计算机科学
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Trustworthy last-mile food delivery: Integrating IoT sensors with blockchain incentives
作者Md Masuduzzaman; Elkafi Hassini; Md Facklasur Rahaman; Subroto Kumar Ghosh
作者单位DeGroote School of Business, McMaster University, Hamilton ON, L8S 4E8, Canada; School of Information Technology, Deakin University, Burwood Hwy, Burwood VIC 3125, Australia; Department of IT Convergence Engineering, Kumoh National Institute of Technology (KIT), Gumi 39177, South Korea
Human-Centric, AI-Enabled Concurrent Engineering: Towards a cross-domain framework
作者Andreas Holzinger; Heimo Müller; Josip Stjepandić
作者单位Human-Centered AI Lab, FTEC, Department for Ecosystem Management, Climate and Biodiversity, BOKU University Vienna, 1190 Vienna, Austria; Institute for Human-Centered Computing, Faculty of Computer Science and Biomedical Engineering, Graz University of Technology, 8010 Graz, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, 8036 Graz, Austria; Machine Learning and Information Science Group, Medical University Graz, 8010 Graz, Austria; Human Machine Mind Corporation Graz, 8010 Graz, Austria; PROSTEP AG, Dolivostraße 11, 64293 Darmstadt, Germany
Proactive diffusion-based latency-sensitive task scheduling for generative digital twins in cyber–physical production systems
作者Xiangyang Chen; Xiuwen Fu; Bei Wu; Yuchang Mo
作者单位Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China; Logistics Engineering College, Shanghai Maritime University, Shanghai 201306, China; School of Management, Northwestern Polytechnical University, Xi’an 710072, China; School of Mathematical Sciences, Huaqiao University, Quanzhou 362021, China
An approach to improve real-time precision of a large radio telescope based on digital twin
作者Zhen Lei; Qing Ma; Chengsong Dan
作者单位School of Construction Machinery, Chang’an university, Xi’an, China; Key Laboratory of Road Construction Technology and Equipment of MOE, Chang’an university, Xi’an, China
A scalable framework for building and validating knowledge-driven synthetic consumer agents with large language models
作者Keyan Jin; Yiyun Zhang; Tao Fang; Francisco Javier Blanco-Encomienda
作者单位International School for Postgraduate Studies, University of Granada, Granada, Spain; Wisplus Technology Limited, Hong Kong, China; Institute of International Language Services Studies, Macau Millennium College, Macao, China; Faculty of Education, Economics and Technology of Ceuta, University of Granada, Ceuta, Spain
Bi-level multi-agent collaborative dynamic scheduling for flexible flow shops with tight temporal and limited buffer constraints
作者Daliang Chang; FengChuan Xie; Fucheng Pan; Shi Jin
作者单位The Fourth Affiliated Hospital of China Medical University, Shenyang, China; Digital Factory Research Office, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China; University of Chinese Academy of Sciences, Beijing, China
Advanced risk management for a business-to-business and business-to-consumer service supply chain under information asymmetry with Stackelberg game
作者Andreas Se Ho Kugele; Biswajit Sarkar
作者单位Department of Industrial Engineering, Yonsei University, 50 Yonsei-ro, Sinchon-dong, Seodaemun-gu, Seoul 03722, South Korea; Department of Mathematics, Lovely Professional University, Phagwara, Punjab 144411, India; Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, Tamil Nadu 600077, India; Ribita Technology Private Limited, 21/2A Telipara Lane, 2nd Floor, Dhakuria, Kolkata 700031, West Bengal, India
Assisting mission-critical traffic flows with Active Queue Management in Industrial Internet of Things
作者Shuo Wang; Jonathan Kua; Jiong Jin; Yew Wee Wong; Prem Prakash Jayaraman; Zhibo Pang
作者单位School of Engineering, Swinburne University of Technology, Melbourne, VIC, 3122, Australia; School of Information Technology, Deakin University, Geelong, VIC, 3220, Australia; School of Science, Computing and Emerging Technologies, Swinburne University of Technology, Melbourne, VIC, 3122, Australia; School of Advanced Manufacturing and Robotics, Peking University, Beijing, China
A transferable deep kernel principal component analysis framework for industrial fault diagnosis under variable working conditions
作者Rui Wu; Yuchen Jiang; Zhenhua Wang; Jilun Tian
作者单位School of Astronautics, Harbin Institute of Technology & Department of Control Science and Engineering, China; School of Astronautics, Harbin Institute of Technology & the National Key Laboratory of Complex System Control and Intelligent Agent Cooperation, China
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