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| Issue |
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| Vol 16, No 4 (2025) |
Predicting compressive strength of heavyweight concrete using deep neural networks and Box–Behnken design |
Abstract
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Amir Hossein Derakhshan Nezhad, Seayf Allah Hemati, Omid Rezaifar |
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| Vol 17, No 2 (2026) |
Performance assessment of polypropylene fiber-reinforced engineered cementitious composites using experimental investigation and ANN modeling |
Abstract
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Vinoda Rudrappa Chethan, Marilinge Rame Gowda, Bangalore Rajshekar Kavya, Balluru Thammannagowda Ashwini, Avant Srinivas Shrikanth |
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| Vol 12, No 1 (2021) |
Application of an artificial neural network for predicting compressive and flexural strength of basalt fiber added lightweight concrete |
Abstract
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Gokhan Calis, Sadık Alper Yıldızel, Ulku Sultan Keskin |
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| Vol 10, No 3 (2019) |
Prediction of tensile strength of concrete produced by using pozzolanic materials and partly replacing natural sand by manufactured sand |
Abstract
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Kiran M. Mane, Dilip K. Kulkarni, K. B. Prakash |
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| Vol 9, No 3 (2018) |
Concrete strength prediction using artificial neural network and genetic programming |
Abstract
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Preeti Kulkarni, Shreenivas N. Londhe |
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| Vol 16, No 4 (2025) |
A novel neuro genetic programming framework for modelling compressive strength of recycled aggregate concrete |
Abstract
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Preeti Kulkarni, Shreenivas N. Londhe, Pradnya R. Dixit |
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