Enhancing fault detection in new energy vehicles via novel ensemble approach. [PDF]
Akhtar I +7 more
europepmc +1 more source
Template effect and kinetic control enable crystal‐phase engineering of Ru nanocrystals, granting access to either metastable fcc‐Ru or stable hcp‐Ru with distinct surface structures, thermal stabilities, and catalytic behaviors. Moreover, the hcp‐Ru can further serve as an epitaxial template to direct Pd and Rh nanocrystals into the metastable hcp ...
Jianlong He +3 more
wiley +1 more source
Multi-sensor observer-based residual learning with Auto-Permutation Feature Importance for fault diagnosis of multistage centrifugal pumps under variable pressures. [PDF]
Ullah S, Siddique MF, Kim JM.
europepmc +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
MOSOF with NDCI: A Cross-Subsystem Evaluation of an Aircraft for an Airline Case Scenario. [PDF]
Suslu B, Ali F, Jennions IK.
europepmc +1 more source
Composition Restoration Enables Recycling of Mixed‐Cation, Mixed‐Halide Perovskites for Solar Cells
Compositional drift during processing prevents the direct recycling of mixed‐cation, mixed‐halide perovskites. This work introduces a framework to quantitatively audit and restore recovered materials, enabling closed‐loop recycling with efficiencies comparable to virgin perovskites.
Zhenni Wu +12 more
wiley +1 more source
Fault-induced detection method for power supply lines in the cutting unit of coal shearer based on PIO-VMD-EDO. [PDF]
Wang Y +6 more
europepmc +1 more source
Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification. [PDF]
Siddique MF, Umar M, Ahmad W, Kim JM.
europepmc +1 more source
A hybrid framework of hesitant fuzzy soft sets and rough sets for uncertainty modelling. [PDF]
Jahanvi, Nishad DK, Singh R, Khalid S.
europepmc +1 more source

