Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
Maintaining adequate CBF is crucial for astronauts' cognitive function during long-duration microgravity, but real-time monitoring in space is ...
As renewable power rapidly reshapes global electricity systems, engineers face a growing challenge: how to operate increasingly complex grids with ...
ROS System, Hospital Drug Delivery Robot, Autonomous Localization, Path Planning, Navigation Simulation Cheng, B. and Zhang, B.Y. (2025) Research on Autonomous Localization and Navigation Simulation ...
A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...
WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, launched a hybrid quantum neural network structure (H-QNN) ...
Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever ...
Abstract: Nonlinear errors, caused by the gamma effect, are very common in a certain fringe projection system. Therefore, we propose a general self-correction algorithm to address this problem even in ...
Abstract: Dynamic nonlinear least square (DNLS) problems are usually encountered in modern engineering, which are challenging to solve due to time-delay errors and noise in practical applications with ...
Stress and poor sleep touch nearly everyone. A survey from the American Academy of Sleep Medicine found that 74% of Americans lose sleep from stress, 68% from anxiety, and 55% from depression. These ...
The integration of machine learning (ML) into the cattle industry is transforming the way health outcomes are predicted, offering unprecedented opportunities to improve animal welfare and production ...
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