Heat treatment control technology of high-strength steel gears based on support vector machine. [PDF]
Wang Y+5 more
europepmc +1 more source
Classification of protein quaternary structure with support vector machine [PDF]
Shao‐Wu Zhang+4 more
openalex +1 more source
Computational Modeling of Reticular Materials: The Past, the Present, and the Future
Reticular materials are advanced materials with applications in emerging technologies. A thorough understanding of material properties at operating conditions is critical to accelerate the deployment at an industrial scale. Herein, the status of computational modeling of reticular materials is reviewed, supplemented with topical examples highlighting ...
Wim Temmerman+3 more
wiley +1 more source
Identifying network state-based Parkinson's disease subtypes using clustering and support vector machine models. [PDF]
Nguchu BA, Han Y, Wang Y, Shaw P.
europepmc +1 more source
Virtual examples for text classification with Support Vector Machines [PDF]
Manabu Sassano
openalex +1 more source
This work explores the MOF landscape to select a single, optimal candidate for successfully delivering cancer drugs (gemcitabine, paclitaxel, SN‐38) into tough pancreatic tumors. Machine learning and simulations guide this search, demonstrating colloidal stability, excellent biocompatibility, cellular uptake, and sustained release.
Francesca Melle+9 more
wiley +1 more source
Prediction of methane hydrate equilibrium in saline water solutions based on support vector machine and decision tree techniques. [PDF]
Hsu CY+10 more
europepmc +1 more source
Single‐layer magnetization switching with a small critical current density of ≈106 A cm−2 is demonstrated. The strong intrinsic spin Hall effect, causing the switching, is induced by the synergy of the inherent spin‐orbit coupling and the spontaneous oxygen octahedral rotation in SrRuO3.The findings highlight the immense potential for realizing ...
Hiroto Horiuchi+11 more
wiley +1 more source
Interpretable prognostic modeling for long-term survival of Type A aortic dissection patients using support vector machine algorithm. [PDF]
Cai H+7 more
europepmc +1 more source
Support Vector Machine for Spatial Feature Extraction andClassification of Remotely Sensed Imagery
openalex +2 more sources