Results 181 to 190 of about 112,717 (277)
Automatic Determination of Quasicrystalline Patterns from Microscopy Images
This work introduces a user‐friendly machine learning tool to automatically extract and visualize quasicrystalline tiling patterns from atomically resolved microscopy images. It uses feature clustering, nearest‐neighbor analysis, and support vector machines. The method is broadly applicable to various quasicrystalline systems and is released as part of
Tano Kim Kender +2 more
wiley +1 more source
Machine Learning-Driven Multi-Objective Optimization of Bead Geometry and Energy Efficiency in Laser-Arc Hybrid Additive Manufacturing. [PDF]
Xia C, Zeng K, Ning J, Ding Y, Liu Y.
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
Enhanced confocal microscopy with physics-guided autoencoders via synthetic noise modeling. [PDF]
Ahmad Z +11 more
europepmc +1 more source
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz +4 more
wiley +1 more source
Multi-criteria selection of a synchronisation word for low-power IoT receivers based on the IQRF standard. [PDF]
Skula M +4 more
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source
Transformer-Based Nonlinear Blind Source Separation for Anti-Jamming in DSSS Satellite Communications. [PDF]
Sun X, Li C, Li J, Su Q.
europepmc +1 more source
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Explaining attractive and repulsive biases in the subjective visual vertical. [PDF]
Glasauer S, Medendorp WP.
europepmc +1 more source

