Reproduction of stacking fault energy calculations from literature with a semi‐automated large language model‐assisted extraction procedure: extraction of simulation protocol, atomistic structures, computational parameters, and reported results, ontology alignment, knowledge graph construction and, finally, recomputation forvalidation.
Sepideh Baghaee Ravari +5 more
wiley +1 more source
Cooperative Detection-Oriented Formation Design and Optimization of USV Swarms via an Improved Genetic Algorithm. [PDF]
Liang R, Li D, Sun H, Hong L.
europepmc +1 more source
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Research on Assembly Sequence Planning of Large Cruise Ship Cabins Based on Improved Genetic Algorithm. [PDF]
Ju L, Wu X, Zhao Y, Liu J, Liu K.
europepmc +1 more source
RETRACTED ARTICLE: Application of embedded computer and improved genetic algorithm in the strategy of community of human destiny: the development of artificial intelligence in the context of Covid-19. [PDF]
Liu Y, Zhang Y, Liu X.
europepmc +1 more source
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer +4 more
wiley +1 more source
Improved genetic algorithm based on greedy and simulated annealing ideas for vascular robot ordering strategy. [PDF]
Wang Z +5 more
europepmc +1 more source
The Path of Rural Industry Revitalization Based on Improved Genetic Algorithm in the Internet Era.
Duan Q, Rane D.
europepmc +1 more source
A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle +5 more
wiley +1 more source
Improved genetic algorithm based on bi-level co-evolution for coverage path planning in irregular region. [PDF]
Chen G +6 more
europepmc +1 more source

