S., A. J., & R., V. (2023). A Deep Learning Approach for Efficient Anomaly Detection in WSNs. International Journal of Computers, Communications & Control, 18(1), 1. https://doi.org/10.15837/ijccc.2023.1.4756
Chicago Style (17th ed.) CitationS., Arul Jothi, and Venkatesan R. "A Deep Learning Approach for Efficient Anomaly Detection in WSNs." International Journal of Computers, Communications & Control 18, no. 1 (2023): 1. https://doi.org/10.15837/ijccc.2023.1.4756.
MLA (9th ed.) CitationS., Arul Jothi, and Venkatesan R. "A Deep Learning Approach for Efficient Anomaly Detection in WSNs." International Journal of Computers, Communications & Control, vol. 18, no. 1, 2023, p. 1, https://doi.org/10.15837/ijccc.2023.1.4756.
Warning: These citations may not always be 100% accurate.