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A Variation Aware Composition Model for Dynamic Web Service Environments.

, and . ICSOC, volume 11236 of Lecture Notes in Computer Science, page 694-713. Springer, (2018)

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A Variation Aware Composition Model for Dynamic Web Service Environments., and . ICSOC, volume 11236 of Lecture Notes in Computer Science, page 694-713. Springer, (2018)Algorithmic Strategies for Sensing-as-a-Service in the Internet-of-Things Era., and . UCC, page 387-390. IEEE Computer Society, (2015)A Scalable and Approximate Mechanism for Web Service Composition., , and . ICWS, page 9-16. IEEE Computer Society, (2015)QoS constrained Large Scale Web Service Composition using Abstraction Refinement., and . CoRR, (2016)QoS Constrained Large Scale Web Service Composition Using Abstraction Refinement., and . IEEE Trans. Serv. Comput., 13 (3): 529-544 (2020)QoS Value Prediction Using a Combination of Filtering Method and Neural Network Regression., and . ICSOC, volume 11895 of Lecture Notes in Computer Science, page 135-150. Springer, (2019)Demystifying Heart Failure with Mid-Range Ejection Fraction Using Machine Learning., and . CinC, page 1-4. IEEE, (2021)Demystifying Visual Features of Movie Posters for Multi-Label Genre Identification., , and . CoRR, (2023)FES: A Fast Efficient Scalable QoS Prediction Framework., , and . CoRR, (2021)A Scalable Architecture for Rule Engine Based Clinical Decision Support Systems., , and . MedInfo, volume 216 of Studies in Health Technology and Informatics, page 947. IOS Press, (2015)