Data-Driven Intervention Strategies for Mitigating Illegal Wildlife Trade: A Case Study of the United States

Author:

Xue PanORCID,Zhou Tianchang,Sun Hui,Song Jihao,Guo Xiaoliang,Shao Zhiwei

Publisher

Springer Nature Singapore

Reference9 articles.

1. Jin, L., Yesheng, Z., Peng, L., et al.: Optimal design of recycled concrete mix proportion based on LSTM-MOPSO algorithm. J. Taiyuan Univ. Technol. 5, 1–12 (2024)

2. Kumar, S.G., Prakash, C.S., Bhim, S., et al.: Detection of fraudulent in contraband Shahtoosh trade: unfair deal in illicit wildlife market. Forens. Sci. Int.: Genetics 59, 102713 (2022)

3. Hao, J.T., William, S.S., Roman, L.C.: Economic value of illegal wildlife trade entering the USA. PLoS One 16(10), e0258523 (2021). https://doi.org/10.1371/journal.pone.0258523

4. Simon, D.: Security and Conservation: The Politics of the Illegal Wildlife Trade Security and Conservation: The Politics of the Illegal Wildlife Trade By Rosaleen Duffy. Yale University Press, New Haven (2022)

5. Bernardo, B., Gaetano, C., Vincenzo, D.: Security and privacy violation rules in trigger-action IoT platforms with NLP models. IEEE Internet Things J. 6(10), 5607–5622 (2022). https://doi.org/10.1109/jiot.2022.3222615

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