Работы, цитирующие эту работу

Работ: 3

Работа: Applications of machine learning in friction stir welding: Prediction of joint properties, real-time control and tool failure diagnosis

1. Probing the impact of process variables in laser-welded aluminum alloys: A machine learning study

   Faouzi Didi, Harikumar Pallathadka, Sherzod Abdullaev +3

   СтатьяWelding Techniques and Residual StressesMaterials Today Communications2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.000727

2. An embedded machine learning strategy for analyzing interfacial characteristics in impact welding of dissimilar alloys

   Arif Sarı, Candra Zonyfar, Shavan Askar +3

   СтатьяWelding Techniques and Residual StressesComposite Interfaces2023Цитирований: 0

   ABIABI:AkademIndex/openalex/2023.article.001421

3. Waste-to-energy poly-generation scheme for hydrogen/freshwater/power/oxygen/heating capacity production; optimized by regression machine learning algorithms

   Qiuli Li, Yuchi Leng, Azher M. Abed +3

   СтатьяHybrid Renewable Energy SystemsProcess Safety and Environmental Protection2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.article.000660