Joshua Pulsipher

According to our database, Joshua Pulsipher authored at least 10 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Linear model decision trees as surrogates in optimization of engineering applications.

Bashar L. Ammari, Emma S. Johnson, Georgia Stinchfield, Taehun Kim, Michael Bynum, William E. Hart, Joshua Pulsipher, Carl D. Laird

Comput. Chem. Eng., October, 2023

2022

Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing.

Shengli Jiang, Shiyi Qin, Joshua L. Pulsipher, Victor M. Zavala

CoRR, 2022

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, Victor M. Zavala

CoRR, 2022

A unifying modeling abstraction for infinite-dimensional optimization.

Joshua L. Pulsipher, Weiqi Zhang, Tyler J. Hongisto, Victor M. Zavala

Comput. Chem. Eng., 2022

Random field optimization.

Joshua L. Pulsipher, Benjamin R. Davidson, Victor M. Zavala

Comput. Chem. Eng., 2022

2021

Measuring and Optimizing System Reliability: A Stochastic Programming Approach.

Joshua L. Pulsipher, Victor M. Zavala

CoRR, 2021

2019

A scalable stochastic programming approach for the design of flexible systems.

Joshua Pulsipher, Victor M. Zavala

Comput. Chem. Eng., 2019

A computational framework for quantifying and analyzing system flexibility.

Joshua Pulsipher, Daniel Rios, Victor M. Zavala

Comput. Chem. Eng., 2019

2018

A mixed-integer conic programming formulation for computing the flexibility index under multivariate gaussian uncertainty.

Joshua Pulsipher, Victor M. Zavala

Comput. Chem. Eng., 2018

2017

Potential Benefits of Combining Anomaly Detection with View Planning for UAV Infrastructure Modeling.

R. Abraham Martin, Landen Blackburn, Joshua Pulsipher, Kevin Franke, John D. Hedengren

Remote. Sens., 2017