Posts tagged with: Training

A Novel Data Augmentation Method Based on Denoising Diffusion Probabilistic Model for Fault Diagnosis Under Imbalanced Data

Authors: Xiongyan Yang; Tianyi Ye; Xianfeng Yuan; Weijie Zhu; Xiaoxue Mei; Fengyu Zhou
Abstract:
Imbalanced data present a notable challenge in intelligent fault diagnosis, as the scarcity of fault samples often results in biased learning and reduced diagnostic accuracy. Conventional approaches, such as cost-sensitive learning, resampling, and …

Opportunities and Challenges of Generative Artificial Intelligence: Research, Education, Industry Engagement, and Social Impact

Authors: Daswin de Silva; Okyay Kaynak; Mona El-Ayoubi; Nishan Mills; Damminda Alahakoon; Milos Manic
Extended Abstract:
Generative artificial intelligence (Generative AI) is transforming the way we live and work. Following several decades of artificial narrow intelligence, Generative AI is signaling a paradigm shift in the intelligence of …

Object Shape Error Response using Bayesian 3D Convolutional Neural Networks for Assembly Systems with Compliant Parts

Authors: Sumit Sinha, Pasquale Franciosa and Dariusz Ceglarek from University of Warwick, U.K.
Abstract:
The article contributes to the overall initiative driving zero-defect manufacturing strategy by accelerating the development of in-process quality improvement capabilities, specifically Root Cause Analysis (RCA) of quality (6-sigma) defects in multi-station assembly systems. …