9 papers
Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
Mattia Consani, Denisa-Andreea Constantinescu, Ã se HÃ¥tveit +4
Global insect population declines necessitate scalable, continuous monitoring systems, yet existing vision-based solutions remain constrained by high hardware costs, energy demands…
GridPilot: Real-Time Grid-Responsive Control for AI Supercomputers
Denisa-Andreea Constantinescu, David Atienza
At global scale, data-center electricity demand is growing faster than the grids that supply it, while system operators increasingly require large flexible loads that can adjust po…
astroCAMP: A Community Benchmark and Co-Design Framework for Sustainable SKA-Scale Radio Imaging
Denisa-Andreea Constantinescu, Rubén RodrÃguez Ãlvarez, Jacques Morin +7
The Square Kilometre Array (SKA) will operate one of the world's largest continuous scientific data systems, sustaining petascale imaging under strict power envelopes. Current radi…
AquaCast: Urban Water Dynamics Forecasting with Precipitation-Informed Multi-Input Transformer
Golnoosh Abdollahinejad, Saleh Baghersalimi, Denisa-Andreea Constantinescu +2
This work addresses the challenge of forecasting urban water dynamics by developing a multi-input, multi-output deep learning model that incorporates both endogenous variables (e.g…
CEO-DC: Driving Decarbonization in HPC Data Centers with Actionable Insights
Rubén RodrÃguez Ãlvarez, Denisa-Andreea Constantinescu, Miguel Peón-Quirós +1
The rapid growth of data centers is increasing energy demand and widening the carbon gap in the ICT sector, as fossil fuels still dominate global energy production. Addressing this…
FADE: Forecasting for Anomaly Detection on ECG
Paula Ruiz-Barroso, Francisco M. Castro, José Miranda +3
Cardiovascular diseases, a leading cause of noncommunicable disease-related deaths, require early and accurate detection to improve patient outcomes. Taking advantage of advances i…