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Inertial Navigation on Extremely Resource-Constrained Platforms: Methods, Opportunities and Challenges.

, , , , , and . PLANS, page 708-723. IEEE, (2023)

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Mango: A Python Library for Parallel Hyperparameter Tuning., , , and . ICASSP, page 3987-3991. IEEE, (2020)Complex Event Processing of Health Data in Real-time to Predict Heart Failure Risk and Stress., , and . CoRR, (2017)Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays., , , , and . CoRL, volume 155 of Proceedings of Machine Learning Research, page 1066-1083. PMLR, (2020)Time Awareness in Deep Learning-Based Multimodal Fusion Across Smartphone Platforms., , , and . IoTDI, page 149-156. IEEE, (2020)Building an Open, Multi-Sensor, Dataset of Water Pollution of Ganga Basin and Application to Assess Impact of Large Religious Gatherings., , , , , and . PerCom Workshops, page 1-6. IEEE, (2020)Learning-enabled Cyber-Physical Systems: Challenges and Strategies. University of California, Los Angeles, USA, (2022)Enabling Hyperparameter Tuning of Machine Learning Classifiers in Production., , , and . CogMI, page 262-271. IEEE, (2021)DDFLOW visualized declarative programming for heterogeneous IoT networks on Heliot testbed platform: demo abstract., , , and . IoTDI, page 287-288. ACM, (2019)Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras., , , and . IoTDI, page 144-157. ACM, (2023)DARTS: Distributed IoT Architecture for Real-Time, Resilient and AI-Compressed Workflows., , , , , , , , , and 3 other author(s). ApPLIED@PODC, page 15-23. ACM, (2022)