Results 251 to 260 of about 2,140,198 (316)
Enhancing UCSF Chimera through web services. [PDF]
Huang CC +4 more
europepmc +1 more source
A Proposed Compiler to Integrate Model Driven Architecture with Web Services Road Map
Mohammed Abdalla Osman Mukhtar +2 more
openalex +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Evidence based Access Control over Web Services using Multi Security
E. S. Shameem Sulthana, S. Kanmani
openalex +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
InterMine: extensive web services for modern biology. [PDF]
Kalderimis A +10 more
europepmc +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
A Methodology for the Development of RESTful Semantic Web Services for Gene Expression Analysis. [PDF]
Guardia GD +4 more
europepmc +1 more source
The Web Service Challenge - A review on Semantic Web Service Composition
Steffen Bleul, Thomas Weise, Kurt Geihs
openalex +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source

