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A Reliable Low-power and High Throughput Wireless Sensor Network Data Collection.

K. Lin, J. Liu, Y. Zhang, и P. Li. WCNC, стр. 1-7. IEEE, (2021)

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Yang Zhang

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Inferring causal molecular networks: empirical assessment through a community-based effortS. Hill, L. Heiser, T. Cokelaer, M. Unger, N. Nesser, D. Carlin, Y. Zhang, A. Sokolov, E. Paull, C. Wong и 163 other автор(ы). Nature Methods, 13 (4): 310--318 (22.02.2016)A Multi-scale SAR Scene Matching Algorithm Based on Compressed Contour Feature.S. Juan, C. Wei, и Z. Yang yang. ICIG (1), том 9217 из Lecture Notes in Computer Science, стр. 188-197. Springer, (2015)Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019Z. Liu, A. Pavao, Z. Xu, S. Escalera, F. Ferreira, I. Gyon, S. Hong, F. Hutter, R. Ji, J. Junior и 15 other автор(ы). IEEE Transactions on Pattern Analysis and Machine Intelligence, (2021)To appear.1,1′-Bi(2-naphthol-4,5-dicarboximide)s: blue emissive axially chiral scaffolds with aggregation-enhanced emission propertiesM. Chen, Y. Zhang, M. Vysotsky, J. Lindner, M. Li, M. Lin, и F. Würthner. Org. Chem. Front., 6 (22): 3731-3740 (октября 2019)An Electric Charge Model Based on the Energy Harvesting WSN.Y. Zhang, H. Gao, Y. Li, D. Jin, и J. Li. CWSN, том 984 из Communications in Computer and Information Science, стр. 157-165. Springer, (2018)A Binary Code Sequence Based Tracking Algorithm in Wireless Sensor Networks.Y. Zhang, Q. Ren, Y. Pan, и J. Li. ICA3PP (2), том 11945 из Lecture Notes in Computer Science, стр. 577-583. Springer, (2019)CompDrone: Towards Integrated Computational Model and Social Drone Based Wildfire Monitoring.M. Rashid, Y. Zhang, D. Zhang, и D. Wang. DCOSS, стр. 43-50. IEEE, (2020)Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA.X. Han, Z. Wang, J. Zhang, Q. Wen, W. Li, B. Tang, Q. Wang, Z. Feng, Y. Zhang, Y. Lu и 15 other автор(ы). CoRR, (2020)Efficient Beacon Collision Avoidance Mechanism Using Neighbor Tables at MAC Layer.K. Wang, W. Chen, J. Zhou, и Y. Zhang. QSHINE, том 199 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 396-405. Springer, (2016)Application of Multiobjective Genetic Programming to the Design of Robot Failure Recognition Systems.Y. Zhang, и P. Rockett. IEEE Trans Autom. Sci. Eng., 6 (2): 372-376 (2009)

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