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Domain Randomization for Visual sim-to-real Object Pose Estimation
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Data collection is a major bottleneck in vision based robot grasping and manipulation applications. The availability of data is not always possible in confidential or high-risk areas providing a constraint for conducting ...
Predicting the Workload of Home Care Personnel Using Time Series Forecasting
(2023)
Diplomityö
Diplomityö
The substantial increase in the number of elderly leads to increased demand for home care and institutional care services. Forecasting the workload of social and health care personnel is difficult, and the allocation of ...
Machine Learning Operations Architecture In Healthcare Big Data Environment : Batch versus online inference
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Developing and operating machine learning systems is associated with uncertainties incomparable to traditional software engineering. Managing and mitigating these uncertainties is critical especially when creating machine ...
Dataset And Deep Neural Network Based Approach To Audio Question Answering
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Audio question answering (AQA) is a multimodal task in which a system analyzes an audio signal and a question in natural language, to produce a desirable answer in natural language. In this thesis, a new dataset for audio ...
Object detection and sim-to-real 6D pose estimation
(2023)
Diplomityö
Diplomityö
Deep Learning has led to significant advances in computer vision, making perception an important component in many fields such as robotics, medicine, agriculture, remote sensing, etc. Object detection has been a major part ...
Monitoring Dangerous Goods on Roads Using Computer Vision
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
The transportation of dangerous goods on roads poses significant risks, as accidents involving hazardous materials can be deadly and devastating, especially in densely populated areas and confined spaces like tunnels. In ...
Fairness in Algorithmic Multi-disciplinary Team Formation
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Fairness in team creation is becoming an increasingly important subject of study in computer science and artificial intelligence. As algorithms increasingly automate decision-making processes, ensuring these systems are ...
Voice Spoofing Countermeasure : Securing Automatic Speaker Verification Against Logical Access Attacks
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Adaptation of Pre-trained Deep Neural Networks for Sound Event Detection Facilitating Smart Homecare
(2023)
Diplomityö
Diplomityö
As foreseen by numerous researchers, the worldwide demographic changes of the elderly population in 2050 will be expected to grow by over 30% in the global population, which has urged to development of cost-efficient and ...
Tablature Notation from Monophonic Guitar Audio Using CNN
(2023)
Pro gradu -tutkielma
Pro gradu -tutkielma
Automatic Music Transcription for instruments with fretboards, such as the guitar, involves transcribing audio into either standard notation or tablature notation. Tablature notation provides a one-to-one mapping between ...