3 citations · 4 across the 8 of their papers we have counts for
8 papers
Federated Deep Clustering Networks for High-Dimensional and Heterogeneous Data
Morris Stallmann, Charalampos S. Kouzinopoulos, Marcin Pietrasik +1
Clustering high-dimensional data is a fundamental task in unsupervised machine learning with applications to a variety of domains. In the centralized data scenario, this task is co…
A Hardware-Based Multi-Stage Dynamic Power Management Architecture for Autonomous Low-Light Operation
Charalampos S. Kouzinopoulos, Marcel L. Meli, Martin Schellenberg +6
The advance of autonomous Smart Sensor Networks and embedded systems for the Internet of Things, powered by photovoltaic energy harvesting, is severely limited by energy efficiency…
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…
A Hybrid Parallel Implementation of the Aho-Corasick and Wu-Manber Algorithms Using NVIDIA CUDA and MPI Evaluated on a Biological Sequence Database
Charalampos S. Kouzinopoulos, John-Alexander M. Assael, Themistoklis K. Pyrgiotis +1
Multiple matching algorithms are used to locate the occurrences of patterns from a finite pattern set in a large input string. Aho-Corasick and Wu-Manber, two of the most well know…