Results 261 to 270 of about 199,571 (343)
A sequential deep learning framework is developed to model surface roughness progression in multi‐stage microneedle fabrication. Using real‐world experimental data from 3D printing, molding, and casting stages, an long short‐term memory‐based recurrent neural network captures the cumulative influence of geometric parameters and intermediate outputs ...
Abdollah Ahmadpour +5 more
wiley +1 more source
Modelling the effect of motivation on mental health components with fuzzy logic among elite athletes. [PDF]
Şenel AA, Adiloğulları GE, Şenel E.
europepmc +1 more source
Some Results on Godel Implication Operator over Bipolar Fuzzy Matrices
A. Anitha, T. Muthuraji
openalex +2 more sources
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Identification and prioritization of physiological and perceptual indicators for heat stress assessment in Iranian labor-intensive industries using Fuzzy Delphi and Fuzzy Analytic Hierarchy Process methods. [PDF]
Mousavi SM, Dehghan H, Yazdanirad S.
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Optimizing online teaching effectiveness in elementary education: Exploring multifaceted pathways based fsQCA analysis. [PDF]
Ma X.
europepmc +1 more source
Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source
A multi-method integrated weighting framework for biosafety risk assessment of infectious substances. [PDF]
Wu F, Li C, Bian Y, Li J, Tian J, Li Z.
europepmc +1 more source

