A machine learning approach for optimizing the water-energy-food-ecosystem nexus: a resilience perspective for sustainability
Author:
Funder
CONAHCyT
CIC-UMSNH
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-023-04257-y.pdf
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2. Abdelkareem, M. A., Soudan, B., Mahmoud, M. S., Sayed, E. T., AlMallahi, M. N., Inayat, A., Radi, M. A., & Olabi, A. G. (2022). Progress of artificial neural networks applications in hydrogen production. Chemical Engineering Research and Design, 182, 66–86. https://doi.org/10.1016/j.cherd.2022.03.030
3. Abdelzaher, M. A. (2022). Performance and hydration characteristic of dark white evolution (DWE) cement composites blended with clay brick powder. Egyptian Journal of Chemistry, 65(8), 419–427. https://doi.org/10.21608/EJCHEM.2022.113836.5169
4. Abdelzaher, M. A. (2023). Sustainable development goals for industry, innovation, and infrastructure: demolition waste incorporated with nanoplastic waste enhanced the physicomechanical properties of white cement paste composites. Applied Nanoscience, 1, 1–16. https://doi.org/10.1007/s13204-023-02766-w
5. Abdelzaher, M. A., & Awad, M. M. (2022). Sustainable development goals for the circular economy and the water-food nexus: Full implementation of new drip irrigation technologies in Upper Egypt. Sustainability, 14(21), 13883. https://doi.org/10.3390/su142113883
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