Results 191 to 200 of about 722,005 (275)
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa +7 more
wiley +1 more source
ABSTRACT We present a hybrid interpretable Physics‐Informed Neural Network Long‐Short Term Memory (Hybrid PINN LSTM) framework for predicting the seismic response of rocking blocks. Existing analytical models rely on uncertain idealizations, while purely data‐driven and machine‐learning approaches lack physical consistency and interpretability.
Shirley Shen +1 more
wiley +1 more source
Experimental demonstration of tractor millimeter wave beam propulsion. [PDF]
Takahashi M +4 more
europepmc +1 more source
From Rhizosphere to Resistance: Microbe‐Plant Interactions in Eco‐Smart Biocontrol
Conceptual framework of eco‐smart biocontrol: Root exudates released by plants shape rhizosphere microbial community assembly by selectively recruiting beneficial microorganisms. These microbes suppress phytopathogens through direct mechanisms such as antibiosis, parasitism, enzyme production, and niche competition, while simultaneously activating ...
Shilpy Singh +5 more
wiley +1 more source
Welding Techniques for Magnesium Alloy Joints: A Comprehensive Review. [PDF]
Poliak M +6 more
europepmc +1 more source
A Branch‐and‐Price Algorithm for the Symmetric Electric Traveling Salesman Problem
ABSTRACT The Electric Traveling Salesman Problem (ETSP) is a variant of the well‐known TSP in which an electric vehicle must visit a set of customers minimizing the total cost of its route. The vehicle is assumed to be equipped with a battery of limited capacity that may need to be recharged along the route.
Alberto Ceselli +2 more
wiley +1 more source
ABSTRACT As a crucial puzzle piece of deep space exploration, exploring small bodies can provide significant scientific insights and valuable mineral resources. Unlike missions to the Moon and Mars, small‐body missions pose distinct technical challenges, including communication delays, weak gravity, and uncertain environments. This paper reviews a full
Xin Zhang +3 more
wiley +1 more source
Triboelectric Nanogenerators in Military: Recent Progress and Critical Challenges. [PDF]
Bao C, Ma X, He M, Yang L, Wang Y.
europepmc +1 more source
Fifty Years Later: Revisiting Viking 2 Seismic Signals Through InSight
Abstract For nearly 50 years, the origin of the candidate seismic signals recorded by Viking 2 remained unresolved because of limited instrumental sensitivity, onboard observation, data compression, and the absence of Martian seismic context. Here we reconstruct the Viking seismic workflow and reinterpret the two Viking candidate events, recorded on ...
Wanbo Xiao +3 more
wiley +1 more source
Deterministic segmentation of grains in dense Laue microdiffraction datasets
This work introduces a deterministic methodology for segmenting individual grain contributions from complex high‐density Laue microdiffraction datasets by leveraging spatial correlations and clustering of peak appearance maps.Although Laue microdiffraction is an essential non‐destructive technique for probing crystallographic orientation and strain at ...
Sergio Bongiorno +3 more
wiley +1 more source

