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[IEEE-2021] Multisource Domain Adaption for Health Degradation Monitoring of Lithium-Ion Batteries 논문 전문 : https://ieeexplore.ieee.org/document/9445018 [출처] Z. Ye, J. Yu and L. Mao, "Multisource Domain Adaption for Health Degradation Monitoring of Lithium-Ion Batteries," in IEEE Transactions on Transportation Electrification, vol. 7, no. 4, pp. 2279-2292, Dec. 2021, doi: 10.1109/TTE.2021.3085430. ※ The picture and content of this article are from the original paper. This article is more of an.. 2023. 12. 16.
[CVPR-2018] ESRGAN : Enhanced Super-Resolution Generative Adversarial Networks 논문 전문 : https://arxiv.org/abs/1809.00219 [출처] https://doi.org/10.48550/arXiv.1809.00219 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] ESRGAN : Enhanced Super-Resolution Generative Adversarial Networks 본 논문은 GAN을 활용한 Super Resolution(이하 SR)에 거의 시초격인 논문입니다. GAN 네트워크야 CNN으로 짜면 얼마든지 원하는 모델을 만들.. 2023. 12. 11.
[CVPR-2014] Image Super-Resolution Using Deep Convolutional Networks 논문 전문 : https://arxiv.org/abs/1501.00092 [출처] https://doi.org/10.48550/arXiv.1501.00092 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Image Super-Resolution Using Deep Convolutional Networks 지금으로부터 10년전 나온 논문입니다. Super Resolution(이하 SR)에 딥러닝을 활용한 시조새 격의 논문이라고 할 수 있는데요, EDSR이나 최근 SR 논문들은 mu.. 2023. 12. 8.
[CVPR-2017] Enhanced Deep Residual Network for Single Image Super-Resolution 논문 전문 : https://arxiv.org/abs/1707.02921 [출처] https://doi.org/10.48550/arXiv.1707.02921 ※ The picture and content of this article are from the original paper. This article is more of an intuitive understanding than academic analysis. [논문 요약] Enhanced Deep Residual Network for Single Image Super-Resolution 서울대학교에서 나온 논문으로, 무려 현 글 작성시점 기준 Citation 5772회에 해당하는 슈퍼논문입니다. EDSR이라는 약어로 많이 불리며, Super Res.. 2023. 12. 4.
[IJETAE-2022] State of Charge Prediction of Lead Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0 논문 전문 : https://engrxiv.org/preprint/view/2606 [출처] https://doi.org/10.31224/2606 ※ The picture and content of this article are from the original paper. [논문 요약] State of Charge Prediction of Lead Acid Battery using Transformer Neural Network for Solar Smart Dome 4.0 Transformer를 사용해서 SOC를 추정하는 논문입니다. 지극히 개인적으로 생각하기에, 학술적인 가치가 있다고 보긴 힘듭니다. 그냥 Regression할때 Transformer를 쓴것말고는 아무 기술적 차이가 없기때문입니다. 그럼.. 2023. 11. 29.
[CVPR-2021] Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries 논문 전문 : https://arxiv.org/pdf/2209.05253.pdf [출처] https://doi.org/10.48550/arXiv.2209.05253 ※ The picture and content of this article are from the original paper. [논문 요약] Transfer Learning and Vision Transformer based State-of-Health prediction of Lithium-Ion Batteries 재미있게도 이 논문은 Vision에 관한것이 아닌데도 CVPR에 투고된 논문입니다. Vision Transformer를 쓴다는 이유때문인것같은데.. 혹은 Pattern Recognition이라서인가... 사실 Pattern Rec.. 2023. 11. 27.
[MDPI-2023] Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network 논문 전문 : https://www.mdpi.com/2313-0105/9/11/539 [출처] Fan, Y.; Li, Y.; Zhao, J.; Wang, L.; Yan, C.; Wu, X.; Zhang, P.; Wang, J.; Gao, G.; Wei, L. Online State-of-Health Estimation for Fast-Charging Lithium-Ion Batteries Based on a Transformer–Long Short-Term Memory Neural Network. Batteries 2023, 9, 539. https://doi.org/10.3390/batteries9110539 ※ The picture and content of this article are from t.. 2023. 11. 25.
[Applied Energy-2016] State of health monitoring of lithium-ion battery modules and packs via incremental capacity peak tracking 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0306261916310741 [출처] Caihao Weng, Xuning Feng, Jing Sun, Huei Peng,State-of-health monitoring of lithiumion battery modules and packs via incremental capacity peak tracking,Applied Energy,Volume 180,2016,Pages 360-368,ISSN 0306-2619, https://doi.org/10.1016/j.apenergy.2016.07.126. ※ The picture and content of this article are from t.. 2023. 11. 24.
[Measurement-2018] A novel fault diagnosis method for lithium-Ion battery packs of electric vehicle 논문 전문 : https://www.sciencedirect.com/science/article/abs/pii/S0263224117307443 [출처] Xiaoyu Li, Zhenpo Wang,A novel fault diagnosis method for lithium-Ion battery packs of electric vehicles,Measurement,Volume 116,2018,Pages 402-411,ISSN 0263-2241, https://doi.org/10.1016/j.measurement.2017.11.034. ※ The picture and content of this article are from the original paper. [논문 요약] A novel fault diagno.. 2023. 11. 18.

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