Volume 17, Issue 3 (October 2020)


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Shen, H., 2, H. T., Sang, Y.: Guest Editorial - Parallel Computing and Applications. Computer Science and Information Systems, Vol. 17, No. 3, i–ii. (2020), https://doi.org/10.2298/CSIS200300iS


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Gao, H., Yin, Y., Kim, J. Y.: Guest Editorial - Edge Computing. Computer Science and Information Systems, Vol. 17, No. 3, iii–iv. (2020), https://doi.org/10.2298/CSIS200300iiiG


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Gamper, J., Ivanović, M., Wrembel, R.: Guest Editorial - Advances in Databases and Information Systems. Computer Science and Information Systems, Vol. 17, No. 3, v–vi. (2020), https://doi.org/10.2298/CSIS200300vG

Special Section: Parallel Computing and Applications


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Zhang, C., Zhao, X., Cai, M., Wang, D., Cao, L.: A New Model for Predicting the Attributes of Suspects. Computer Science and Information Systems, Vol. 17, No. 3, 705-715. (2020), https://doi.org/10.2298/CSIS200107016Z


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Yin, A., Chen, C., Hu, D., Huang, J., Yang, F.: An Improved Heuristic-Dynamic Programming Algorithm for Rectangular Cutting Problem. Computer Science and Information Systems, Vol. 17, No. 3, 717-735. (2020), https://doi.org/10.2298/CSIS200125017Y


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Ma, Z., Li, S., Guo, L., Wang, G.: Energy-Efficient Non-linear K-barrier Coverage in Mobile Sensor Network. Computer Science and Information Systems, Vol. 17, No. 3, 737–758. (2020), https://doi.org/10.2298/CSIS200205018M


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Cao, Z., Huang, Q., Wu, C. Q.: Maximize Concurrent Data Flows in Multi-radio Multi-channel Wireless Mesh Networks. Computer Science and Information Systems, Vol. 17, No. 3, 759–777. (2020), https://doi.org/10.2298/CSIS200216019C


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Zhou, C., Tian, H., Zhong, B.: An Improved MCB Localization Algorithm Based on Weighted RSSI and Motion Prediction. Computer Science and Information Systems, Vol. 17, No. 3, 779–794. (2020), https://doi.org/10.2298/CSIS200204020Z

Special Section: Edge Computing


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You, X., Ma, J., Zhang, Y., Lv, X., Han, J.: VDRF: Sensing the Defect Information to Risk Level of Vehicle Recall based on Bert Communication Model. Computer Science and Information Systems, Vol. 17, No. 3, 795–817. (2020), https://doi.org/10.2298/CSIS190903021Y


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Ou, W., Zeng, J., Guo, Z., Yan, W., Liu, D., Fuentes, S.: A Homomorphic-encryption-based Vertical Federated Learning Scheme for Rick Management. Computer Science and Information Systems, Vol. 17, No. 3, 819–834. (2020), https://doi.org/10.2298/CSIS190923022O


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Wang, S., Zhao, Y., Jiang, H., Chen, R., Cao, L.: A Novel Data-Driven Intelligent Computing Method for the Secure Control of a Benchmark Microgrid System. Computer Science and Information Systems, Vol. 17, No. 3, 835–848. (2020), https://doi.org/10.2298/CSIS190912023W


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Bi, Z., Dou, S., liu, Z., Li, Y.: A Recommendations Model with Multiaspect Awareness and Hierarchical User-Product Attention Mechanisms. Computer Science and Information Systems, Vol. 17, No. 3, 849–865. (2020), https://doi.org/10.2298/CSIS190925024B


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Choi, J., Cho, H.: A Study on the Development of a Light Scattering Particulate Matter Sensor and Monitoring System. Computer Science and Information Systems, Vol. 17, No. 3, 867–890. (2020), https://doi.org/10.2298/CSIS190905025C


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Kim, H., Kim, J.: A Load Balancing Scheme for Gaming Server applying Reinforcement Learning in IoT. Computer Science and Information Systems, Vol. 17, No. 3, 891–906. (2020), https://doi.org/10.2298/CSIS190917026K


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Yang, K., Yu, H., Fan, G., Yang, X.: Graph Embedding Code Prediction Model Integrating Semantic Features. Computer Science and Information Systems, Vol. 17, No. 3, 907–926. (2020), https://doi.org/10.2298/CSIS190908027Y

Special Section: Advances in Databases and Information Systems


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Sani, M. F., Zelst, S. J. v., Aalst, W. v. d.: Improving the Performance of Process Discovery Algorithms by Instance Selection. Computer Science and Information Systems, Vol. 17, No. 3, 927–958. (2020), https://doi.org/https://doi.org/10.2298/CSIS200127028S


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Przybylek, K., Shkroba, I.: Crowd counting á la Bourdieu, Automated estimation of the number of people. Computer Science and Information Systems, Vol. 17, No. 3, 959–982. (2020), https://doi.org/https://doi.org/10.2298/CSIS200115029P


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Kopecky, M., Vojtas, P.: Visual E-Commerce Values Filtering Framework with Spatial Database metric. Computer Science and Information Systems, Vol. 17, No. 3, 983–1006. (2020), https://doi.org/https://doi.org/10.2298/CSIS200115030K