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Volume 17, Issue 3 (October 2020)

Guest Editorial - Parallel Computing and Applications
Hong Shen, Hui Tian 2 and Yingpeng Sang
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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

Guest Editorial - Edge Computing
Honghao Gao, Yuyu Yin and Jung Yoon Kim
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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

Guest Editorial - Advances in Databases and Information Systems
Johann Gamper, Mirjana Ivanović and Robert Wrembel
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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

A New Model for Predicting the Attributes of Suspects
Chuyue Zhang, Xiaofan Zhao, Manchun Cai, Dawei Wang and Luzhe Cao
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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

An Improved Heuristic-Dynamic Programming Algorithm for Rectangular Cutting Problem
Aihua Yin, Chong Chen, Dongping Hu, Jianghai Huang and Fan Yang
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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

Energy-Efficient Non-linear K-barrier Coverage in Mobile Sensor Network
Zijing Ma, Shuangjuan Li, Longkun Guo and Guohua Wang
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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

Maximize Concurrent Data Flows in Multi-radio Multi-channel Wireless Mesh Networks
Zhanmao Cao, Qisong Huang and Chase Q. Wu
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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

An Improved MCB Localization Algorithm Based on Weighted RSSI and Motion Prediction
Chunyue Zhou, Hui Tian and Baitong Zhong
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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

VDRF: Sensing the Defect Information to Risk Level of Vehicle Recall based on Bert Communication Model
Xindong You, Jiangwei Ma, Yuwen Zhang, Xueqiang Lv and Junmei Han
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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

A Homomorphic-encryption-based Vertical Federated Learning Scheme for Rick Management
Wei Ou, Jianhuan Zeng, Zijun Guo, Wanqin Yan, Dingwan Liu and Stelios Fuentes
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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

A Novel Data-Driven Intelligent Computing Method for the Secure Control of a Benchmark Microgrid System
Shunjiang Wang, Yan Zhao, He Jiang, Rong Chen and Lina Cao
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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

A Recommendations Model with Multiaspect Awareness and Hierarchical User-Product Attention Mechanisms
Zhongqin Bi, Shuming Dou, Zhe liu and Yongbin Li
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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

A Study on the Development of a Light Scattering Particulate Matter Sensor and Monitoring System
Jun-hee Choi and Hyun-Sug Cho
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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

A Load Balancing Scheme for Gaming Server applying Reinforcement Learning in IoT
Hye-Young Kim and Jin-Sul Kim
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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

Graph Embedding Code Prediction Model Integrating Semantic Features
Kang Yang, Huiqun Yu, Guisheng Fan and Xingguang Yang
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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

Improving the Performance of Process Discovery Algorithms by Instance Selection
Mohammadreza Fani Sani, Sebastiaan J. van Zelst and Wil van der Aalst
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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

Crowd counting á la Bourdieu, Automated estimation of the number of people
Karolina Przybylek and Illia Shkroba
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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

Visual E-Commerce Values Filtering Framework with Spatial Database metric
M. Kopecky and P. Vojtas
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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