Search Results for author:
Found 7 papers, 2 papers with code
Recovery from Adversarial Attacks in Cyber-physical Systems: Shallow, Deep and Exploratory Works
Cyber-physical systems (CPS) have experienced rapid growth in recent decades.
Beamforming Design for Double-Active-RIS-aided Communication Systems with Inter-Excitation
Due to the signal amplification capability of active RISs, the mutual influence between active RISs, which is termed as the "inter-excitation" effect, cannot be ignored.
Joint Beamforming Design for Double Active RIS-assisted Radar-Communication Coexistence Systems
However, when radar and communication equipment coexist in the same system, i. e. radar-communication coexistence (RCC), the interference from communication systems to radar can be large and cannot be ignored.
Fulfilling Formal Specifications ASAP by Model-free Reinforcement Learning
We propose a model-free reinforcement learning solution, namely the ASAP-Phi framework, to encourage an agent to fulfill a formal specification ASAP.
Sparse Spatial Attention Network for Semantic Segmentation
The spatial attention mechanism captures long-range dependencies by aggregating global contextual information to each query location, which is beneficial for semantic segmentation.
Feature Pyramid Encoding Network for Real-time Semantic Segmentation
Although current deep learning methods have achieved impressive results for semantic segmentation, they incur high computational costs and have a huge number of parameters.
Cross Attention Network for Semantic Segmentation
Specifically, a shallow branch is used to preserve low-level spatial information and a deep branch is employed to extract high-level contextual features.
