ill-posed problem which seeks attention from both academia and industry. The up-scaling the low-resolution images by digging out high-frequency details is still yet to be ...
Robotics Motion Control by Using Deep Reinforcement Learning
(2021)
Pro gradu -tutkielma
Pro gradu -tutkielma
Recently, with the development of Artificial Intelligence and Deep Learning in the field of robotics, especially to control robots for specific tasks. The traditional approach uses a large number of models to calculate the ...
Fairness in Variational Autoencoders Recommenders
(2020)
Pro gradu -tutkielma
Pro gradu -tutkielma
Recommender systems have become increasingly relevant since big giants like Amazon, Netflix, and many other web services have started to enhance user’s experience based on recommendations. However, implementing state of ...
Artificial Intelligence in Computer Networks : Role of AI in Network Security
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
Artificial Intelligence (AI) in computer networks has been emerging for the last decade, there are revolutionary inventions that have created automation and digitalization in the fields of the Internet. The layout of ...
Evaluation of swarm path-planning methods for autonomous area patrolling
(2022)
Diplomityö
Diplomityö
Area patrolling with a swarm of autonomous vehicles is a current research task in the defence and military industries. In order to maximize the area patrolled, the swarm members require decentralized path-planning to ensure ...