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Generating Textual Adversarial Examples for Deep Learning Models: A Survey, , и . (2019)cite arxiv:1901.06796Comment: 18.ContextServ: Towards Model-Driven Development of Context-AwareWeb Services., , , , , , и . CoRR, (2018)Advances in context-aware mobile services., , , и . Personal and Ubiquitous Computing, 18 (5): 1027-1028 (2014)Complex Network-Based Web Service for Web-API Discovery., , , , и . ACSW, стр. 18:1-18:10. ACM, (2020)A Time-aware Trust Management Heuristic for the Internet of Vehicles., , , , и . TrustCom, стр. 1-8. IEEE, (2021)An Enhancement to Channel Access Mechanism for the IEEE 802.15.3C MillimeterWave (5G) Standard to Support Stringent QoS Requirements of IoT., , , и . IoTaaS, том 421 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 19-38. Springer, (2021)Learning From the Source Document: Unsupervised Abstractive Summarization., , , , , и . EMNLP (Findings), стр. 4194-4205. Association for Computational Linguistics, (2022)The 10 Research Topics in the Internet of Things., , , , , , , , , и . CIC, стр. 34-43. IEEE, (2020)When Trust Meets the Internet of Vehicles: Opportunities, Challenges, and Future Prospects., , , , , , и . CIC, стр. 60-67. IEEE, (2021)A Behavioural Network Traffic Novelty Detection for the Internet of Things Infrastructures., , , , и . PAAP, том 1362 из Communications in Computer and Information Science, стр. 174-186. Springer, (2020)