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Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
AI and Analytics for Public Health: Proceedings of the 2020 Informs International Conference on Service Science

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

Paperback

Series: Springer Proceedings in Business and Economics

Business GeneralTechnology & EngineeringProbability & Statistics

ISBN10: 3030751686
ISBN13: 9783030751685
Publisher: Springer Nature
Published: Jan 6 2023
Pages: 477
Weight: 1.50
Height: 0.99 Width: 6.14 Depth: 9.21
Language: English
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.

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