Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
Abstract: Creating machine learning techniques to solve AC optimal power flow (ACOPF) problems in power systems requires datasets that are difficult to obtain, do not easily adjust to changing network ...
Abstract: Quantum networks are an actively researched and promising field, aiming to achieve efficient quantum information transmission by interconnecting quantum nodes. In large-scale quantum ...
This is an on-host agent that passively collects performance statistics related to various communication protocols of interest, beginning with TCP. The statistics can be published in an OpenTelemetry ...
Our method takes as input a front-view image, a natural-language navigation command with a system prompt, and the ego-vehicle states, and outputs an 8-waypoint future trajectory spanning 4 seconds ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback