The linear regression model to evaluate material moisture using reflectometric technique
Journal of Physics: Conference Series, ISSN: 1742-6596, Vol: 2628, Issue: 1
2023
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Conference Paper Description
The paper presents the linear regression model of moisture detection technique in the building material (clinker brick). In particular, the assumptions of linear regression model, which play very important role, are emphasized. The obtained data present the dependence between the moisture of clinker brick, evaluated gravimetrically and permittivity values determined by TDR technique. Using the achieved data, the optimal regression model is obtained and the advantages of applying the linear regression model are discussed.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85179558667&origin=inward; http://dx.doi.org/10.1088/1742-6596/2628/1/012007; https://iopscience.iop.org/article/10.1088/1742-6596/2628/1/012007; https://dx.doi.org/10.1088/1742-6596/2628/1/012007; https://validate.perfdrive.com/9730847aceed30627ebd520e46ee70b2/?ssa=fbe19519-fc1e-481c-9f44-b6cafe9d45b3&ssb=46079200319&ssc=https%3A%2F%2Fiopscience.iop.org%2Farticle%2F10.1088%2F1742-6596%2F2628%2F1%2F012007&ssi=46ff4f30-cnvj-4385-a475-c1e0948eb619&ssk=botmanager_support@radware.com&ssm=062172461802529666274488980144236304&ssn=d8e4434d66d90af40a286b13f920b9f6de690900c3c4-8990-4f21-a91408&sso=3f5f0f8c-bc564dd29dea8da88c262d18852abdfa40a4d16d6da0fd69&ssp=06753778191726538564172692691683833&ssq=93130181417911255465329239289810785732314&ssr=NTIuMy4yMTcuMjU0&sst=com.plumanalytics&ssu=&ssv=&ssw=&ssx=eyJyZCI6ImlvcC5vcmciLCJfX3V6bWYiOiI3ZjYwMDBkNzYzNGE3Ni05ZTRkLTRjMmMtYjJhMC1mYzAzNGMyZjE1MjkxNzI2NTI5MjM5NDUzMzg0OTQwMzg2LWI0ZTE3YzkzZmJlZGYzNzY2MjczMDEiLCJ1em14IjoiN2Y5MDAwMGMxZDc2YmItMzk2MS00N2VjLTlkZGItNjdmYTVhZTY2ODdlNi0xNzI2NTI5MjM5NDUzMzg0OTQwMzg2LTA3YzhhNzUzZDlkODRlY2Y2MjcyMzgifQ==
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