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 …

More people voted in 2024 than any other year in human history, while often relying on the internet for political information. This combination resulted in critical challenges for democracy. To address these concerns, we designed an exhibition that applied interactive experiences to help visitors understand …

Brain disorders, such as Alzheimer’s disease and epilepsy have been linked to an imbalance in excitatory and inhibitory (E/I) inputs in the brain. However, the molecular mechanisms underlying E/I balance and plasticity in the brain are largely unresolved. Inhibitory synapses have a strong impact on brain …

In this abstract we describe a computational approach for detecting discursive patterns in social media. Newsrooms of municipalities and public organizations such as the police follow public debate on social media to be aware of and prepare for local and global issues and rumors. The onset of these issues …

Knowledge of the time of deposition is pivotal in forensic investigations. Recent studies show that changes in intrinsic fluorescence over time can be used to estimate the age of body fluids. These changes have been attributed to oxidative modifications caused by protein–lipid interactions. This pilot …

This research involved revisiting an archaeological site in Siegerswoude, Friesland, the Netherlands, with a specific focus on remote sensing techniques. Remote sensing technology holds significant promise in archaeological research, providing a non-destructive method for archaeologists. Developed over …

Breast cancer is the most prevalent form of cancer that affects women worldwide, posing a significant burden on public health. While advancements in early detection and improved treatments have led to a remarkable 90% five-year survival rate and an 83% ten-year survival rate, this has also resulted in …

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 …

High level circular use of post-consumer insulating glass units will contribute to lower the environmental and social impact of insulation glass industry. The application of various circular strategies for insulating glass units (IGU’s) is rising. The product age will give an indication of the remaining …

The decomposition of a body is influenced by burial conditions, making it crucial to understand the impact of different conditions for accurate grave detection. Geophysical techniques using drones have gained popularity in locating clandestine graves, offering non-invasive methods for detecting surface …