A novel approach to managing uncertainty in risk assessment using integrated z-numbers and intuitionistic fuzzy sets: A case study on LPG spherical tanks. [PDF]
Aliabadi MM +3 more
europepmc +1 more source
Resistant Peanut Genotype Reprograms Rhizosphere Metabolism to Enhance Bacterial Wilt Suppression
The resistant peanut genotype selectively recruits beneficial bacteria, which coincides with the activation of salicylic acid (SA)‐dependent systemic acquired resistance (SAR) against Ralstonia solanacearum. Keystone rhizosphere metabolites are positively correlated with both beneficial microbiome assembly and SAR gene expression.
Rui Ren +20 more
wiley +1 more source
Revolutionizing nanosatellites' data integrity with SEEnet: A real-time ensemble learning approach for Single-Event Effect (SEE) prediction. [PDF]
Karim S +5 more
europepmc +1 more source
A machine learning‐assisted framework optimizes the KCl‐CaCl2‐LiCl ternary electrolyte. The optimized 13:35:52 mol% composition enables Ca‐based liquid metal batteries to operate stably at 480 °C, with >99.5% coulombic efficiency, ultralow self‐discharge, and excellent cycling stability, advancing low‐temperature large‐scale energy storage.
Xinglin Zhou +3 more
wiley +1 more source
An evolutionary weighted feature influence factor feature selection method for fault detection in the Tennessee Eastman complex chemical process. [PDF]
Li D, Xue Y, Fu J, Tan T, Yang Y, Nie J.
europepmc +1 more source
Joint processing technology of laser radar and optical image for power distribution. [PDF]
Liu L, Chen Z, Huo Z, Feng H, Lv Y.
europepmc +1 more source
An optimized ensemble framework for machinery fault detection in IoT environments. [PDF]
Devi Gayadri SV +3 more
europepmc +1 more source
Marine diesel engine reliable intelligent fault diagnosis method based on the generalized multi-source information fusion. [PDF]
Xie Z, Mo C, Jia B.
europepmc +1 more source
A brain-inspired ISMO-PNN framework for neurally-grounded bearing fault diagnosis. [PDF]
Zhang F, Zhang B.
europepmc +1 more source
Real-World Airborne Sound Analysis for Health Monitoring of Bearings in Railway Vehicles. [PDF]
Kreuzer M +3 more
europepmc +1 more source

