Mohamed, E.S.; Jalhoum, M.E.M.; Belal, A.A.; Hendawy, E.; Azab, Y.F.A.; Kucher, D.E.; Shokr, M.S.; El Behairy, R.A.; El Arwash, H.M.
A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem. Agronomy 2023, 13, 1873.
https://doi.org/10.3390/agronomy13071873
AMA Style
Mohamed ES, Jalhoum MEM, Belal AA, Hendawy E, Azab YFA, Kucher DE, Shokr MS, El Behairy RA, El Arwash HM.
A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem. Agronomy. 2023; 13(7):1873.
https://doi.org/10.3390/agronomy13071873
Chicago/Turabian Style
Mohamed, Elsayed Said, Mohamed E. M. Jalhoum, Abdelaziz A. Belal, Ehab Hendawy, Yara F. A. Azab, Dmitry E. Kucher, Mohamed. S. Shokr, Radwa A. El Behairy, and Hasnaa M. El Arwash.
2023. "A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem" Agronomy 13, no. 7: 1873.
https://doi.org/10.3390/agronomy13071873
APA Style
Mohamed, E. S., Jalhoum, M. E. M., Belal, A. A., Hendawy, E., Azab, Y. F. A., Kucher, D. E., Shokr, M. S., El Behairy, R. A., & El Arwash, H. M.
(2023). A Novel Approach for Predicting Heavy Metal Contamination Based on Adaptive Neuro-Fuzzy Inference System and GIS in an Arid Ecosystem. Agronomy, 13(7), 1873.
https://doi.org/10.3390/agronomy13071873
