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Results: 232
Number of items: 232
  • Open Access
    Shi, Z., Ivankovic, V., Farshidi, S., Surbiryala, J., Zhou, H., & Zhao, Z. (2022). AWESOME: an auction and witness enhanced SLA model for decentralized cloud marketplaces. Journal of Cloud Computing, 11, Article 27. https://doi.org/10.1186/s13677-022-00292-8
  • Open Access
    Shi, Z., Zhou, H., de Laat, C., & Zhao, Z. (2022). A Bayesian game-enhanced auction model for federated cloud services using blockchain. Future Generation Computer Systems, 136, 49-66. https://doi.org/10.1016/j.future.2022.05.017
  • Open Access
    Farshidi, S., & Zhao, Z. (2022). An Adaptable Indexing Pipeline for Enriching Meta Information of Datasets from Heterogeneous Repositories. In J. Gama, T. Li, Y. Yu, E. Chen, Y. Zheng, & F. Teng (Eds.), Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022 : proceedings (Vol. II, pp. 472-484). (Lecture Notes in Computer Science; Vol. 13281), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-031-05936-0_37
  • Open Access
    Hoogenkamp, B., Farshidi, S., Xin, R., Shi, Z., Chen, P., & Zhao, Z. (2022). A Decentralized Service Control Framework for Decentralized Applications in Cloud Environments. In F. Montesi, G. A. Papadopoulos, & W. Zimmermann (Eds.), Service-Oriented and Cloud Computing: 9th IFIP WG 6.12 European Conference, ESOCC 2022, Wittenberg, Germany, March 22–24, 2022 : proceedings (pp. 65-73). (Lecture Notes in Computer Science; Vol. 13226). Springer. https://doi.org/10.1007/978-3-031-04718-3_4
  • Xiao, H., Li, P., Zeng, H., Liang, T., Jiang, W., & Zhao, Z. (2022). Metric learning‐based whole health indicator model for industrial robots. International Journal of Intelligent Systems, 37(11), 9508-9519. https://doi.org/10.1002/int.23008
  • Yuan, S., Wang, Y., Liang, T., Jiang, W., Lin, S., & Zhao, Z. (2022). Real‐time recognition and warning of mask wearing based on improved YOLOv5 R6.1. International Journal of Intelligent Systems, 37(11), 9309-9338. https://doi.org/10.1002/int.22994
  • Chen, P., Liu, H., Xin, R., Carval, T., Zhao, J., Xia, Y., & Zhao, Z. (2022). Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model. Computer Journal, 65(11), 2909-2925. https://doi.org/10.1093/comjnl/bxac085
  • Li, M., Su, J., Liu, H., Zhao, Z., Ouyang, X., & Zhou, H. (2022). The Extreme Counts: Modeling the Performance Uncertainty of Cloud Resources with Extreme Value Theory. In J. Troya, B. Medjahed, M. Piattini, L. Yao, P. Fernández, & A. Ruiz-Cortés (Eds.), Service-Oriented Computing: 20th International Conference, ICSOC 2022, Seville, Spain, November 29–December 2, 2022 : proceedings (pp. 498-512). (Lecture Notes in Computer Science; Vol. 13740). Springer. https://doi.org/10.1007/978-3-031-20984-0_35
  • Launet, L., del Amor, R., Colomer, A., Mosquera-Zamudio, A., Moscardó, A., Monteagudo, C., Zhao, Z., & Naranjo, V. (2022). Federating Unlabeled Samples: A Semi-supervised Collaborative Framework for Whole Slide Image Analysis. In H. Yin, D. Camacho, & P. Tino (Eds.), Intelligent Data Engineering and Automated Learning – IDEAL 2022: 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022 : proceedings (pp. 64-72). (Lecture Notes in Computer Science; Vol. 13756). Springer. https://doi.org/10.1007/978-3-031-21753-1_7
  • Open Access
    Liu, H., Xin, R., Chen, P., & Zhao, Z. (2022). Multi-Objective Robust Workflow Offloading in Edge-to-Cloud Continuum. In C. A. Ardagna, N. Atukorala, R. Buyya, C. K. Chang, R. N. Chang, E. Damiani, G. B. Dasgupta, F. Gagliardi, C. Hagleitner, D. Milojicic, T. M. H. Trong, R. Ward, F. Xhafa, & J. Zhang (Eds.), 2022 IEEE 15th International Conference on Cloud Computing (IEEE CLOUD 2022): proceedings : hybrid conference, Barcelona, Spain, 11-15 July 2022 (pp. 469-478). IEEE Computer Society. https://doi.org/10.1109/CLOUD55607.2022.00070
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