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Event Classification from Video Sequence Data
(2019)
Diplomityö
Diplomityö
The process of identifying a specific event from a video is a relatively easy task for humans. However, it is challenging for a machine to perform the same task. Deep neural networks, trained on huge datasets with adequate ...
Neural networks in household investor behavior prediction
(2020)
Kandidaatintyö
Kandidaatintyö
Machine learning (ML) has been widely applied to various fields and areas, including the financial market. In this study, the behavior of active Finnish household investors is being predicted using three different neural ...
Predicting the Building Envelope in BIM Models Using Graph Convolutional Neural Networks
(2022)
Pro gradu -tutkielma
Pro gradu -tutkielma
In recent years, Building Information Modeling (BIM) has become one of the leading techniques to maintain data from the lifespan of the building in the Architecture, Engineering and Construction industry. Compared to the ...
Behavioral Modeling of Power Amplifiers with Machine Learning Techniques
(2020)
Diplomityö
Diplomityö
Estimation of position and orientation with optic sensors in an industrial environment
(2022)
Diplomityö
Diplomityö
Recent advancements with neural networks have made the six degrees of freedom pose es timation of objects with optic sensors more accurate and reliable. Accurate pose estimation is a critical factor in automating processes ...
Sequence Temporal Sub-Sampling for Automated Audio Captioning
(2020)
Kandidaatintyö
Kandidaatintyö
Audio captioning is a novel task in machine learning which involves the generation of textual description for an audio signal. For example, a method for audio captioning must be able to generate descriptions like “two ...
Shot Detection from Discrete Location Data in Ice Hockey using Machine Learning
(2020)
Diplomityö
Diplomityö
This thesis focused on comparing machine learning models for ice hockey shot detection using discrete time indoor location data of a puck. The three methods were an engineered model, a fully-connected neural network, and ...
Convolutional Neural Network Based Automatic Bird Identification and Monitoring System for Offshore Wind Farms
(Tampere University, 2020)
Artikkeliväitöskirja
Artikkeliväitöskirja
Collisions between birds and wind turbines can be a significant problem in wind farms. Practical deterrent methods are required to prevent these collisions. However, it is improbable that a single deterrent method would ...
Automatic Waste Sorting In Industrial Environments Via Machine Learning Approaches
(2020)
Diplomityö
Diplomityö
Speed, safety and efficiency are the key to any industrial progress. We as human beings, get astounded by the industrial achievements and the products manufactured, but we tend to forget about the residue and waste it ...
Human Pose Estimation Using Computer Vision
(2020)
Diplomityö
Diplomityö
Human pose estimation (HPE) is a classical task in the field of computer vision. Applications developed based HPE can bring us entertainment and convenience in our daily lives. For example, the popular software for teaching ...