20 citations · 71 across the 16 of their papers we have counts for
3 papers · 1 filter
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
Shengli Jiang, Shiyi Qin, Joshua L. Pulsipher +1
We discuss basic concepts of convolutional neural networks (CNNs) and outline uses in manufacturing. We begin by discussing how different types of data objects commonly encountered…
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
Joshua L. Pulsipher, Luke D. J. Coutinho, Tyler A. Soderstrom +1
We present a novelty detection framework for Convolutional Neural Network (CNN) sensors that we call Sensor-Activated Feature Extraction One-Class Classification (SAFE-OCC). We sho…
Random Field Optimization
Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala
We present a new modeling paradigm for optimization that we call random field optimization. Random fields are a powerful modeling abstraction that aims to capture the behavior of r…