Property:OneLineSummary
From ISLAB/CAISR
Jump to navigationJump to searchP
Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms +
ML algorithms will be used to analyze meteorological data to predict the electricity generation capacity of solar and wind power plants. This project is a collaboration between Halmstad and Sam Houston University (USA)). +
Predicting the status of Alfa Laval's separator machines with vibration data +
prediction of neurodegenerative disorders based on brain images using deep learning algorithms +
Identify informative regions in 3D brain images to improve classification accuracy of dementia disorders +
Time-series GAN and generation of synthetic electrical health records +
investigate whether supervised models (e.g., U-Net/pix2pix) can reconstruct pri- vate inputs from CiM-generated “power-feature matrices” and how noise/sampling constrain feasibility. +
Time Series Forecasting with Incrementally Evolving Windows +
Each year there are several project opportunities at Electronic Arts +
Each year there are several project opportunities at HMS (a company with motto of "We create products that enable industrial equipment to communicate and share information") +
Each year there are several project opportunities at RISE (Research Institutes of Sweden) +
Each year there are several project opportunities at Saab +
Each year there are several project opportunities at Toyota +
Each year there are several project opportunities at zenseact +
Peritonitis (inflammation of the peritoneum) detection via EMG-signals. +
The project involves the development of software for the TrueDepth technology of the iPhone. +
Few-shot Learning for Quality Inspection +
Use data to create a machine learning model that can predict estimated availability of a specific charger based on day, time and maybe other external factors (holiday, weather) +
Thesis topics at Volvo Car Corporation +
Thesis topics at Volvo Group +
