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Methods of Artificial Intelligence Creativity
(2021)
The objective of this thesis was to study the concept and methods of artificial intelligence creativity. The methodology consisted of several steps. Firstly, the basic structure of artificial neural networks was examined ...
Evolution of Yolo algorithm and Yolov5: The State-of-the-Art object detention algorithm
(2021)
Object detection is one of the primary tasks in computer vision which consists of determining the location on the image where certain objects are present, as well as classifying those objects. In 2015, the YOLO (You Only ...
Using machine learning to find optimal beam groups
(2023)
The object of the thesis was to use machine learning to find optimal radio beams that work together without interfering each other. Stochastic hill climbing and genetic algorithm were used to find optimal beam groups from ...
Artificial Neural Networks and Deep Learning: Possibilities and Limits of its Use in Modern Software Development
(2022)
This thesis is written in scientific article form. It addresses artificial intelligence, artificial neural networks and deep learning. Thesis introduces artificial intelligence, what it is, its history and different levels ...
Comparing Path-Finding Algorithms and Machine Learning Model
(2024)
This thesis focused on comparing A-star algorithm and some of its variants against Q-learning and Proximal Policy Optimization algorithms in terms of path finding and in game development perspective. Both Q-learning and ...
Comparative Analysis of Clustering Techniques for Stock Selection in Finnish Stock Markets Using Common Financial Metrics
(2024)
This thesis aimed to study the efficacy of unsupervised machine learning techniques, specifically clustering algorithms, in the context of stock selection. The goal was to find out are the clustering methods suitable for ...
Machine Learning Methods in Image Recognition
(2024)
In recent years, computer vision technology has played an important role in the field of wildlife monitoring. Machine learning technique can help to detect animals in the images collected in the field, so as to better ...






