APA (7th ed.) Citation

Irfan, M., Jiangbin, Z., Ali, S., Iqbal, M., Masood, Z., & Hamid, U. (2021). DeepShip: An underwater acoustic benchmark dataset and a separable convolution based autoencoder for classification. Expert systems with applications, 183, 115270. https://doi.org/10.1016/j.eswa.2021.115270

Chicago Style (17th ed.) Citation

Irfan, Muhammad, Zheng Jiangbin, Shahid Ali, Muhammad Iqbal, Zafar Masood, and Umar Hamid. "DeepShip: An Underwater Acoustic Benchmark Dataset and a Separable Convolution Based Autoencoder for Classification." Expert Systems with Applications 183 (2021): 115270. https://doi.org/10.1016/j.eswa.2021.115270.

MLA (9th ed.) Citation

Irfan, Muhammad, et al. "DeepShip: An Underwater Acoustic Benchmark Dataset and a Separable Convolution Based Autoencoder for Classification." Expert Systems with Applications, vol. 183, 2021, p. 115270, https://doi.org/10.1016/j.eswa.2021.115270.