"machine learning" - Selaus asiasanan mukaan Opinnäytteet - ylempi korkeakoulututkinto (Limited access)
Viitteet 1-20 / 28
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Agricultural field obstacle detection from vehicle path data
(2023)
Diplomityö -
An ensemble ML model design to classify LOS/NLOS propagation channel, Toward positioning accuracy enhancement in 5G-NR InF scenarios
(2023)
DiplomityöLine of sight (LOS) and non-line of sight (NLOS) channel classification has numerous applications in wireless communication engineering. It can be exploited for target identification and tracking in sensing-dependent ... -
Behavioral Modeling of Power Amplifiers with Machine Learning Techniques
(2020)
Diplomityö -
Design and development of statistical and based-on-Machine Learning techniques for top-5 European football leagues
(2023)
Pro gradu -tutkielmaStatistical techniques arose centuries ago with the aim of performing statistical analysis and making decisions based on observation. However, the growth of computational power and the storage of large amounts have turned ... -
Designing an Automated Translation System For Industrial Content Management
(2024)
DiplomityöIn the current era of globalization, conveying information across the world has become an issue faced by many companies. For effective communication, the information needs to be translated into many languages with precision ... -
Elastic Deep Neural Network for Facial Age Estimation
(2021)
Pro gradu -tutkielma -
Estimation of Material Properties Using Machine Learning
(2020)
DiplomityöThe aim of this thesis was to study and compare different machine learning regression methodologies to predict the material properties using Barkhausen noise measurements. Some of the features of Barkhausen noise signal ... -
Estimation of position and orientation with optic sensors in an industrial environment
(2022)
DiplomityöRecent 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 ... -
Human Pose Estimation Using Computer Vision
(2020)
DiplomityöHuman 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 ... -
Integrating machine vision target position measurement system into crane control system
(2020)
DiplomityöThe target of this Master of Science thesis was to integrate new machine vision implemented target position measurement system into existing crane control system. The thesis was done for Kalmar, which is part of Cargotec ... -
Leak-detection in water pipeline with Machine learning: A case study with Oras Intelligent Valve
(2023)
DiplomityöLeakage in pipelines is a rising concern due to its financial impact on water utility companies from the water losses. To this end, researchers proposed a multitude of techniques to detect leaks ranging from model-based, ... -
Machine learning based counting of conjunctival cell types in Grundium microscope scanner
(2022)
Pro gradu -tutkielma -
Measuring Load of Complex Service-oriented Systems
(2021)
DiplomityöComplex software systems produce a large amount of data depicting their internal state and activities. The data can be monitored to make estimations and predictions of the status of the system, helping taking preventative ... -
Neural Networks in Limit Order Execution Time Prediction
(2022)
DiplomityöThis thesis proposes a convolutional long short-term memory neural network model for predicting limit order execution time. The prediction task was defined as a regression problem of how long it takes for a limit order ... -
Packet Discards and User Behaviour Pattern Recognition in Mobile Networks: Unsupervised Temporal Time Series Segmentation and Categorisation of Time Series
(2021)
DiplomityöMobile network technologies continue to evolve rapidly and are enabling technological innovation in many fields of human activities, both in the private and business domain. Mobile network users expect differentiated service ... -
Predictive Maintenance For Straddle Carriers Using Advanced Deep Learning Models: A Comparative Exploration
(2024)
Pro gradu -tutkielmaPredictive analysis for machine maintenance is the key to reducing downtimes and ensuring smooth operations while increasing productivity. Emergency repairs reduce while the lifespan of machinery increases. In this study, ...
