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Detecting Outlier Measurements Based on Graph Rigidity for Wireless Sensor Network Localization., , , , , и . IEEE Trans. Veh. Technol., 62 (1): 374-383 (2013)iStep: A Step-Aware Sampling Approach for Diffusion Profiling in Mobile Sensor Networks., , , , , и . IEEE Trans. Veh. Technol., 65 (10): 8616-8628 (2016)Forecasting influenza epidemics in Hong Kong using Google search queries data: A new integrated approach., , , и . Expert Syst. Appl., (2021)ACM China Council., и . Commun. ACM, 55 (4): 5 (2012)Mobility Increases Localizability: A Survey on Wireless Indoor Localization using Inertial Sensors., , , , , и . ACM Comput. Surv., 47 (3): 54:1-54:34 (2015)Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity., , , , , и . CoRR, (2018)Empowering LLM to use Smartphone for Intelligent Task Automation., , , , , , , , , и . CoRR, (2023)MOCUS: moving object counting using ultrasonic sensor networks., , , , , и . Int. J. Sens. Networks, 3 (1): 55-65 (2008)Illuminations and the revelations: lessons learned from GreenOrbs project development., , , , и . ACM SIGMOBILE Mob. Comput. Commun. Rev., 17 (4): 42-46 (2013)Beyond triangle inequality: Sifting noisy and outlier distance measurements for localization., , , и . ACM Trans. Sens. Networks, 9 (2): 26:1-26:20 (2013)