2020 Virtual Spring Meeting and 16th GCPS

Session: Poster Session: Industry 4.0 and Big Data Analytics

Chair

Tyler Walker, Dow Chemical

Co-Chair

Anna Zink, The Dow Chemical Company

Presentations

03:00 PM

(59k) Real-Time Multivariate Data Analysis for Real People
Anna Zink, Ryan Crowley, Mary Beth Seasholtz
(59n) Momentum Transfer in TUBE FLOW By Using Artificial Neural Networks
Murali Mohan Vaka, Kanaka Durga Returi, P. Rajendra Prasad
(59l) How Do I Prioritize Industry 4.0 Projects for Maximum Return on Investment?
Jonas Norinder
(59i) Unlock the Value of Big Data through Predictive Analytics
Omar Almasri, Sean Gregerson
(59j) Damage Scale Prediction Based on Machine Learning of Hazardous Material Accidents Data and Public Big Data
Eunji Shin, Dongil Shin
(59g) Sustainable Machine Learning in the Process Industries (Poster)
Brian Parsonnet
(59f) Automated Machine Learning - Paving the Way to True Generalization with Evolutionary Methods (Poster)
David Marlow
(59e) Next Generation Industrial Analytics: Software for Process Experts (Poster)
Frederick Motte
(59d) Digital Transformation and Industry 4.0: Bridging the Gap between Aspiration and Reality (Poster)
Peter Guilfoyle
(59c) Extracting Causal Relations from Incident Reports: A Natural Language Processing and Topic Modeling Approach (Poster)
Guanyang Liu, Mason Boyd, Noor Quddus
(59b) Control System Design Using Reinforcement Learning (Poster)
James Cross, Emmanouil Tzorakoleftherakis
(59h) Regarding Applying Industry 4.0 Technologies across the Value Chain of Chemical Processing Industry Production Plants
Iiro Esko