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Found 4 papers, 0 papers with code
Rapid Parameter Estimation for Extreme Mass Ratio Inspirals Using Machine Learning
Extreme-mass-ratio inspiral (EMRI) signals pose significant challenges in gravitational wave (GW) astronomy owing to their low-frequency nature and highly complex waveforms, which occupy a high-dimensional parameter space with numerous variables.
Application Research On Real-Time Perception Of Device Performance Status
In order to accurately identify the performance status of mobile devices and finely adjust the user experience, a real-time performance perception evaluation method based on TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) combined with entropy weighting method and time series model construction was studied.
Autoregressive GNN-ODE GRU Model for Network Dynamics
In this paper, we propose an Autoregressive GNN-ODE GRU Model (AGOG) to learn and capture the continuous network dynamics and realize predictions of node states at an arbitrary time in a data-driven manner.
RF-CHORD: Towards Deployable RFID Localization System for Logistics Network
RFID localization is considered the key enabler of automating the process of inventory tracking and management for high-performance logistic network.
