Hybrid Gradient Boosting Decision Tree to Accurately Compute Polyethylene Glycol Polymer Density.

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Title: Hybrid Gradient Boosting Decision Tree to Accurately Compute Polyethylene Glycol Polymer Density.
Authors: Li, Jianfeng1, lijianfeng@zhcpt.edu.cn, Ibrahim, Soud Khalil2, Jhala, Ramdevsinh3, Yadav, Anupama4, T, Ramachandran5, Shankhyan, Aman6, A, Karthikeyan7, Thatoi, Dhirendra Nath8, Albadr, Rafid Jihad9, Taher, Waam Mohammed10, Alwan, Mariem11, Jawad, Mahmood Jasem12, Mushtaq, Hiba13, Sherzod, Samim14, samimsherzod@gmail.com, Alam, Mohammad Mahtab15
Source: Polymers for Advanced Technologies; Jan2026, Vol. 37 Issue 1, p1-18, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 191184482
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Hybrid Gradient Boosting Decision Tree to Accurately Compute Polyethylene Glycol Polymer Density.
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  Data: <searchLink fieldCode="JN" term="%22Polymers+for+Advanced+Technologies%22">Polymers for Advanced Technologies</searchLink>; Jan2026, Vol. 37 Issue 1, p1-18, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=191184482
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        Value: 10.1002/pat.70455
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        Text: English
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        PageCount: 18
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              Text: Jan2026
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