Results 181 to 190 of about 878 (261)
SLCCC-Net: Hybrid steganography and AI system for secure cancer classification from histopathological images in internet of medical things applications. [PDF]
Swetha M, Godi AR.
europepmc +1 more source
Fostering Innovation: Streamlining Magnetocaloric Materials Research by Digitalization
Magnetocaloric cooling (MCE) is an environmentally friendly refrigeration method with great potential. Optimizing MCE materials involves the preparation and screening of large quantities of samples, which in turn generates a large amount of data. A digitalization approach is presented that uses ontologies, knowledge graphs, and digital workflows to ...
Simon Bekemeier +17 more
wiley +1 more source
Visually meaningful image encryption using convolution neural networks. [PDF]
Himthani V, Hemrajani P, Kumar A.
europepmc +1 more source
Multimodal Data‐Driven Microstructure Characterization
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang +4 more
wiley +1 more source
A Model and Quantitative Framework for Evaluating Iterative Steganography. [PDF]
Pery M, Waszkowski R.
europepmc +1 more source
On Practical Aspects of Network Steganography
Jakub Oravec +2 more
openaire +1 more source
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang +2 more
wiley +1 more source
ReFaceX: donor-driven reversible face anonymisation with detached recovery. [PDF]
Muhammad D +3 more
europepmc +1 more source
The PRIMA Thesaurus for Materials Science and Engineering
The PRIMA Thesaurus is a structured vocabulary designed to improve how materials science data is described and shared. Developed with input from multiple experts, it enables clear documentation of research workflows, data exchange, and reuse across platforms.
Rossella Aversa +8 more
wiley +1 more source
A deep learning-driven multi-layered steganographic approach for enhanced data security. [PDF]
Sanjalawe Y +4 more
europepmc +1 more source

