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AI and Analytics for Public Health: Proceedings of the 2020 INFORMS International Conference on Service Science 2021 ed. [Kietas viršelis]

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  • Formatas: Hardback, 477 pages, aukštis x plotis: 235x155 mm, weight: 898 g, 114 Illustrations, black and white; XII, 477 p. 114 illus., 1 Hardback
  • Serija: Springer Proceedings in Business and Economics
  • Išleidimo metai: 05-Jan-2022
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030751651
  • ISBN-13: 9783030751654
Kitos knygos pagal šią temą:
AI and Analytics for Public Health: Proceedings of the 2020 INFORMS International Conference on Service Science 2021 ed.Didesnis paveikslėlis
  • Formatas: Hardback, 477 pages, aukštis x plotis: 235x155 mm, weight: 898 g, 114 Illustrations, black and white; XII, 477 p. 114 illus., 1 Hardback
  • Serija: Springer Proceedings in Business and Economics
  • Išleidimo metai: 05-Jan-2022
  • Leidėjas: Springer Nature Switzerland AG
  • ISBN-10: 3030751651
  • ISBN-13: 9783030751654
Kitos knygos pagal šią temą:
Pastovi nuoroda: https://www.kriso.lt/db/9783030751654.html
Raktažodžiai:
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.
Epidemic Informatics and Control: A Review from System Informatics to Epidemic Response and Risk Management in Public Health
1(58)
Hui Yang
Siqi Zhang
Runsang Liu
Alexander Krall
Yidan Wang
Marta Ventura
Chris Deflitch
Private vs. Pooled Transportation: Customer Preference and Congestion Management
59(16)
Kashish Arora
Fanyin Zheng
Karan Girotra
Optimal Dispatch in Emergency Service System via Reinforcement Learning
75(14)
Cheng Hua
Tauhid Zaman
Towards Understanding the Dynamics of COVID-19: An Approach Based on Polynomial Regression with Adaptive Sliding Windows
89(12)
Yuxuan Xiu
Wai Kin (Victor) Chan
Capturing the Deep Trend of Stock Market for a Big Profit
101(10)
Robin Qiu
Jeffrey Gong
Jason Qiu
Analysis on Competitiveness of Service Outsourcing Industry in Yangtze River Delta Region
111(12)
Yanfeng Chu
Qunkai Peng
OPBFT: Optimized Practical Byzantine Fault Tolerant Consensus Mechanism Model
123(14)
Hui Wang
Wenan Tan
Jiakai Wu
Pan Liu
Entropy Weight-TOPSIS Method Considered Text Information with an Application in E-Commerce
137(12)
Ailin Liang
Xueqin Huang
Tianyu Xie
Liangyan Tao
Yeqing Guan
Optimal Resource Allocation for Coverage Control of City Crimes
149(14)
Rui Zhu
Faisal Aqlan
Hui Yang
Application of Internet of Things (IoT) in Inventory Management for Perishable Produce
163(16)
Jing Huang
Hongrui Liu
Modified Risk Parity Portfolios to Limit Concentration on Low Risk Assets in Multi-Asset Portfolios
179(12)
Fatemeh Amini
Atefeh Rajabalizadeh
Sarah M. Ryan
Farshad Niayeshpour
A Data Analysis Method for Estimating Balking Behavior in Bike-Sharing Systems
191(14)
Aditya Ahire
Ashkan Negahban
The Impact of Scalability on Advisory and Service Delivery Efforts of Nonprofits
205(10)
Priyank Arora
Morvarid Rahmani
Karthik Ramachandran
Green Location-Routing Problem with Delivery Options
215(14)
Mengtong Wang
Lixin Miao
Canrong Zhang
Molecular Bioactivity Prediction of HDAC1: Based on Deep Neural Nets
229(12)
Miaomiao Chen
Shan Li
Yu Ding
Hongwei Jin
Jie Xia
Risk Assessment Indicators for Technology Enterprises: From the Perspective of Complex Networks
241(14)
Runjie Xu
Nan Ye
Qianru Tao
Shuo Zhang
Subsidy Design for Personal Protective Equipments (PPEs) Adoption
255(6)
Ailing Xu
Qiao-Chu He
Ying-ju Chen
Early Detection of Rumors Based on BERT Model
261(8)
Li Yuechen
Qian Lingfei
Ma Jing
Research on the Cause of Personal Accidents in Electric Power Production Based on Capacity Load Model
269(12)
Penglei Li
Chuanmin Mi
Jie Xu
A Simulation Optimization Approach for Precision Medicine
281(10)
Jianzhong Du
Siyang Gao
Chun-Hung Chen
Research on Patent Information Extraction Based on Deep Learning
291(12)
Xiaolei Cui
Lingfei Qian
Electric Power Personal Accident Characteristics Recognition Based on HFACS and Latent Class Analysis
303(14)
Zhao Chufan
Mi Chuanmin
Xu Jie
Sentiment Analysis Based on Bert and Transformer
317(12)
Tang Yue
Ma Jing
Collection and Analysis of Electricity Consumption Data: The Case of POSTECH Campus
329(14)
Do-Hyeon Ryu
Young Myoung Ko
Young-Jin Kim
Minseok Song
Kwang-Jae Kim
Balance Between Pricing and Service Level in a Fresh Agricultural Products Supply Chain Considering Partial Integration
343(12)
Peihan Wen
Jiaqi He
A Stacking-Based Classification Approach: Case Study in Volatility Prediction of HIV-1
355(12)
Mohammad Fili
Guiping Hu
Changze Han
Alexa Kort
Hillel Haim
Social Relations Under the Covid-19 Epidemic: Government Policies, Media Statements and Public Moods
367(14)
Wangzhe
Zhongxiao Zhang
Qianru Tao
Nan Ye
Runjie Xu
A Machine Learning Approach to Understanding the Progression of Alzheimer's Disease
381(12)
Vineeta Peddinti
Robin Qiu
Modelling the COVID-19 Epidemic Process of Shenzhen and the Effect of Social Intervention Based on SEIR Model
393(12)
Wenjie Zhang
Wai Kin (Victor) Chan
Artificial Intelligence - Extending the Automation Spectrum
405(14)
Stephen K. Kwan
Maria Cristina Pietronudo
Robust Portfolio Optimization Models When Stock Returns Are a Mixture of Normals
419(12)
Polen Arabaci
Burak Kocuk
Two-Stage Chance-Constrained Telemedicine Assignment Model with No-Show Behavior and Uncertain Service Duration
431(12)
Menglei Ji
Jinlin Li
Chun Peng
Exploring Social Media Misinformation in the COVID-19 Pandemic Using a Convolutional Neural Network
443(10)
Alexander J. Little
Zhijie Sasha Dong
Andrew H. Little
Guo Qiu
Personalized Predictions for Unplanned Urinary Tract Infection Hospitalizations with Hierarchical Clustering
453(14)
Lingchao Mao
Kimia Vahdat
Sara Shashaani
Julie L. Swann
Risks Brought by Competition: Investment and Merger of Internet Enterprises
467
Ye Nan
Xu Runjie
Hui Yang is a Professor in the Harold and Inge Marcus Department of Industrial and Manufacturing Engineering at The Pennsylvania State University, University Park, PA. Dr. Yang's research interests focus on sensor-based modeling and analysis of complex systems for process monitoring, process control, system diagnostics, condition prognostics, quality improvement, and performance optimization.

Robin Qiu is Professor at Pennsylvania State University, USA. Dr. Qius research interests include Big Data, Data/Business Analytics, Smart Service Systems, Service Science, Service Operations and Management, Information Systems, and Manufacturing and Supply Chain Management.

Weiwei Chen is an Associate Professor at Rutgers University, USA. His research interests lie in operations and finance interface, as well as supply chain operations planning and scheduling. He also works on simulation and randomized global optimization methodologies.