ENBIS-24 Leuven Conference

Session

INFORMS invited session: Quality Statistics Reliability (QSR)

16 Sept 2024, 11:00

Leuven, Belgium

Conveners

INFORMS invited session: Quality Statistics Reliability (QSR)

• Kamran Paynabar (School of Industrial and Systems Engineering)

Description

Invited session

57. Federated generalized linear model for multimodal data analysis

Mostafa Reisi Gahrooei (University of Florida)

16/09/2024, 11:00

Data Science

We propose a generalized linear model for distributed multimodal data, where each sample contains multiple data modalities, each collected by an instrument. Unlike the centralized methods that require access to all samples, our approach assumes that samples are distributed across several sites, and pooling the data is not allowable due to data sharing constraints. Our approach constructs a set...

117. Optimizing Anomaly Detection in Printed Circuit Boards Using Machine Learning: The Critical Role of Data Volume for Enhanced Accuracy

Farnoosh Naderkhani (Concordia Univeristy)

16/09/2024, 11:30

AI in Industry

In the era of Industry 4.0, ensuring the quality of Printed Circuit Boards (PCBs) is essential for maintaining high product quality, reliability, and reducing manufacturing costs. Anomaly detection in PCB production lines plays a critical role in this process. However, imbalanced datasets and the complexities of diverse data types pose significant challenges. This study explores the impact of...

132. Tensor-Based Temporal Control for Partially Observed High-Dimensional Streaming Data

Kamran Paynabar (Georgia Tech Atlanta)

16/09/2024, 12:00

In advanced manufacturing processes, high-dimensional (HD) streaming data (e.g., sequential images or videos) are commonly used to provide online measurements of product quality. Although there exist numerous research studies for monitoring and anomaly detection using HD streaming data, little research is conducted on feedback control based on HD streaming data to improve product quality,...