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
Nanoindentation Criteria for Combinatorial Thin Film Libraries
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
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
Effect of Laser Deoxidation on Adhesive‐Bonded Aluminum in an Oxygen‐Free Atmosphere
This study investigates laser ablation of aluminum under oxygen‐free conditions. The goal is to produce oxide‐free substrates that enable improved adhesive bonding with epoxy. Optimized laser parameters (90% overlap, 300 µJ) combined with oxide‐free substrates result in the highest tensile strength of the adhesive bond.
Sandra Gerland +5 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
A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour +5 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
Microstructure Evolution of a VMnFeCoNi High‐Entropy Alloy After Synthesis, Swaging, and Annealing
The synthesis and processing (rotary swaging and annealing) of the novel VMnFeCoNi alloy is investigated, alongside the estimation of the grain size effect on hardness. Analysis of a wide grain size range of recrystallized microstructures (12–210 µm) reveals a low annealing twin density.
Aditya Srinivasan Tirunilai +6 more
wiley +1 more source

