Results 231 to 240 of about 1,011,171 (338)

Identifying network state-based Parkinson's disease subtypes using clustering and support vector machine models. [PDF]

Front Psychiatry
Nguchu BA, Han Y, Wang Y, Shaw P.
europepmc   +1 more source

Nanostructured Protein Surfaces Inspired by Spider Silk

Advanced Materials, EarlyView.
Harnessing recombinant spider silk technology, bioengineered spidroin variants enable the creation of functionalized nanostructured coatings with tunable affinity for specific targets, supporting a broad range of applications ‐ from antifouling surfaces and targeted drug delivery to advanced cell therapies and precision bio‐patterning via lithography ...
Martin Humenik, Thomas Scheibel
wiley   +1 more source

Development and validation of an early predictive model for hemiplegic shoulder pain: a comparative study of logistic regression, support vector machine, and random forest. [PDF]

Front Neurol
Wu Q, Zhang F, Fei Y, Sima Z, Gong S, Tong Q, Jiao Q, Wu H, Gong J.   +8 more
europepmc   +1 more source

Additively Manufacturable High‐Strength Aluminum Alloys with Coarsening‐Resistant Microstructures Achieved via Rapid Solidification

Advanced Materials, EarlyView.
Rapid solidification in laser additive manufacturing facilitates the precipitation of metastable phases in aluminum alloys. These metastable phases significantly enhance the strength by forming a high‐volume fraction of precipitates with an order of magnitude reduced sizes and smaller interspacing, effectively impeding dislocation motion. Consequestly,
S. Mohadeseh Taheri‐Mousavi, Michael Xu, Florian Hengsbach, Clay Houser, Zhaoxuan Ge, Benjamin Glaser, Shaolou Wei, Mirko Schaper, James M. LeBeau, Greg B. Olson, A. John Hart   +10 more
wiley   +1 more source

Prediction of Protein Essentiality by the Support Vector Machine with Statistical Tests

Evolutionary Bioinformatics, 2013
Chiou-Ting Tseng, Chiou-Yi Hor, Chang-Biau Yang, Zih-Jie Yang   +3 more
doaj  

Prediction of methane hydrate equilibrium in saline water solutions based on support vector machine and decision tree techniques. [PDF]

Sci Rep
Hsu CY, Buñay Guaman JS, Ved A, Yadav A, Ezhilarasan G, Rameshbabu A, Alkhayyat A, Aulakh D, Choudhury S, Sunori SK, Ranjbar F.   +10 more
europepmc   +1 more source

The First Review on Nano‐Agricultural Applications of MXene and MBene‐Based Materials for Plant‐Immunoengineering, Controlled Protection, and Inducing Biostimulation Mechanisms

Advanced Materials, EarlyView.
MXene and MBene nanomaterials show significant potential in addressing critical challenges in biomedicine, applied biology, agriculture, and the environment. From a nano‐agricultural perspective, this relatively young field has witnessed emerging advances towards applications for plant‐immunoengineering, biostimulation, and controlled delivery ...
Alireza Rafieerad, Ahmad Amiri, Maik Böhmer, Soofia Khanahmadi   +3 more
wiley   +1 more source

Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study.

JMIR Cancer
Xu MQ, Jiang ZS, Liao WY, Kang Y, Feng XY, Jiang K, Jiang Q, Cong ZZ, Luo J, Wu L, Shen Y, Wang FY.   +11 more
europepmc   +1 more source

One size does not fit all: a support vector machine exploration of multiclass cognitive state classifications using physiological measures. [PDF]

Front Neuroergon
Vogl J, O'Brien K, St Onge P.
europepmc   +1 more source