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Compression of electrical code violation recognition data using the improved swinging door trending algorithm


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Alhamed, K. M., Iwendi, C., Dutta, A. K., Almutairi, B., Alsaghier, H., & Almotairi, S. (2022). Building construction based on video surveillance and deep reinforcement learning using smart grid power system. Computers and Electrical Engineering. Search in Google Scholar

Kong, P. Y. (2017). Cost efficient data aggregation point placement with interdependent communication and power networks in smart grid. IEEE transactions on smart grid. Search in Google Scholar

Wan, Y., Qin, J., Ma, Q., Fu, W., & Wang, S. (2022). Multi-agent drl-based data-driven approach for pevs charging/discharging scheduling in smart grid. Journal of the Franklin institute(4), 359. Search in Google Scholar

Qian, J., Cao, Z., Dong, X., Shen, J., & Ye, Y. (2020). Two secure and efficient lightweight data aggregation schemes for smart grid. IEEE Transactions on Smart Grid, PP(99), 1-1. Search in Google Scholar

An, B., Pardeep, K., & Andrew, M. (2018). Efficient and privacy-preserving data aggregation and dynamic billing in smart grid metering networks. Energies, 11(8), 2085. Search in Google Scholar

Zhang, X., Huang, C., Gu, D., Zhang, J., Xue, J., & Wang, H. (2022). Privacy-preserving statistical analysis over multi-dimensional aggregated data in edge computing-based smart grid systems. Journal of systems architecture(127-), 127. Search in Google Scholar

Zhang, Y. J. A., Schwefel, H. P., Mohsenian-Rad, H., Wietfeld, C., & Gharavi, H. (2020). Guest editorial special issue on communications and data analytics in smart grid. IEEE Journal on Selected Areas in Communications, 38(1), 1-4. Search in Google Scholar

Diovu, R. C., & Agee, J. T. (2018). Data aggregation in smart grid ami network for secure transfer of energy user-consumption data. International Journal of Engineering Research in Africa, 35, 108-124. Search in Google Scholar

Arya, G., Bagwari, A., & Chauhan, D. S. (2022). Performance analysis of deep learning-based routing protocol for an efficient data transmission in 5g wsn communication. IEEE Access(10-), 10. Search in Google Scholar

Wang, P., Jiang, J., Luo, H., Li, F., Sun, G., & Cui, S. (2017). The research of compression and generation of high-precision dynamic focusing delay data for ultrasound beamformer. Cluster Computing. Search in Google Scholar

Chowdhury, M. R., Tripathi, S., & De, S. (2020). Adaptive multivariate data compression in smart metering internet of things. IEEE Transactions on Industrial Informatics, PP(99), 1-1. Search in Google Scholar

Sujitha, B., Parvathy, V. S., Lydia, E. L., Rani, P., & Shankar, K. (2020). Optimal deep learning based image compression technique for data transmission on industrial internet of things applications. Transactions on Emerging Telecommunications Technologies(6), e3976. Search in Google Scholar

Tao, D., Di, S., Guo, H., Chen, Z., & Cappello, F. (2017). Z-checker: a framework for assessing lossy compression of scientific data. International Journal of High Performance Computing Applications, 33(12). Search in Google Scholar

Bando, K., Nakano, T., Morita, K., & Fuketa, M. (2019). Compression method of factor oracle by triple-array structures. International Journal of Performability Engineering. Search in Google Scholar

Salut, M. M., & Anderson, D. V. (2023). Tensor robust cur for compression and denoising of hyperspectral data. IEEE Access, 11, 77492-77505. Search in Google Scholar

Truffinet, O., Ammar, K., Nicolas Gérard Castaing, Argaud, J. P., & Bouriquet, B. (2023). An eim-based compression-extrapolation tool for efficient treatment of homogenized cross-section data. Annals of Nuclear Energy, 185, 109705-. Search in Google Scholar

Lee, S., Kim, K., Koo, G., Jeon, H., Annavaram, M., & Ro, W. W. (2017). Improving energy efficiency of gpus through data compression and compressed execution. IEEE Transactions on Computers. Search in Google Scholar

Corda, R., & Perra, C. (2020). Hologram domain data compression: performance of standard codecs and image quality assessment at different distances and perspectives. IEEE Transactions on Broadcasting, 66(2), 292-309. Search in Google Scholar

Yufu, L., Wenhui, L., Guangshuai, J., Heled, J., & Yuan, A. (2018). Data compression and vectorization of matrix multiplication on hxdsp. MATEC Web of Conferences, 173. Search in Google Scholar

Qu, X. Y., You, F., Zhang, F., Dong, J. G., & Zhang, Y. H. (2017). Traceability data compression sensing method for internet of things in big data environment. Boletin Tecnico/Technical Bulletin, 55(7), 389-394. Search in Google Scholar

Zhang, F., Cheng, L., Li, X., Sun, Y., Gao, W., & Zhao, W. (2015). Application of a real-time data compression and adapted protocol technique for wams. IEEE Transactions on Power Systems, 30(2), 653-662. Search in Google Scholar

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