2021 Annual Meeting

Session: Interactive Session: Data and Information Systems

Chair

Kristen Severson, IBM Research

Presentations

03:30 PM

(345v) Reinforcement Learning of Optimization Strategy and Horizon Length Selection in Online Vehicle Routing
Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski
(345p) Machine Learning Assisted Prediction Modelling for Pressure Vessel Design and Stress Analysis.
Abdulfatai Faro, Kazeem Salam, Dare Jeremiah, Aonullahi Adebayo, Oluwapemi Adekanmi
(345c) Data-Driven Dynamic Optimization Using Continuous-Time Surrogate Models
Burcu Beykal, Nikolaos A. Diangelakis, Efstratios Pistikopoulos
(345e) Prediction of Nitrous Oxide Concentration in Wastewater Treatment Plants: Application and Benchmarking of Deep-Learning Models
Gurkan Sin, Adem Aouichaoui, Sille Bendix Larsen, Mikkel Holmen Andersen
(345f) Feature Extraction for Process Monitoring with Nonstationary Measurements Based on Principal Component Analysis and Mutual Information
Cheng Ji, Wei Sun, Jingde Wang, Fangyuan Ma, Zheng Lu, Xuebing Zhu
(345g) A Modified Bayesian Network to Handle Cyclic Causal Network in Root Cause Diagnosis of Rare Events
Qingsheng Wang, Pallavi Kumari, Joseph Kwon
(345q) Classification of Cardiomyocyte Content Differentiated from Human Induced Pluripotent Stem Cells
Samira Mohammadi, Ferdous Finklea, Mohammadjafar Hashemi, Bianca Williams, Elizabeth Lipke, Selen Cremaschi
(345k) A Functional Safety System That Prescribes Optimal Time-Varying Proactive Actions
Masoud Soroush, Leila Samandari Masooleh, Ulku Oktem, Warren Seider, Jeffrey E. Arbogast
(345w) Machine Biology for Infectious Diseases
Cesar de la Fuente-Nunez
(345r) An Efficient Reinforcement Algorithm Approach to Stochastic Optimal Control with Application to Biodiesel Production.
Shiam Kannan, Urmila Diwekar
(345s) An Integrated Machine Learning and Optimization Approach for Octane Optimization
Metin Turkay, Ahmet Can Serfidan
(345i) A Comparative Analysis on Interpretability of Explainable AI (XAI) for Neural Network Based Fault Detection Methods
Suyeon Sohn, Jay H. Lee
(345u) A Machine Learning Approach for the Design of a Soft Sensor in an Oil Refinery's Distillation Column
Ana I. Torres, Jimena Ferreira, Martín Pedemonte
(345a) AI Speaker-Based Information Management and Multilingual Knowledge Service on Chemical Material Safety
Hunggi Lee, Sangwoo Yoo, Dongil Shin, MinKyoung Kim
(345o) Data-Driven and Knowledge Hybrid Real-Time Decision Making for Exposed Chemical Hazard Based on Knowledge Graph Inference Expanded By Deep Learning
Sangwoo Yoo, Dongil Shin, Hunggi Lee, En Sup Yoon
(345m) Fitting of Failure Models with Bathtub-Shaped Failure Rate to Data Using Optimization Algorithms
Teemu Ikonen, Francesco Corona, Iiro Harjunkoski