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Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings.

, , , and . BuildSys@SenSys, page 13-22. ACM, (2015)

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OptiState: State Estimation of Legged Robots using Gated Networks with Transformer-based Vision and Kalman Filtering., , , , , and . CoRR, (2024)Portable Queries Using the Brick Schema for Building Applications: Demo Abstract., , , , , , , , , and 6 other author(s). BuildSys@SenSys, page 219-220. ACM, (2016)Quiver: Using Control Perturbations to Increase the Observability of Sensor Data in Smart Buildings., , , , and . CoRR, (2016)Ember: energy management of batteryless event detection sensors with deep reinforcement learning., , , , and . SenSys, page 503-516. ACM, (2020)Data driven investigation of faults in HVAC systems with model, cluster and compare (MCC)., , , and . BuildSys@SenSys, page 50-59. ACM, (2014)Zodiac: Organizing Large Deployment of Sensors to Create Reusable Applications for Buildings., , , and . BuildSys@SenSys, page 13-22. ACM, (2015)Eagle: End-to-end Deep Reinforcement Learning based Autonomous Control of PTZ Cameras., , , and . IoTDI, page 144-157. ACM, (2023)Context-Aware Streaming Perception in Dynamic Environments., , , , , , , , , and 2 other author(s). ECCV (38), volume 13698 of Lecture Notes in Computer Science, page 621-638. Springer, (2022)A Novel Power Saving Strategy for Greening IEEE 802.11 Based Wireless Networks., , and . GLOBECOM, page 1-5. IEEE, (2010)Rule-based Policy Regularization for Reinforcement Learning-based Building Control., , , and . e-Energy, page 242-265. ACM, (2023)