AI and Analytics for Public Health : Proceedings of the 2020 INFORMS International Conference on Service Science

Chapter 1. Private vs. Pooled Transportation: Customer Preference and Congestion Management -- Chapter 2. Optimal Dispatch in Emergency Service System via Reinforcement Learning -- Chapter 3. Towards Understanding the Dynamics of COVID-19: An Approach based on Polynomial Regression with Adaptive Sliding Windows -- Chapter 4. Capturing the Deep Trend of Stock Market for a Big Profit -- Chapter 5. Analysis on Competitiveness of Service Outsourcing Industry in Yangtze River Delta Region -- Chapter 6. OPBFT: Optimized Practical Byzantine Fault Tolerant Consensus Mechanism Model -- Chapter 7. Entropy Weight-TOPSIS Method Considered Text Information with An Application in E-commerce -- Chapter 8. Optimal Resource Allocation for Coverage Control of City Crimes -- Chapter 9. Application of Internet of Things (IoT) in Inventory Management for Perishable Produce -- Chapter 10. Enabling Smart Buildings with Reinforcement Learning Controllers to Reduce Energy Consumption -- Chapter 11. Modified Risk Parity Portfoliosto Limit Concentration on Low Risk Assets in Multi-Asset Portfolios -- Chapter 12. A Data Analysis Method for Estimating Balking Behavior in Bike-Sharing Systems -- Chapter 13. The Impact of Scalability on Advisory and Service Delivery Efforts of Nonprofits -- Chapter 14. Green Location-Routing Problem with Delivery Options -- Chapter 15. Molecular Bioactivity Prediction of HDAC1 Based on Deep Neural Nets -- Chapter 16. Risk assessment indicators for technology enterprises: From the perspective of complex networks -- Chapter 17. Risk assessment indicators for technology enterprises: From the perspective of complex networks -- Chapter 18. Early Detection of Rumors Based on BERT Model.