This review examines intelligent microsystems fabricated via Fs‐laser two‐photon polymerization, covering design, fabrication compatibility, and actuation methods. It highlights applications in actuators, sensors, micromachines, and soft microrobots, while stressing advances in materials, structures, and system integration.
Chang‐Xu Li +4 more
wiley +1 more source
An advanced multi-attribute decision-making model for Urban transportation planning based on complex intuitionistic fuzzy sets with hierarchical parameters. [PDF]
Alballa T +4 more
europepmc +1 more source
A unified framework of information measures for complex linear Diophantine fuzzy sets with application to chronic kidney disease. [PDF]
Mustafa AW, Bashir Z, Ali J, Syam MI.
europepmc +1 more source
Fuzzy soft tensor based group decision making approach with application to heterogeneous wireless network evaluation. [PDF]
Bilal M, Chaoqian L, Popa IL.
europepmc +1 more source
Low‐Field MRI for Knee Imaging: Current Insights and Evidence From a Systematic Review
ABSTRACT Background Low‐field magnetic resonance imaging (MRI) has regained interest for musculoskeletal imaging due to advances in magnet design, hardware optimization, and artificial intelligence (AI)–based reconstruction, offering improved accessibility, patient comfort, and sustainability.
Switinder Singh Ghotra +3 more
wiley +1 more source
Bayesian and fuzzy hybrid standard setting for pass-fail decisions in clinical examinations. [PDF]
N Y +4 more
europepmc +1 more source
A reinforcement learning-enhanced fuzzy multi-objective equilibrium optimization framework for multiple sequence alignment. [PDF]
Hosseini H +2 more
europepmc +1 more source
An advanced fermatean fuzzy DoC MCDM architecture for comprehensive quantitative assessment of physical fitness competency across academic institutions. [PDF]
Xie L, Huo Y, Wang X.
europepmc +1 more source
SAC-Optimized Fuzzy Variable Admittance Control for Lead-Through Teaching of Collaborative Robots. [PDF]
Song Y, Ma G.
europepmc +1 more source
Solution of supply chain management problems using rough t spherical fuzzy set lower and upper approximation spaces. [PDF]
Zhao X, Zhou Y, Sun L.
europepmc +1 more source

