Results 201 to 210 of about 157,516 (285)
Deep Learning for Image Watermarking: A Comprehensive Review and Analysis of Techniques, Challenges, and Applications. [PDF]
Bistroń M, Żurada JM, Piotrowski Z.
europepmc +1 more source
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie +3 more
wiley +1 more source
Contextual priority attention enables linear time sequence modeling in transformers. [PDF]
Khaled KB, Monticolo D.
europepmc +1 more source
Current Tracking Adaptive Control of Brushless DC Motors
In this paper, the current tracking for Brushless Direct Current motors is approached considering uncertainty in the parameters of the motor's model. An adaptive control scheme to compensate electrical parameters uncertainty is proposed without requiring any knowledge of the mechanical parameters.
Fernanda Ramos‐García +3 more
wiley +1 more source
Experimental investigation of al₂o₃ nanoparticle-enhanced natural ester oil as a biodegradable liquid dielectric for transformers. [PDF]
Marisargunam S +4 more
europepmc +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Enhancing peak demand forecasting with adaptive FastICA-transformer and entropy-based model customization. [PDF]
Saeed F, Aldera S, Alkhatib M.
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
An intelligent life prediction approach employing machine learning models for the power transformers. [PDF]
Nezami MM +8 more
europepmc +1 more source
Mesoporous bioactive glass nanoparticles (MBGNs) are investigated for bone regeneration given their remarkable structural and functional properties. MBGNs are functionalized with Mn and Cu and incorporated with quercetin, a natural flavonoid exhibiting antioxidant, anti‐inflammatory, and antimicrobial properties.
Giovanni Lo Bello +5 more
wiley +1 more source

