Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
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Data-driven modeling uncovers dynamic genome folding in three dimensions
Chromosomes are masters of organization. These long strings of DNA fold down into an ensemble of compact structures that keep needed parts of the genome accessible while tucking away those that aren't ...
Microbiome sequencing data are known to be biased; the measured taxa relative abundances can be systematically distorted from their true values at every step in the experimental/analysis workflow. If ...
Abstract: This article proposes a data-driven linear parameter variation model predictive control (DDLPVMPC) method for unknown nonlinear (NL) systems. The approach eliminates reliance on prior ...
Abstract: This study focuses on the model reference adaptive tracking control problem for uncertain switched systems using a dynamic event-triggered approach. Compared with the existing studies, the ...
You will be redirected to our submission process. Understanding human behavior and cognition remains one of the most compelling challenges in neuroscience. Despite significant advances, non-invasive ...
🚀 KQ-LMPC is the fastest open-source Koopman MPC controller for quadrotors: zero training data, fully explainable, hardware-proven SE(3) control. ⚡ Real-time convex MPC (<10 ms) • Stability ...
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