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Fine-grained ultrasound range finding for mobile devices: Sensing way beyond the 24 kHz limit of built-in microphones., , , и . INFOCOM Workshops, стр. 845-850. IEEE, (2017)Mobile Aerosol Lidar for Earth Observation Atmospheric Correction., , , , , , и . IGARSS, стр. 1126-1129. IEEE, (2006)I Can Hear More: Pushing the Limit of Ultrasound Sensing on Off-the-Shelf Mobile Devices., , , и . INFOCOM, стр. 2015-2023. IEEE, (2018)Progressive image transmission using a self-supervised back-propagation neural network., , и . J. Electronic Imaging, 1 (1): 88-94 (1992)AP-Assisted Online Task Assignment Algorithms for Mobile Crowdsensing., , , , и . Mob. Networks Appl., 25 (5): 1694-1707 (2020)A comprehensive evaluation of various sensitivity analysis methods: A case study with a hydrological model., , , , , , , , и . Environ. Model. Softw., (2014)Task Assignment in Mobile Crowdsensing: Present and Future Directions., , и . IEEE Netw., 32 (4): 100-107 (2018)Thermal Imbalance Among Paralleling Chips in Power Modules and the Impact From Traction Inverter System View., , , , , , , , , и . IEEE Trans. Ind. Electron., 70 (3): 2231-2240 (2023)Boundary Layer Height as Estimated from Radar Wind Profilers in Four Cities in China: Relative Contributions from Aerosols and Surface Features., , , , и . Remote. Sens., 12 (10): 1657 (2020)Bridge the Present and Future: A Cross-Layer Matching Game in Dynamic Cloud-Aided Mobile Edge Networks., , , , , , и . CoRR, (2023)