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Generate realistic test data in Python fast. No dataset required
Learn the NumPy trick for generating synthetic data that actually behaves like real data.
What if that traffic associated with the daily commute could be put towards computing? It may sound like a stretch, but that is what researchers from Tohoku University have recently proposed, ...
Multi-Factorial Evolutionary Algorithm With Online Transfer Parameter Estimation (MFEA-II) in Python
This repository implement MFEA-II MFEA-II Official Matlab Version. Tested on MTSOO benchmark. This repo could be used as a template or starter code for conducting multitasking optimization on other ...
Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation
Abstract: The detection of anomalous behavior of an engineered system or its components is an important task for enhancing reliability, safety, and efficiency across various engineering applications.
Abstract: In this paper, we consider the leader-following consensus problem for a class of heterogeneous nonlinear discrete-time multi-agent systems (MASs) with unknown dynamics under network ...
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