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Z-MAC: a hybrid MAC for wireless sensor networks., , , и . SenSys, стр. 90-101. ACM, (2005)WiFox: scaling WiFi performance for large audience environments., , and . CoNEXT, page 217-228. ACM, (2012)How much energy saving does topology control offer for wireless sensor networks? - A practical study., , , and . Comput. Commun., 30 (14-15): 2867-2879 (2007)Unsupervised Real-World Super Resolution with Cycle Generative Adversarial Network and Domain Discriminator., , , , , , , and . CVPR Workshops, page 1862-1871. Computer Vision Foundation / IEEE, (2020)NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results., , , , , , , , , and 53 other author(s). CVPR Workshops, page 2045-2057. Computer Vision Foundation / IEEE, (2020)FBRNN: feedback recurrent neural network for extreme image super-resolution., , , , , , , , and . CVPR Workshops, page 2021-2028. Computer Vision Foundation / IEEE, (2020)DRAND: Distributed Randomized TDMA Scheduling for Wireless Ad Hoc Networks., , , and . IEEE Trans. Mob. Comput., 8 (10): 1384-1396 (2009)DRAND: : distributed randomized TDMA scheduling for wireless ad-hoc networks., , , and . MobiHoc, page 190-201. ACM, (2006)Earthquake Event Classification Using Multitasking Deep Learning., , , , and . IEEE Geosci. Remote. Sens. Lett., 18 (7): 1149-1153 (2021)Convolutional Recurrent Neural Networks for Earthquake Epicentral Distance Estimation Using Single-Channel Seismic Waveform., , , , , and . IGARSS, page 6619-6622. IEEE, (2020)