Fuzzy Model for Predicting Contamination of the Geological Environment During an Accidental Oil Spill

Author:

Kalibatiene DianaORCID,Burmakova Anastasiya

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Software

Reference46 articles.

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2. Zhou, S., Wang, M., Yang, Z., Zhang, X.: Polydopamine-modified nanochannels in vertically aligned carbon nanotube arrays for controllable molecule transport. ACS Appl. Nano Mater. 2(5), 3271–3279 (2019)

3. Nyssanbayeva, G., Kudaibergenov, K., Seidildayeva, A.: Synthesis of modified nanocarbon materials and determination of their adsorption capacity. IJMPERD 10(1), 305–314 (2020)

4. Jiao, Z., Jia, G., Cai, Y.: A new approach to oil spill detection that combines deep learning with unmanned aerial vehicles. Comput. Ind. Eng. 135, 1300–1311 (2019)

5. Krohling, R.A., Campanharo, V.C.: Fuzzy TOPSIS for group decision making: a case study for accidents with oil spill in the sea. Expert Syst. Appl. 38(4), 4190–4197 (2011)

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