Chromatography Online

Sustainable Analytical Methods: The Challenge Is Assessing Methods Before and After Improvements

Uniform, globally accepted greenness metrics are positioned as essential; inconsistent scoring frameworks would erode ...

‘Extraction 3’ A Go This Summer As Chris Hemsworth Closes Deal To Return; Sam Hargrave Back To Direct As Idris Elba And Golshifteh Farahani Also Close Deals

EXCLUSIVE: Tyler Rake looks ready for his next mission. Sources tell Deadline that Chris Hemsworth has closed a deal to ...
EurekAlert!

FI-R model, a novel remote sensing method for fine-scale extraction of vegetation

Researchers from China developed the FI-R model, a novel flowering spectral index for the fine-scale extraction of ...
EurekAlert!

MILCAnet: A dominant feature attention framework for enhanced multimodal data analysis in depression detection

In the field of mental health research, accurately detecting depression is crucial. However, when handling multimodal ...
IEEE

Deep Feature Extraction Method for Automatic Classification and Processing of Accounting Information

Abstract: In the context of advancing intelligent accounting systems within the broader field of computational methods and data processing, this study focuses on overcoming critical limitations ...
Frontiers

Improved multi-scale divergence entropy combined with extreme learning machine classifier for rotating machinery fault recognition

As the core equipment in industrial production, rotating machinery bearings play a critical role. However, traditional feature extraction algorithms for vibration signals are susceptible to noise ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
Scientific Research Publishing

Qi, J., Gao, X. and Huang, N. (2020) Mechanical Fault Diagnosis of a High Voltage Circuit Breaker Based on High-Efficiency Time-Domain Feature Extraction with Entropy Features ...

ABSTRACT: This paper reviews fault identification and predictive maintenance techniques essential for the reliable operation of high-voltage power systems. The increasing integration of renewable ...