Spatiotemporal Evolution Patterns and Intelligent Forecasting of Passenger Flow in Megacity High-Speed Rail Hubs: A Case ...
“I’m working on a Multi-Objective Bayesian Optimization (MOBO) problem involving a system with roughly 60 input parameters and around 30 performance evaluation metrics that we would ideally like to ...
Rauma Marine Constructions (RMC), together with its subsidiary RMC Defence Oy, is building four Pohjanmaa-class multi-role corvettes for the Finnish Navy as part of the Squadron 2020 project. The high ...
In International Conference on Evolutionary Multi-objective Optimization. DOI: 10.1007/978-981-96-3538-2_9 [arXiv] The paper introduces an acquisition function for finding the Pareto front of a ...
Abstract: In this paper, we present a novel multi-objective Bayesian optimization approach for tactile feedback transmission and reconstruction in the NFV-based tactile Internet (NFV-based TI). For ...
Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...
Using AI as a companion to browse the web or generate lifelike images and videos are a few of the features some people are starting to take for granted. Lately, I almost always search the web with AI ...
Sign up for the daily CJR newsletter. Objectivity hasn’t always been a cornerstone of journalism. American publishers first turned to objectivity in the early ...
Anomaly response in aerospace systems increasingly relies on multi-model analysis in digital twins to replicate the system’s behaviors and inform decisions. However, computer model calibration methods ...
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