3 papers
cs.LG2026
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
Karim Othman, Jonas Petersen, Matei Ignuta-Ciuncanu +5
We introduce the first universal pretraining corpus for industrial time-series data: FactoryNet. 51M datapoints across 23k end-to-end task executions (13.3k real, 9.8k synthetic) o…
cs.AI2026
FactoryBench: Evaluating Industrial Machine Understanding
Yanis Merzouki, Coral Izquierdo, Matei Ignuta-Ciuncanu +8
We introduce FactoryBench, a benchmark for evaluating time-series models and LLMs on machine understanding over industrial robotic telemetry. Q&A pairs are organized along four cau…
physics.flu-dyn2026
Prediction of Steady-State Flow through Porous Media Using Machine Learning Models
Jinhong Wang, Matei C. Ignuta-Ciuncanu, Ricardo F. Martinez-Botas +1
Solving flow through porous media is a crucial step in the topology optimisation of cold plates, a key component in modern thermal management. Traditional computational fluid dynam…