Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency I | AIChE

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Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency I

Chair(s)

Babaei Pourkargar, D., Kansas State University

Co-chair(s)

Zahedi, G., Missouri University of Science and Technology

Applied Artificial Intelligence, Big Data, and Data Analytics Methods for Next-Gen Manufacturing Efficiency

Presentations

8:00 AM
(135a) Real-Time Feedback Control of an Atomic Layer Etching Spatial Reactor
8:21 AM
(135b) Sample Size Determination for Metamodel Building in Automated Machine Learning Pipelines By an Inclusive Feedback Algorithm
8:42 AM
(135c) Paraflow: Generative Design for Faster Additive Fabrication with Fewer Supports
9:03 AM
(135d) Implementing Statistical Process Control Using Python and Iiot for Real-Time Process Monitoring and Decision-Making
9:24 AM
(135e) AI-Based Optimal Batch Control for Industrial Penicillin Fermentation Leveraging Deep Reinforcement Learning
9:45 AM
(135f) Applications of Artificial Intelligence for Thermal Analysis of Heat Exchangers

Topics 

Manufacturing

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Individuals

AIChE Pro Members $150.00
AIChE Emeritus Members $105.00
AIChE Graduate Student Members Free
AIChE Undergraduate Student Members Free
AIChE Explorer Members $225.00
Non-Members $225.00

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