Background. Between 20% and 35% of registered youth players disengage from amateur football clubs within any given season, most without formally withdrawing. Volunteer coaches, who average four to six hours per week on coaching activity, identify individual player feedback as the task they most frequently …

CO₂ emissions from electricity generation in the Netherlands fluctuate on an hourly basis, depending on which power plants are active in the energy mix. Accurate next-day forecasts of these emissions would enable companies to align energy consumption with low emission periods, but reliable forecasting …

This research explored the use of deep learning to classify impact events on wind turbine blades using spectrogram images. Audio data were recorded through indoor and outdoor simulations using smartphones. The data preparation process involved converting stereo recordings to mono, applying downcasting …

Continuous brain function monitoring in a pediatric intensive care unit is often done using electroencephalography (EEG) for the detection of epileptic seizures in comatose patients. Monitoring an EEG is a time-intensive task for medical professionals, especially when the seizures manifest in a subtle …

Anomalies in Heating, Ventilation, and Air Conditioning (HVAC) systems of buildings can lead to performance degradation, energy inefficiencies, and occupant discomfort. Automated anomaly detection is essential to prevent these issues. Machine learning based anomaly detection techniques are effective …

Over time memories are believed to undergo a time-dependent reorganization in the brain through a process known as systems consolidation during which they become less dependent on the hippocampus and more dependent on the neocortical structures. This reorganization is accompanied by a generalization …

The recent advancements in machine learning (ML) techniques have significantly improved the performance in various natural language processing (NLP) tasks, particularly in deep learning with the transformer architecture. Despite their promising applications in different domains, these innovations have …

In Ghana, starting a business has problems such as capital availability and accessibility, a lack of planning, trained labour and suitable managerial abilities, a legal framework and social norms, beliefs, and values. These challenges affect both men and women, but women are in the most disadvantaged …

Machine Learning techonology is used to recognize piano note based on audio. Thesis descibes progress on research of ML techonlogyitself and the way how model can be develoepd and trained. Specificaly one architecture is described, that is CNN. Note recongition is based model trained on Nsynth3 database. …

The Nedap Healthcare business unit is developing a mobile wound recognition solution named Vesalius using Kotlin, Python and tools / libraries such as Anaconda and TensorFlow Lite in order to utilize machine learning to determine the boundary of a wound as bitmap based on its picture.This solution is …