5 papers
Hardware-Aware YOLO Compression for Low-Power Edge AI on STM32U5 for Weeds Detection in Digital Agriculture
Charalampos S. Kouzinopoulos, Yuri Manna
Weeds significantly reduce crop yields worldwide and pose major challenges to sustainable agriculture. Traditional weed management methods, primarily relying on chemical herbicides…
Machine Learning for Pattern Detection in Printhead Nozzle Logging
Nikola Prianikov, Evelyne Janssen-van Dam, Marcin Pietrasik +1
Correct identification of failure mechanisms is essential for manufacturers to ensure the quality of their products. Certain failures of printheads developed by Canon Production Pr…
A Segmented Robot Grasping Perception Neural Network for Edge AI
Casper Bröcheler, Thomas Vroom, Derrick Timmermans +4
Robotic grasping, the ability of robots to reliably secure and manipulate objects of varying shapes, sizes and orientations, is a complex task that requires precise perception and…
Adaptively Pruned Spiking Neural Networks for Energy-Efficient Intracortical Neural Decoding
Francesca Rivelli, Martin Popov, Charalampos S. Kouzinopoulos +1
Intracortical brain-machine interfaces demand low-latency, energy-efficient solutions for neural decoding. Spiking Neural Networks (SNNs) deployed on neuromorphic hardware have dem…
Predicting the Lifespan of Industrial Printheads with Survival Analysis
Dan Parii, Evelyne Janssen, Guangzhi Tang +2
Accurately predicting the lifespan of critical device components is essential for maintenance planning and production optimization, making it a topic of significant interest in bot…