Deepa, D., & Sivasangari, A. (2024). ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection. Multimedia Tools and Applications: An International Journal, 83(2), 5099-5129. https://doi.org/10.1007/s11042-023-15850-8
ISO-690 (author-date, English)DEEPA, D and SIVASANGARI, A, 2024. ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection. Multimedia Tools and Applications: An International Journal. 1 January 2024. Vol. 83, no. 2, p. 5099-5129. DOI 10.1007/s11042-023-15850-8.
Modern Language Association 9th editionDeepa, D., and A. Sivasangari. “ESSR-GAN: Enhanced Super and Semi Supervised Remora Resolution Based Generative Adversarial Learning Framework Model for Smartphone Based Road Damage Detection”. Multimedia Tools and Applications: An International Journal, vol. 83, no. 2, Jan. 2024, pp. 5099-2, https://doi.org/10.1007/s11042-023-15850-8.
Mohr Siebeck - Recht (Deutsch - Österreich)Deepa, D/Sivasangari, A: ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection, Multimedia Tools and Applications: An International Journal 2024, 5099-5129.
Emerald - HarvardDeepa, D. and Sivasangari, A. (2024), “ESSR-GAN: Enhanced super and semi supervised remora resolution based generative adversarial learning framework model for smartphone based road damage detection”, Multimedia Tools and Applications: An International Journal, Vol. 83 No. 2, pp. 5099-5129.