Results 61 to 70 of about 7,354 (203)
Coal and gas outbursts represent one of the most severe safety hazards during the construction of gas‐bearing tunnels. Accurate risk prediction remains difficult because of complex geological conditions, limited sample sizes, and the inherent subjectivity in hazard classification.
Fangyin Wu +6 more
wiley +1 more source
New social and economic activities massively exploit big data and machine learning algorithms to do inference on people's lives. Applications include automatic curricula evaluation, wage determination, and risk assessment for credits and loans. Recently,
Camps-Valls, Gustau +5 more
core +1 more source
Determining the Particle Size of Pulverized Coal From Spectral Reflectivity Measurements
Pulverized coal is widely used in industrial energy supplies and chemical production. Its combustion efficiency and reactivity are closely related to its particle size distribution. Therefore, precise, fast, and reliable measurement methods are required to determine the particle size of pulverized coal.
Chengkun Wang +6 more
wiley +1 more source
The operational complexities of the elastic tooth drum pepper harvester (ETDPH), characterized by variable drum loads that are challenging to recognize due to varying pepper densities, significantly impact pepper loss rates and mechanical damage.
Xinyu Zhang +5 more
doaj +1 more source
Fault condition recognition of rolling bearing in bridge crane based on PSO–KPCA
When the rolling bearing in bridge crane gets out of order and often accompanies with occurrence of nonlinear behaviours, its fault information is weak and it is difficult to extract fault features and to distinguish diverse failure modes.
He Yan, Wang Zongyan
doaj +1 more source
Stratified Transfer Learning for Cross-domain Activity Recognition
In activity recognition, it is often expensive and time-consuming to acquire sufficient activity labels. To solve this problem, transfer learning leverages the labeled samples from the source domain to annotate the target domain which has few or none ...
Chen, Yiqiang +4 more
core +1 more source
Wind energy plays a pivotal role in the transition to sustainable power generation. However, maintaining the reliability and efficiency of wind turbine (WT) remains a significant challenge due to complex operational conditions and the high cost associated with unexpected failures.
Cristian Velandia-Cárdenas +3 more
wiley +1 more source
This study introduces an integrated machine learning framework combining predictive models, a guided multiobjective search strategy, and particle swarm optimization (PSO) to discover novel refractory high‐entropy alloys with exceptional yield strengths (1580–1740 MPa) and fracture strains (23%–27%), overcoming challenges of vast composition spaces and ...
Gang Xu +6 more
wiley +1 more source
Projection‐based estimators for matrix/tensor‐valued data
Abstract A general approach for extending estimators to matrix‐ and tensor‐valued data is proposed. The extension is based on using random projections to project out dimensions of a tensor and then computing a multivariate estimator for each projection. The mean of the obtained set of estimates is used as the final, joint estimate. In some basic cases,
Joni Virta +2 more
wiley +1 more source
Grouplet transform is a new directional wavelet. This wavelet can be transformed at any time and space,and adaptively change the basis according to image texture.
LI ZhiNong +3 more
doaj

