Abstract: The objective of graph signal denoising is to extract a clean signal from a noisy dataset while maintaining the graph's inherent structure. Dealing with large-scale graphs introduce ...
Abstract: In modern power systems, with a growing integration of inverter-based resources, small-signal stability is becoming increasingly important. However, current practice in operation and ...
A reinforcement learning framework using Deep Q-Learning to optimize traffic signal timing at intersections. This system uses SUMO (Simulation of Urban MObility) to simulate traffic flow and a neural ...
Abstract: The security of smart contracts, a fundamental component of decentralized applications (dApps) on blockchain platforms, remains a critical concern due to the risk of severe financial losses ...
Abstract: A critically important application for physiological signal analysis lies in very early diagnosis and monitoring of potential medical conditions: among others, in cardiac dysfunction. This ...
Researchers have discovered a brain activity pattern that can predict which people with mild cognitive impairment are likely to develop Alzheimer’s disease. Using a noninvasive brain scanning ...
Abstract: Dynamic flexible job shop scheduling (DFJSS) problem is an important scenario in intelligent manufacturing domain with the requirement of real-time decision-making under complex constraints.
Abstract: As Industry 4.0 continues to advance, point cloud registration technology is extensively employed in scenarios such as collaborative defect detection in products and digital twin-assisted ...
Abstract: This paper investigates a GraphRAG framework that integrates knowledge graphs into the Retrieval-Augmented Generation (RAG) architecture to enhance networking applications. While RAG has ...
Abstract: In this paper, a probabilistic power flow (PPF) for unbalanced and distorted distribution systems based on the Point-Estimate Method (PEM) is proposed. The uncertainties of loads and ...
Abstract: The accurate prediction of traffic conditions is essential for effective and efficient traffic management and control. The dynamic and complex nature of traffic data, characterized by ...
Abstract: With the popularity of mobile devices and the increasing demand for indoor localization services, the localization of indoor mobile users is becoming more and more popular. However, many ...
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