Amanote Research
Register
Sign In
Discover open access scientific publications
Search, annotate, share and cite publications
Publications by Silvestre T. Pinho
Application of Machine Learning to Predict the Multiaxial Strain-Sensing Response of CNT-polymer Composites
Carbon
Materials Science
Chemistry
Damage and Failure of Triaxial Braided Composites Under Multi-Axial Stress States
Composites Science and Technology
Composites
Engineering
Ceramics
Related publications
Modeling Electrical Percolation to Optimize the Electromechanical Properties of CNT/Polymer Composites in Highly Stretchable Fiber Strain Sensors
Scientific Reports
Multidisciplinary
Application of Machine Learning to Computer Graphics
IEEE Computer Graphics and Applications
Computer Graphics
Computer-Aided Design
Software
Applying Machine Learning to Nanoindentation Data of (Nano-) Enhanced Composites
Fibers
Mechanics of Materials
Civil
Structural Engineering
Biomaterials
Composites
Ceramics
The Application of Distributed Optical Strain Sensing to Measure the Strain Distribution of Ground Support Members
Facets
Multidisciplinary
Machine Learning to Predict Final Fire Size at the Time of Ignition
International Journal of Wildland Fire
Forestry
Ecology
Enhanced Thermoelectric Performance of CNT/P3HT Composites With Low CNT Content
RSC Advances
Chemistry
Chemical Engineering
Can Machine Learning Help Predict the Outcome of Asylum Adjudications?
A Machine Learning Approach to Predict Blastocyst Formation in Vitro
Fertility and Sterility
Gynecology
Reproductive Medicine
Obstetrics
Using Network Theory and Machine Learning to Predict El Niño
Earth System Dynamics
Earth
Planetary Sciences