Enhancing topological index of calcium chloride network through feature selection methods exploration.

Autor: Javed S; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Ahmad S; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Sehar N; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Khalid S; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Siddiqui MK; Department of Mathematics, COMSATS University Islamabad, Lahore Campus, Lahore, Pakistan., Gegbe B; Department of Mathematics and Statistics, Njala University, Freetown, Sierra Leone. bgegbe@njala.edu.sl.
Jazyk: angličtina
Zdroj: Scientific reports [Sci Rep] 2024 Nov 12; Vol. 14 (1), pp. 27722. Date of Electronic Publication: 2024 Nov 12.
DOI: 10.1038/s41598-024-79040-8
Abstrakt: With the chemical formula CaCl 2 , calcium chloride is a salt as well as an inorganic material. At room temperature, it has the consistency of a white, crystalline solid and is very water-soluble. It can be created by neutralizing calcium hydroxide with hydrochloric acid. Calcium chloride is a solution with a large enthalpy change. It is extensively utilized in research facilities, manufacturing facilities, and pharmaceuticals, including all types of food-graded applications, the treatment of acute illnesses, packaging for drying tubes, dust controllers, and de-icing, among other uses. In this paper, firstly we compute the topological indices, coindices, and reverse indices of CaCl 2 . Further, we employ machine learning strategies to capture the best suitable set of indices for the proximity of the prediction of distinct physio-chemical properties of CaCl 2 . To strengthen the results, different regression techniques are implemented to predict HOF of CaCl 2 based on our features, and the most influential features were detected to verify our results.
Competing Interests: Declarations Competing interests The authors declare no competing interests.
(© 2024. The Author(s).)
Databáze: MEDLINE
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