Results 211 to 220 of about 9,428,499 (297)
AQF-Net: Adaptive query modeling and efficient feature fusion for UAV tiny-object detection. [PDF]
He Y, Tang Y, Xiao R, Pang Y.
europepmc +1 more source
A unified research data management framework for heterogeneous materials data is presented. The system integrates multimodal datasets using ontologies and knowledge graphs, enabling interoperability and FAIR (findable, accessible, interoperable, reusable) data principles. By linking data across scales and workflows, it supports reproducible, Artifitial
Doaa Mohamed +6 more
wiley +1 more source
A two-stage deep learning framework with progressive feature fusion and attention mechanisms for multi-class retinal disease classification. [PDF]
Vijayan M, Veerapu G, J S N.
europepmc +1 more source
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
Foundation Models for Remote Sensing Semantic Segmentation: A Review of Architectures, Adaptations, and Prospects. [PDF]
Deng M, Chen Y, Ding G, Li S, Xie X.
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
FD-YOLO-Skin: frequency-domain enhanced YOLO for single-class skin lesion detection. [PDF]
Zhang S, Zeng X.
europepmc +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
Cardiovascular Disease Risk Assessment from Retinal Fundus Images Using a CSP-ConvNext Model. [PDF]
Jaganathan D +3 more
europepmc +1 more source

