
- Pin Ni, Yuming Li, Gangmin Li, and Victor Chang. 2021. A hybrid Siamese neural network for natural language inference in cyber-physical systems. ACM Trans Internet Technol 21, 2 (2021), 33, 25 pages. DOI:https://doi.org/10.1145/3418208Google Scholar
- M. Tanveer, Shilpa Sharma, and Khan Muhammad. Large scale least squares twin SVMs. ACM Trans Internet Technol 0, ja. DOI:https://doi.org/10.1145/3398379 Google Scholar
Digital Library
- Zhihan Lv and Amit Kumar Singh. 2021. Big data analysis of Internet of Things system. ACM Trans Internet Technol 21, 2 (2021), 28, 15 pages. DOI:https://doi.org/10.1145/3389250Google Scholar
- Chen Zhang, Zhuo Tang, Kenli Li, Jianzhong Yang, and Li Yang. 2021. A polishing robot force control system based on time series data in industrial Internet of Things. ACM Trans Internet Technol 21, 2 (2021), 34, 22 pages. DOI:https://doi.org/10.1145/3419469Google Scholar
- Yuyu Yin, Haoran Xu, Tingting Liang, Manman Chen, Honghao Gao, and Antonella Longo. 2021. Leveraging data augmentation for service QoS prediction in cyber-physical systems. ACM Trans Internet Technol 21, 2 (2021), 35, 25 pages. DOI:https://doi.org/10.1145/3425795Google Scholar
- Energy and SLA-driven MapReduce Job Scheduling Framework for Cloud-based Cyber-Physical Systems. 2021. ACM Transactions on Internet Technology 21, 2, Article 31 (May 2021), 1–24. https://doi.org/10.1145/3409772Google Scholar
- Product Quality Monitoring in Hydraulic Presses using a Minimal Sample of Sensor and Actuator Data. 2021. ACM Transactions on Internet Technology 21, 2, Article 37 (May 2021) , 1–23. https://doi.org/10.1145/3436238Google Scholar
- DataOps for Cyber-Physical Systems Governance: The Airport Passenger Flow Case. 2021. ACM Transactions on Internet Technology 21, 2, Article 36 (May 2021), 1–25. https://doi.org/10.1145/3432247Google Scholar
- Chun-Wei Tsai and Zhi-Yan Fang. 2021. An effective hyperparameter optimization algorithm for DNN to predict passengers at a metro station. ACM Trans Internet Technol 21, 2 (2021), 32, 24 pages. DOI:https://doi.org/10.1145/3410156Google Scholar
- Claudio Savaglio and Giancarlo Fortino. 2021. A simulation-driven methodology for IoT data mining based on edge computing. ACM Trans Internet Technol 21, 2 (2021), 30, 22 pages. DOI:https://doi.org/10.1145/3402444Google Scholar
Index Terms
(auto-classified)Introduction to the Special Section on Data Science for Cyber-Physical Systems
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