Results
eNauka >
Rezultati >
Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions
| Naziv: | Machine and deep learning methods for concrete strength Prediction: A bibliometric and content analysis review of research trends and future directions | Autori: | Kumar, Raman; Althaqafi, Essam; Krishna-Patro, S Gopal; Simic, Vladimir D   ; Babbar, Atul; Pamucar, Dragan S ; Singh, Sanjeev Kumar; Verma, Amit |
Godina: | 2024 | Publikacija: | APPLIED SOFT COMPUTING | ISSN: | 1568-4946 Applied Soft Computing Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 164 str. 111956-111956 | DOI: | 10.1016/j.asoc.2024.111956 | WoS-ID: | 001267393300001 | Scopus-ID: | 2-s2.0-85198386435 | URI: | https://enauka.gov.rs/handle/123456789/936829 | Projekat: | Deanship of Scientific Research at King Khalid University, Abha, Saudi Arabia [RGP2/563/44] | Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.