13 citations · 19 across the 6 of their papers we have counts for
5 papers · 1 filter
When the Cross-Silo Federation Goes Offline: Continual Learning for Site Onboarding with Limited Unlabeled Data
Ahmadreza Eslaminia, Klara Nahrstedt, Chenhui Shao
An organization often holds too little labeled data to train a model that generalizes, and the records that would supply the rest sit with organizations that cannot release them. C…
LLM-ADAM: A Generalizable LLM Agent Framework for Pre-Print Anomaly Detection in Additive Manufacturing
Ahmadreza Eslaminia, Chuhan Cai, Cameron Smith +5
Additive manufacturing (AM) continues to transform modern manufacturing by enabling flexible, on-demand production of complex geometries across diverse industries. Fused filament f…
Adaptive Unknown Fault Detection and Few-Shot Continual Learning for Condition Monitoring in Ultrasonic Metal Welding
Ahmadreza Eslaminia, Kuan-Chieh Lu, Klara Nahrstedt +1
Ultrasonic metal welding (UMW) is widely used in industrial applications but is sensitive to tool wear, surface contamination, and material variability, which can lead to unexpecte…
FDM-Bench: A Comprehensive Benchmark for Evaluating Large Language Models in Additive Manufacturing Tasks
Ahmadreza Eslaminia, Adrian Jackson, Beitong Tian +5
Fused Deposition Modeling (FDM) is a widely used additive manufacturing (AM) technique valued for its flexibility and cost-efficiency, with applications in a variety of industries…
Federated Transfer Learning with Task Personalization for Condition Monitoring in Ultrasonic Metal Welding
Ahmadreza Eslaminia, Yuquan Meng, Klara Nahrstedt +1
Ultrasonic metal welding (UMW) is a key joining technology with widespread industrial applications. Condition monitoring (CM) capabilities are critically needed in UMW applications…