Results 221 to 230 of about 452,378 (262)
Stimuli‐Responsive Supramolecular Biomaterials for Cancer Theranostics
The ultimate goal of cancer theranostics is to get imaging agents and therapeutic cargo to tumor sites when and where they are required. “Smart” systems should be developed. This review discusses the characteristics of physiological stimuli, types and action modes of external stimuli, construction approaches and working principles, as well as ...
Wenting Hu +4 more
wiley +1 more source
Cloud-Edge Collaborative Defect Detection Based on Efficient Yolo Networks and Incremental Learning. [PDF]
Lei Z, Zhang Y, Wang J, Zhou M.
europepmc +1 more source
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen +7 more
wiley +1 more source
Adapting nanopore sequencing basecalling models for modification detection via incremental learning and anomaly detection. [PDF]
Wang Z +7 more
europepmc +1 more source
UniMR, a training‐free framework for automated molecular recognition in STM images. By integrating adaptive feature selection with CLIP embeddings and Gaussian Mixture Modeling, UniMR achieves robust performance across diverse molecular systems and low‐resolution conditions.
Ziqiang Cao +10 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source
Adaptive recognition of machining features in sheet metal parts based on a graph class-incremental learning strategy. [PDF]
Ma L, Yang J.
europepmc +1 more source
Composition-Incremental Learning for Compositional Generalization [PDF]
Zhen Li +5 more
openalex +1 more source
Deformation Prediction of 4D‐Printed Active Composite Structures Based on Data Mining
A curvature‐driven sequence point generation (CSPG) algorithm based on data mining is proposed to predict the deformation of double‐layer voxelized composite structures of arbitrary lengths. In addition, the CSPG algorithm is applied to predict the deformation of 2D and 3D structures assembled from beam elements, and its effectiveness is validated ...
Mengtao Wang +6 more
wiley +1 more source

