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Results: 58,357
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  • Abrams, L., & Ellis-Monaghan, J. A. (2022). New dualities from old: Generating geometric, Petrie, and Wilson dualities and trialities of ribbon graphs. Combinatorics Probability and Computing, 31(4), 574-597. https://doi.org/10.1017/S096354832100047X
  • Shimwell, T. W., Shulevski, A., Rowlinson, A., Vink, J., & LOFAR Collaboration (2022). The LOFAR Two-metre Sky Survey. V. Second data release. Astronomy & Astrophysics, 659, Article A1. https://doi.org/10.1051/0004-6361/202142484
  • Sheraton, V. M., & Ma, S. (2022). Exploring Ductal Carcinoma In-Situ to Invasive Ductal Carcinoma Transitions Using Energy Minimization Principles. In D. Groen, C. de Mulatier, M. Paszynski, V. V. Krzhizhanovskaya, J. J. Dongarra, & P. M. A. Sloot (Eds.), Computational Science - ICCS 2022: 22nd International Conference, London, UK, June 21–23, 2022 : proceedings (Vol. I, pp. 375-388). (Lecture Notes in Computer Science; Vol. 13350). Springer. https://doi.org/10.1007/978-3-031-08751-6_27
  • Ellis-Monaghan, J. A., & Moffatt, I. (2022). Preface. In J. A. Ellis-Monaghan, & I. Moffatt (Eds.), Handbook of the Tutte Polynomial and Related Topics (pp. xv). CRC Press. https://doi.org/10.1201/9780429161612
  • Ivankovic, V., Shi, Z., & Zhao, Z. (2022). A Customizable dApp Framework for User Interactions in Decentralized Service Marketplaces. In 2022 IEEE International Conference on Smart Internet of Things: IEEE SmartIoT 2022 : proceedings : 19-21 August 2022, Suzhou, China, hybrid conference (onsite and virtual) (pp. 224-231). IEEE Computer Society. https://doi.org/10.1109/SmartIoT55134.2022.00043
  • Kersbergen, B., Sprangers, O., & Schelter, S. (2022). Serenade - Low-Latency Session-Based Recommendation in e-Commerce at Scale. In SIGMOD '22: proceedings of the 2022 International Conference on the Management of Data : June 12-17, 2022, Philadelphia, PA, USA (pp. 150-159). Association for Computing Machinery. https://doi.org/10.1145/3514221.3517901
  • 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
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