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Found 11 papers, 1 papers with code
Output contraction analysis of nonlinear systems
This paper introduce the notion of output contraction that expands the contraction notion to the time-varying nonlinear systems with output.
Contraction analysis of time-varying DAE systems via auxiliary ODE systems
The first result pertains to the equivalence of the contraction of a DAE system and the uniform global exponential stability (UGES) of its variational DAE system.
Learning for Semantic Knowledge Base-Guided Online Feature Transmission in Dynamic Channels
In this context, we address the problem of efficient remote object recognition by optimizing feature transmission between mobile devices and edge servers.
Leveraging Optical Communication Fiber and AI for Distributed Water Pipe Leak Detection
Detecting leaks in water networks is a costly challenge.
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers
Concretely, to avoid the ego-system overfitting to a specific attacker, we maintain a set of attackers, which is optimized to guarantee the attackers high attacking quality and behavior diversity.
A multi view multi stage and multi window framework for pulmonary artery segmentation from CT scans
In addition, in order to improve the segmentation performance, we adopt multi-view and multi-window level method, at the same time we employ a fine-tune strategy to mitigate the impact of inconsistent labeling.
Multi-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning
Meanwhile, a deep reinforcement learning channel access (DLCA) protocol is developed to replace the binary exponential backoff mechanism in DCF to enhance the network throughput by enabling the coordination of APs.
Model Generation with Provable Coverability for Offline Reinforcement Learning
Model-based offline optimization with dynamics-aware policy provides a new perspective for policy learning and out-of-distribution generalization, where the learned policy could adapt to different dynamics enumerated at the training stage.
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks
According to the proposed prior-aided iterative angle estimation algorithm, azimuth/elevation angles can be estimated, and these angles are adopted to achieve precise beam-alignment and refine GTTDU module for further eliminating delay-beam squint.
Information Theory Signal Processing Information Theory
Secret Key Generation for Intelligent Reflecting Surface Assisted Wireless Communication Networks
We propose and analyze secret key generation using intelligent reflecting surface (IRS) assisted wireless communication networks.
Higher-order clustering in networks
Here we introduce higher-order clustering coefficients that measure the closure probability of higher-order network cliques and provide a more comprehensive view of how the edges of complex networks cluster.
