Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
Статья

Application of hybrid gradient boosting machine to reliably predict rate of penetration

Jianing ZhangSchool of Software, Harbin Institute of Information Technology, Harbin, 150431, Heilongjiang, ChinaFarag M. A. AltalbawyDepartment of Chemistry, University College of Duba, University of Tabuk, Tabuk, Saudi ArabiaTarak VoraMarwadi University Research Center, Department of Civil Engineering, Faculty of Engineering & Technology, Marwadi University, Rajkot, Gujarat, IndiaR. ManjunathaDepartment of Data analytics and Mathematical Sciences, School of Sciences, JAIN (Deemed to be University), Bangalore, Karnataka, IndiaDebasish ShitCentre for Research Impact & Outcome, Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, 140401, Punjab, IndiaNargiza KamolovaDepartment of Chemistry and Its Teaching Methods, Tashkent State Pedagogical University, Tashkent, UzbekistanAkshay KumarDepartment of Mathematics, Graphic Era Hill University, Dehradun, IndiaAtreyi PramanikSchool of Applied and Life Sciences, Division of Research and Innovation, Uttaranchal University, Dehradun, UttarakhandAjay SharmaDepartment of Applied Sciences-Mathematics, NIMS Institute of Engineering & Technology, NIMS University Rajasthan, Jaipur, IndiaTamam Ali Abd Ulabbas AbediDepartment of computers Techniques engineering, College of technical engineering, The Islamic University of Al Diwaniyah, Al Diwaniyah, IraqAhmad AbumalekFaculty of Engineering, Balkh University, Balkh, AfghanistanMohammad Mahtab AlamCentral Labs, King Khalid University, AlQura'a, P.O. Box 960, Abha, Saudi ArabiaS. S. Hota
ABI

Аннотация

Аннотация отсутствует.

Темы

Идентификаторы

Цитирования и источники

Показатели — AkademScholar · Скоро