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  1. Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate.Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, Zainab Hasan Ali, Tan Huy Tran, Rania M. Ghoniem & Ahmed A. Ewees - 2022 - Complexity 2022:1-22.
    The application of recycled aggregate as a sustainable material in construction projects is considered a promising approach to decrease the carbon footprint of concrete structures. Prediction of compressive strength of environmentally friendly concrete containing recycled aggregate is important for understanding sustainable structures’ concrete behaviour. In this research, the capability of the deep learning neural network approach is examined on the simulation of CS of EF concrete. The developed approach is compared to the well-known artificial intelligence approaches named multivariate adaptive regression (...)
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  • Scientist, Quo Vadis Without Ethics? An Introduction to Special Collection on “Environmental Ethics: Issues and Perspectives from Romania”.Ruxandra Malina Petrescu-Mag, Dacinia Crina Petrescu & Alexandru Ozunu - 2019 - Journal of Agricultural and Environmental Ethics 32 (1):1-4.
    An introduction to special collection on “Environmental Ethics: Issues and Perspectives from Romania”.
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