WiCAU: Comprehensive Partial Adaptation with Uncertainty-aware for WiFi-based Cross-environment Activity Recognition

W Cui, K Wu, M Wu, X Li, Z Chen - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… employs a hybrid network that combines wavelet analysis with deep neural networks to …
(Comprehensive Adaptation with Uncertainty-aware), a novel approach for WiFibased HAR …

Uncertainty-aware Decision Making and Planning for ICV based on Asymmetric Driving Aggressiveness

W Hu, C Wang, Z Deng, Y Yang, Y Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
… theory, and the uncertainty-aware trajectory planning is developed … Meanwhile, the
uncertainty-aware decision making and … In other words, the mixed strategy Nash equilibrium …

Zero-Shot Uncertainty-Aware Deployment of Simulation Trained Policies on Real-World Robots

K Rana, V Dasagi, J Haviland, B Talbot… - arXiv preprint arXiv …, 2021 - arxiv.org
… BCF: Our proposed hybrid control strategy that combines uncertainty aware outputs from
the control prior and the learned RL policy. The agent was trained using SAC and Algorithm 1 …

Risk-aware path planning under uncertainty in dynamic environments

K Cai, C Wang, S Song, H Chen, MQH Meng - Journal of Intelligent & …, 2021 - Springer
… of the path primitive, we propose a sampling strategy that is capable of biasing the sampling
Uncertainty-aware path planning for navigation on road networks using augmented mdps. In…

An uncertainty-aware deep reinforcement learning framework for residential air conditioning energy management

C Lork, WT Li, Y Qin, Y Zhou, C Yuen, W Tushar… - Applied Energy, 2020 - Elsevier
… This work proposes a data-driven uncertainty-aware approach to control split-type inverter
ACs of residential buildings. First, information from similar AC and residential units are …

Uncertainty-aware deep learning architectures for highly dynamic air quality prediction

I Mokhtari, W Bechkit, H Rivano, MR Yaici - IEEE Access, 2021 - ieeexplore.ieee.org
… This need is even greater in emergency situations where real-time forecast maps are highly
required to set up crisis management strategies and evacuation models. In addition, these …

An Uncertainty-Aware Sparse Multi-Task Learning Method for Response Prediction and Sensor Placement

M Zhang, J Zhang, L Li, J Ding, B Li - Available at SSRN 4573776 - papers.ssrn.com
sensor placement. To ensure ease of interpretation, we introduce a hybrid penalty to select
sensors … The USMuRFS strategy circumvents the inclusion of all conceivable sensor locations …

Sensor Deployment Method Based on Faiw-DPSO in DASNs

N Xia, Y Hong, MS Khan, X Wen, H Du - IEEE Access, 2020 - ieeexplore.ieee.org
… a sensors locations mechanism used hybrid network by … This requires designing a heuristic
solution that can approach the … uncertaintyaware deployment algorithms for wireless sensor

Hybrid Multi-Sensor Navigation System with Uncertainty Correction for GNSS-Denied Environments

M Villalonga Torres, T Elmi Tabassum… - AIAA SCITECH 2024 …, 2024 - arc.aiaa.org
… with a camera and a barometer is adopted within the federated multisensor architecture. This
approach utilizes an error detection mechanism based on analysis of residual test statistics …

Efficient Uncertainty-Aware Collision Avoidance for Autonomous Driving Using Convolutions

C Zhang, X Wu, J Wang, M Song - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
… This approach improved our ability to manage environmental … The hybrid A* algorithm
is used for motion planning in this … The computational complexity of the hybrid A* algorithm …