The most common machine learning methods to predict ν<sub>s</sub>.

The most common machine learning methods to predict ν<sub>s</sub>.

<p>The most common machine learning methods to predict ν<sub>s</sub>.</p>

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Fahd Saeed Alakbari (10701871) (author)
مؤلفون آخرون:	Syed Mohammad Mahmood (9329464) (author), Mohammed Abdalla Ayoub (10701877) (author), Muhammad Jawad Khan (6909224) (author), Funsho Afolabi (20766320) (author), Mysara Eissa Mohyaldinn (10701874) (author), Ali Samer Muhsan (10701880) (author)
منشور في:	2025
الموضوعات:	Molecular Biology Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified static poisson ’ poisson &# 8217 namely fracture pressure essential property used >&# 957 ;</ petroleum engineering application existing methods lack common learning methods model &# 8217 machine learning model </ sub >) div >< p gpr model decreased >< sub xmlns proposed gpr approach proposed gpr model show incorrect relationships </ sub proposed methods proposed gpr gpr model petroleum calculations methods within accurate methods reliable model performing model proposed models xlink "> trend analysis significant improvement significant effect practical ranges physical behavior often determined high precision different countries determined based critical applications created based cost constraints cheaper alternatives built based best approach also compared accurately using 73 %. 26 %. 1691 datasets
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Cannot write session to /tmp/vufind_sessions/sess_ad94as37b80p0o0prp45rctkmr