rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: AI and Analytics for Public Health
    sub title: Proceedings of the 2020 INFORMS International Conference on Service Science
  name:
    name part: Yang, Hui.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Qiu, Robin.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Chen, Weiwei.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2022
    edition: 1st ed. 2022.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (XII, 477 pages 114 illustrations)
  abstract: This volume offers the state-of-the-art research and developments in service science and related research, education and practice areas. It showcases emerging technology and applications in fields including healthcare, energy, finance, information technology, transportation, sports, logistics, and public services. Regardless of size and service, a service organization is a service system. Because of the socio-technical nature of a service system, a systems approach must be adopted to design, develop, and deliver services, aimed at meeting end users' both utilitarian and socio-psychological needs. Effective understanding of service and service systems often requires combining multiple methods to consider how interactions of people, technology, organizations, and information create value under various conditions. Chapters highlight ways to approach such technical challenges in service science and are based on submissions from the 2020 INFORMS International Conference on Service Science.
  table of contents: 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.
  note: edited by Hui Yang, Robin Qiu, Weiwei Chen.
  subject:
    topic: Operations research
  subject:
    topic: Quantitative research
  subject:
    topic: Engineering mathematics
  subject:
    topic: Engineering-Data processing
  subject:
    topic: Operations Research and Decision Theory
  subject:
    topic: Data Analysis and Big Data
  subject:
    topic: Mathematical and Computational Engineering Applications
  classification: T57.6-.97
  classification: 658.403
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Springer Proceedings in Business and Economics
  identifier: 9783030751661
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 220103
    record change date: 20240805181808.8
    record identifier: in00004554841