Abstract Machine learning is very important in predicting the degraded performance of fuel
cell systems for advanced diagnosis and control. Unfortunately, existing machine-learning …

In safety-critical applications, where several mobile robots and autonomous agents are
being utilized for a mission, a fault-resilience behavior of the system is necessary. The fault …

This work researches the drivers of e-commerce conversion of one of the largest e-
commerce companies in the Netherlands. We focus on product page conversion, ie, the …

Federated learning is becoming increasingly more popular as the concern of privacy
breaches rises across disciplines including the biological and biomedical fields. The main …

Trust evaluation and trust establishment play crucial roles in the management of trust within
a multi-agent system. When it comes to collaboration systems, trust becomes directly linked …

In the field of Multi-Agent Systems (MAS), known for their openness, dynamism, and
cooperative nature, the ability to trust the resources and services of other agents is crucial …