2019 AIChE Annual Meeting

Session: Interactive Session: Data and Information Systems

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.

Chair

Presentations

03:30 PM

(370j) A Stochastic Programming for Optimal Fence Line Monitoring and Detection of Toxic and Flammable Gases Using Fixed and Mobile Sensors
(370k) Hierarchical Multi-Class Segmentation for Identification of MIMO Systems from Historical Data
(370u) Cognitive Autonomous Agents for Process Abnormal Behaviour Detection: An Application of Arti?cial Intelligence
(370a) Computer Vision Improvised Cell Detection for Lab-on-a-Chip Diagnostics Point Care Solutions
(370q) Reverse Mapping of Nonlinear Process Responses By a Trained Neural Network
(370b) Probabilistic PCA for Multivariate Process Monitoring and Comparison with PCA
(370c) A Holistic Approach for the Development and Test of an Information System
(370l) Semi-Automatic Method to Optimize Multi-Lamp High Flux Solar Simulators Utilizing Machine Learning Algorithms
(370d) A Data-Driven Approach for Parameter Estimation of Stochastic Models By Using Machine Learning Techniques
(370t) Going through the Disruptive Transformations in Chemical Industrial Practices : Impact of Expert Systems and Artificial Intelligence on Automation and Decision Making
(370e) Hybrid Cutpoint Optimization Using Improved Swing-Cut Method and Data Analytics for Crude-Oil Distillation Towers
(370f) Quantitative Evaluation of Grouping Complex Substances and Sorbent Material Design: Delivering Data-Informed Insights
(370s) GPU Parallel Forward and Backward Selection for Model Building
(370m) Machine Learning for Biorefining: Towards a Universal Kinetic Model of Wood Deconstruction
(370n) Constructing Interpretable and Accurate Model Combining Decision Tree and Random Forest
(370o) New Evaluation Method of Soft Sensors Considering Characteristics of Time Series Data
(370g) Experimental Validation of Methods for Optimizing Remaining Useful Life (RUL)
(370h) Prediction of Pressure Drop of Platforming Exchanger in a Continuous Catalytic Reforming Unit
(370p) Model-Based Optimization of Laser-Reduced Graphene with Sparse Datasets
(370i) Constrained Parameter Identification Algorithms for Dual-Rate Systems with Inter-Sample Output Prediction
(370v) Machine Learning-Based Surrogate Modeling and Optimization: Application to Systematic Process Intensification Using Building Block Superstructure
(370r) Development of an Image Analysis Tool for High-Speed Imaging Data in a Dropwise Additive Manufacturing Process