February 28, 2024 article Development of a Machine Learning Model for Predicting the Compressive Strength of Practical 28-Day Cured Concrete Mixtures International Journal of Highway Engineering DOI: 10.7855/ijhe.2024.26.1.047 OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 1 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access An extended multi-model regression approach for compressive strength prediction and optimization of a concrete mixture 2022 Construction and Building Materials article Engineering Concrete and Cement Materials Research 24 citations 1 result