Automated methodological approach using artificial intelligence and fuzzy inference for qualitative sustainable and economic assessment of buildings. [PDF]
Iqbal N, Noureldin M.
europepmc +1 more source
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
Research on Optimizing Forming Accuracy in Food 3D Printing Based on Temperature-Pressure Dual Closed-Loop Control. [PDF]
Wang J +6 more
europepmc +1 more source
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
Enhancing rotary dryer efficiency: Adjusting blower speed for optimal temperature stability in coffee bean drying. [PDF]
Syamsiana IN +5 more
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
AI-driven UAV with image processing algorithm for automatic visual inspection of aircraft external surface. [PDF]
Ali MAH +5 more
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
An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies. [PDF]
Ragab M.
europepmc +1 more source
A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation. [PDF]
Bilal M, Lucian-Popa I.
europepmc +1 more source

