battery data augmentation2 [ICLR-2017] Mode Regularized Generative Adversarial Networks [논문 전문] : https://arxiv.org/abs/1612.02136[출처] https://doi.org/10.48550/arXiv.1612.02136 ※ The picture and content of this article are from the original paper.All picture and figures used in this article are sourced from publicily available on the internet. [논문 요약]Mode Regularized Generative Adversarial Networks MR-GAN은 GAN 초창기에 Mode Collapse 문제를 해결하고자 Mode Seeking GAN과 같이 노이즈와 생성결과물에 대한 명시적인 .. 2025. 7. 3. [Energy Research-2021] A generative adversarial network based synthetic data augmentation technique for battery condition evaluation [논문 전문] : https://onlinelibrary.wiley.com/doi/abs/10.1002/er.7013[출처] Naaz, Falak & Herle, Aniruddh & Channegowda, Janamejaya & Raj, Aditya & Lakshminarayanan, Meenakshi. (2021). A generative adversarial network‐based synthetic data augmentation technique for battery condition evaluation. International Journal of Energy Research. 45. 10.1002/er.7013. ※ The picture and content of this article ar.. 2025. 6. 27. 이전 1 다음
