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The case for model-driven interpretability of delay-based congestion control protocols., , , , , , , and . CoRR, (2021)Learning Pollution Maps from Mobile Phone Images., , , and . IJCAI, page 5024-5030. ijcai.org, (2022)On the Utility of Occupancy Sensing for Managing HVAC Energy in Large Zones., , , , , and . e-Energy, page 219-220. ACM, (2015)Forecasting Sparse Traffic Congestion Patterns Using Message-Passing RNNS., , and . ICASSP, page 3772-3776. IEEE, (2020)Learning Congestion State For mmWave Channels., , , , , and . mmNets@MobiCom, page 19-25. ACM, (2019)ZEUS: An Experimental Toolkit for Evaluating Congestion Control Algorithms in 5G Environments., , , , , , and . CoRR, (2022)Solution ALCC: Migrating Congestion Control To The Application Layer In Cellular Networks., , , , , , and . J. Syst. Res., (March 2022)Channel Prediction over Irregular Terrains: Deep Autoencoder with Random Forest., , , , and . SPAWC, page 1-5. IEEE, (2022)The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications., , , , and . CoRR, (2018)Data-driven Solutions for Addressing Two Pressing Urban Sustainability Challenges: Air Pollution Reduction and Traffic Management.. New York University, USA, (2022)