Maqola

Tribological Properties Assessment of Metallic Glasses Through a Genetic Algorithm-Optimized Machine Learning Model

Untung RahardjaArif SarıDepartment of Management Information Systems, Girne American University, Via Mersin 10, Kyrenia, North Cyprus, TurkeyAli AlsalamyCollege of Technical Engineering, Imam Ja’afar Al‐Sadiq University, Al‐Muthanna, 66002, IraqShavan AskarErbil Technical Engineering College, Erbil Polytechnic University, Erbīl, IraqAhmed AlawadiCollege of Technical Engineering, The Islamic University of Babylon, Babylon, IraqBarno AbdullaevaTashkent State Pedagogical University, Tashkent, Uzbekistan

Metals and Materials Internationaljournal2023en

ABI

Annotatsiya

Annotatsiya mavjud emas.

Mavzular

Metallic Glasses and Amorphous Alloys Phase-change materials and chalcogenides Cultural and Historical Studies

Identifikatorlar

DOI: 10.1007/s12540-023-01538-z

Iqtiboslar va manbalar

0 ta iqtibos69 ta foydalanilgan manba

Koʻrsatkichlar — AkademScholar · Tez orada