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Items where Author is "Wang, R"

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Number of items: 14.


Tu, Z, Xue, Y, Ren, P, Hao, F, Wang, R, Li, M, Zhang, JF, Ji, Z and Huang, R (2021) A Probability-based Strong Physical Unclonable Function with Strong Machine Learning Immunity. IEEE Electron Device Letters. ISSN 0741-3106

Tian, W, Xiang, X, Evers, SL, Ma, L, Wang, R, Qiu, X and Wang, H (2020) Rare Species Shift the Structure of Bacterial Communities Across Sphagnum Compartments in a Subalpine Peatland. Frontiers in Microbiology, 10. ISSN 1664-302X

Liu, L, Wang, R, Xie, C, Yang, P, Wang, F, Sudirman, S and Liu, W (2019) PestNet: An End-to-End Deep Learning Approach for Large-Scale Multi-Class Pest Detection and Classification. IEEE Access. ISSN 2169-3536

Wang, R, Nguyen, TT, Li, C, Jenkinson, I, Yang, Z and Kavakeb, S (2018) Optimising discrete dynamic berth allocations in seaports using a Levy Flight based meta-heuristic. Swarm and Evolutionary Computation, 44. pp. 1003-1017. ISSN 2210-6502

Wang, X, Qu, D, Li, K, Cheng, H, Das, SK, Huang, M, Wang, R and Chen, S (2017) A flexible and generalized framework for access network selection in heterogeneous wireless networks. Pervasive and Mobile Computing, 40. pp. 556-576. ISSN 1574-1192

Ha, C, Nguyen, TT, Bui, T and Wang, R (2017) An online packing heuristic for the three-dimensional container loading problem in dynamic environments and the Physical Internet. Lecture Notes in Computer Science, 10200. pp. 140-155. ISSN 0302-9743

Sudirman, S, Liu, L, Wang, R, Xie, C, Yang, P, Wang, F and Liu, W Deep Learning based Automatic Multi-Class Wild Pest Monitoring Approach using Hybrid Global and Local Activated Features with Stationary Trap Devices. IEEE Transactions on Industrial Informatics. ISSN 1551-3203 (Accepted)

Liu, X, Ren, P, Chen, H, Ji, Z, Liu, J, Wang, R, Zhang, JF and Huang, R Equiprobability-based Local Response Surface Method for High-Sigma Yield Estimation with Both High Accuracy and Efficiency. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. p. 1. ISSN 0278-0070 (Accepted)

Du, Y, Jing, L, Fang, H, Chen, H, Cai, Y, Wang, R, Zhang, JF and Ji, Z Exploring the impact of random telegraph noise-induced accuracy loss in Resistive RAM-based deep neural network. IEEE Transactions on Electron Devices, 67. ISSN 0018-9383 (Accepted)

Conference or Workshop Item

Gao, R, Mehedi, M, Chen, H, Wang, X, Zhang, JF, Lin, XL, He, ZY, Chen, YQ, Lei, DY, Huang, Y, En, YF, Ji, Z and Wang, R (2020) A fast and test-proven methodology of assessing RTN/fluctuation on deeply scaled nano pMOSFETs. In: 2020 IEEE International Reliability Physics Symposium (IRPS) . (2020 IEEE International Reliability Physics Symposium (IRPS), 28 April-30 May 2020, Dallas, TX, USA).

Kang, J, Yu, Z, Wu, L, Fang, Y, Wang, Z, Cai, Y, Ji, Z, Zhang, JF, Wang, R, Yang, Y and Huang, R (2017) Time-Dependent Variability in RRAM-based Analog Neuromorphic System for Pattern Recognition. In: Technical Digest of the IEEE International Electron Devices Meeting (IEDM), . (2017 International Electron Devices Meeting (IEDM),, 2nd-6th December 2017, San Fransisco, USA).

Ji, Z, Gao, R, Zhang, JF, Zhang, WD, Duan, M, Ren, P, Arimura, H, Wang, R and Franco, R (2016) Understanding charge traps for optimizing Si-passivated Ge nMOSFETs. In: 2016 IEEE Symposium on VLSI Technology . (Symposia on VLSI Technology and Circuits, 13th-17th June 2016, Hawaii, US).

Liu, L, Wang, R, Xie, C, Yang, P, Sudirman, S, Wang, F and Li, R Deep Learning based Automatic Approach using Hybrid Global and Local Activated Features towards Large-scale Multi-class Pest Monitoring. In: IEEE International Conference on Industrial Informatics, 22 July 2019 - 25 July 2019, Helnsinki, Finland. (Accepted)


Wang, R (2018) Berth Scheduling at Seaports: Meta-Heuristics and Simulation. Doctoral thesis, Liverpool John Moores University.

This list was generated on Thu Aug 11 01:00:02 2022 UTC.