Estimation of surface roughness for transparent superhydrophobic coating through image processing and machine learning
| العنوان: | Estimation of surface roughness for transparent superhydrophobic coating through image processing and machine learning |
|---|---|
| المؤلفون: | Amrita Hooda, M.S. Goyat, Adesh Kumar, Rajeev Gupta |
| المصدر: | Molecular Crystals and Liquid Crystals. 726:90-104 |
| بيانات النشر: | Informa UK Limited, 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Materials science, business.industry, k-means clustering, Image processing, 02 engineering and technology, General Chemistry, 010402 general chemistry, 021001 nanoscience & nanotechnology, Condensed Matter Physics, 01 natural sciences, Superhydrophobic coating, 0104 chemical sciences, Digital image processing, Surface roughness, Optoelectronics, General Materials Science, Current (fluid), 0210 nano-technology, business |
| الوصف: | In the current era, superhydrophobic surfaces/coatings have gained significant attention worldwide due to their exclusive features such as self-cleaning, anti-corrosion, anti-adhesion, anti-reflect... |
| تدمد: | 1563-5287 1542-1406 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::59d74bd74e047dbc94b92a76985e3de6 https://doi.org/10.1080/15421406.2021.1935162 |
| رقم الأكسشن: | edsair.doi...........59d74bd74e047dbc94b92a76985e3de6 |
| قاعدة البيانات: | OpenAIRE |
PDF full text from Publisher | تدمد: | 15635287 15421406 |
|---|