If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...
Nonlinear optical microscopy enables intrinsic optical sectioning, label-free contrast, and deep-tissue imaging, and as such ...
BiGRU, a deep learning model that enhances data recovery in structural health monitoring, ensuring the reliability of bridge ...
The field of computational materials science has been profoundly transformed by integrating deep learning and other machine learning methodologies. These sophisticated data-driven approaches have ...
A new study reveals that hovering can be controlled by simple feedback, challenging previous theories of complex neural ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, proposed a Quantum Convolutional Neural Network (QCNN) based on hybrid quantum-classical learning and ...
From industrial robots to self-driving cars, engineers face a common problem: keeping machines steady and predictable. When ...
A research group from the University of Osaka, Zen University, and the University of Tokyo has mathematically uncovered the ...
NTT Research, Inc., a division of NTT (TYO: 9432), announced that its Physics and Informatics (PHI) Lab, working with Cornell University and Stanford University, has developed the world's first ...
Department of Mechanical Engineering, The University of Louisiana at Lafayette, Lafayette, LA, USA. The study of curvature in geometry and its relationship with differential equations is a central ...
Genome association analyses have been successful in identifying quantitative trait loci (QTLs) for pig body weights measured at a single age. However, when considering the whole weight trajectories ...
This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...