5 papers
Domain-Aware Hyperdimensional Computing for Edge Smart Manufacturing
Fardin Jalil Piran, Anandkumar Patel, Rajiv Malhotra +1
Smart manufacturing requires on-device intelligence that meets strict latency and energy budgets. HyperDimensional Computing (HDC) offers a lightweight alternative by encoding data…
Knowledge Graph Fusion with Large Language Models for Accurate, Explainable Manufacturing Process Planning
Danny Hoang, David Gorsich, Matthew P. Castanier +1
Precision process planning in Computer Numerical Control (CNC) machining demands rapid, context-aware decisions on tool selection, feed-speed pairs, and multi-axis routing, placing…
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models
Kiarash Naghavi Khanghah, Zhiling Chen, Lela Romeo +4
Additive manufacturing enables the fabrication of complex designs while minimizing waste, but faces challenges related to defects and process anomalies. This study presents a novel…
Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?
Zhiling Chen, Hanning Chen, Mohsen Imani +1
In industrial settings, the accurate detection of anomalies is essential for maintaining product quality and ensuring operational safety. Traditional industrial anomaly detection (…
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
Fardin Jalil Piran, Zhiling Chen, Mohsen Imani +1
Federated Learning (FL) has become a key method for preserving data privacy in Internet of Things (IoT) environments, as it trains Machine Learning (ML) models locally while transm…