Results 131 to 140 of about 19,201,385 (283)
MULTIFOCUS IMAGE FUSION USING CLOUD MODEL [PDF]
This paper proposes a multifocus image fusion algorithm based on cloud model. First, each source images are divided into overlapping image blocks of size (2N+1) × (2N+1) and then the mean and entropy of every image pixels over this neighborhood window ...
K. Kannan
doaj
Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba +5 more
wiley +1 more source
Multi-Focus Image Fusion Using Focal Area Extraction in a Large Quantity of Microscopic Images. [PDF]
Lee J +7 more
europepmc +1 more source
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +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
The Multi-Focus-Image-Fusion Method Based on Convolutional Neural Network and Sparse Representation. [PDF]
Wei B, Feng X, Wang K, Gao B.
europepmc +1 more source
New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare +5 more
wiley +1 more source
Multi-variate image analysis for detection of biomedical anomalies [PDF]
Multi-modal images are commonly used in the field of medicine for anomaly detection, for example CT/MRI images for tumour detection. Recently, thermal imaging has demonstrated its potential for detection of anomalies (e.g., water stress, disease) in ...
Raza, Shan-e-Ahmed
core
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ +19 more
wiley +1 more source
Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map. [PDF]
Shuvo MH +8 more
europepmc +1 more source

