Results 221 to 230 of about 46,421 (267)
When Does Machine Learning Add Value over Theory? Predicting API Solubility in Binary Mixtures with COSMO-RS and DOOIT2 Across Diverse and Homogeneous Systems. [PDF]
Przybyłek M +3 more
europepmc +1 more source
Antioxidant protein signatures in honey: botanical influence and proteomic variability. [PDF]
Čeksterytė V +4 more
europepmc +1 more source
Harnessing mmWave signals and machine learning for noninvasive taxonomic classification of insects. [PDF]
Antony L +5 more
europepmc +1 more source
Biomimetic liposomal co-delivery of quercetin and carnosine for enhanced transdermal penetration and NRF2/HES1-mediated antioxidant photoprotection. [PDF]
Xia X +8 more
europepmc +1 more source
Metastable phase diagram, mobility, and kinetic stability of amorphous mixtures of two mutually compatible APIs. [PDF]
Noor W +5 more
europepmc +1 more source
Querying APIs with SPARQL [PDF]
Abstract Although the amount of RDF data has been steadily increasing over the years, the majority of information on the Web is still residing in other formats, and is often not accessible to Semantic Web services. A lot of this data is available through APIs serving JSON documents. In this work we propose a way of extending SPARQL with the option to
Matthieu Mosser +4 more
openaire +2 more sources
Application Programming Interfaces (APIs) are critical to improve developer productivity: developers can reuse a significant amount of functionality instead of writing it themselves. The flip side of API popularity is that APIs are large and numerous: developers often spend significant time searching for the functionality they need. Worse, they may not
Romain Robbes +2 more
openaire +2 more sources

