Interactive Session: Data and Information Systems | AIChE

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Interactive Session: Data and Information Systems

Chair(s)

Nicholson, B., Sandia National Laboratories

This session solicits posters in the broad area of Data and Information Management in the chemical engineering domain. Abstracts describing methods, applications, challenges, and tools are all welcome.

Presentations

8:00 AM
(339m) Modeling the Impact of Environmental Toxicants on the Estrogen Receptor Using Combined Image-Analysis, Big-Data Analytics, and Machine-Learning
8:00 AM
(339n) Machine Learning Models for Water Use Patterns Analysis in Small Rural Agricultural Communities for Informed Design and Deployment of Membrane-Based Water System
8:00 AM
(339a) Fast, Efficient & Reliable Chemical Properties Estimation through a New Class of Software Tools
8:00 AM
(339t) Early Identification of Process Deviation Based on the Statistical Feature of Prediction Residuals
8:00 AM
(339h) Mechanism Discovery and Model Identification Using Genetic Feature Extraction and Statistical Testing
8:00 AM
(339p) Fault Detection and Diagnosis in Refinery Operations: A Case Study on Rotating Equipment and Continuous Catalytic Reforming Unit
8:00 AM
(339e) Systematic Multivariate Analysis (sMVA) Strategy for Improved Process Understanding of Industrial Biorefinery Processes with Applications in Fatty Acid Production
8:00 AM
(339f) Data-Driven Optimization of Integrated Planning and Scheduling Problems Under Demand Uncertainty
8:00 AM
(339j) Optimal Communication Topologies for Particle Swarm Optimization Under Hostile Environments
8:00 AM
(339c) Chemical Process Fault Diagnosis Approach Based on Graph Convolutional Network
8:00 AM
(339l) Development of Data Based Prediction Model for Yield and Composition of Distillate from Vdu Process
8:00 AM
(339s) A Self-Labeled Deep Learning Method for Semi-Supervised Chemical Process Fault Diagnosis
8:00 AM
(339u) A Data-Driven Process Monitoring and Fault Diagnosis Method for Multi-State Industrial Process Operations
8:00 AM
(339i) Development of AI Platform Based on Machine Learning for Separation Process
8:00 AM
(339q) Supply Chain Monitoring Based on Principal Component Analysis

Topics 

Computing and Systems Engineering

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Pricing

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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