6 papers
Time-Series Retrieval for Grounding Multimodal Language Models in Remaining Useful Life Prediction
Valeriu Dimidov, Raphaël Frank
Large language models (LLMs) and agentic AI systems are increasingly being explored for domain-specific maintenance and prognostics tasks, raising the question of whether they can…
Agentic Vehicles for Human-Centered Mobility: Definition, Prospects, and Synergistic Co-Development with Vehicle Autonomy
Jiangbo Yu, Raphael Frank, Luis Miranda-Moreno +6
Autonomy, from the Greek autos (self) and nomos (law), refers to the capacity to operate according to internal rules without external control. Autonomous vehicles (AuVs) are theref…
An Empirical Study on Predictive Maintenance for Component X in Heavy-Duty Scania Trucks
Valeriu Dimidov, Sasan Jafarnejad, Raphaël Frank
Condition-based Predictive Maintenance (PdM) for truck fleets has gained momentum in recent years. This maintenance strategy aims to minimize unplanned downtimes and reduce costs b…
MILD: Mediator Agent System with Bidirectional Perception and Multi-Layered Alignment for Human-Vehicle Collaboration
Jiyao Wang, Yunbiao Wang, Yubo Jiao +6
Prior studies report that partial driving automation can increase the cognitive demands on human drivers. This effect largely arises from human drivers' lack of transparent insight…
An Agentic LLM Framework for Adverse Media Screening in AML Compliance
Pavel Chernakov, Sasan Jafarnejad, Raphaël Frank
Adverse media screening is a critical component of anti-money laundering (AML) and know-your-customer (KYC) compliance processes in financial institutions. Traditional approaches r…
Bridging the Data Gap: Spatially Conditioned Diffusion Model for Anomaly Generation in Photovoltaic Electroluminescence Images
Shiva Hanifi, Sasan Jafarnejad, Marc Köntges +3
Reliable anomaly detection in photovoltaic (PV) modules is critical for maintaining solar energy efficiency. However, developing robust computer vision models for PV inspection is…