Results 181 to 190 of about 788,437 (264)
This work introduces an adaptive human pilot model that captures pilot time‐delay effects in adaptive control systems. The model enables the prediction of pilot–controller interactions, facilitating safer integration and improved design of adaptive controllers for piloted applications.
Abdullah Habboush, Yildiray Yildiz
wiley +1 more source
Residual learning based convolution neural network for improved channel estimation for VehA channel. [PDF]
Khichar S +5 more
europepmc +1 more source
Skin Lesion Classification Using Densely Connected Convolutional Networks with Attention Residual Learning. [PDF]
Wu J, Hu W, Wen Y, Tu W, Liu X.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. [PDF]
Ullah S, Siddique MF, Kim JM.
europepmc +1 more source
The documentation of component manufacture has become an essential part of today's production processes, especially for the analysis and optimization of production or component design with regard to structural performance, economic efficiency, and sustainability.
Björn Denker +4 more
wiley +1 more source
A lightweight anomaly detection model for network traffic using multi scale spatio temporal residual learning. [PDF]
Yao W, Lin W.
europepmc +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
RA-Net: reverse attention for generalizing residual learning. [PDF]
Wang Z, Xie X, Yang J, Song X.
europepmc +1 more source

