no code implementations • 20 Jan 2025 • Minsu Kim, Jaehyun Oh, Sang-Young Lee, Junghwan Kim
Accurate prediction of the Remaining Useful Life (RUL) of lithium-ion batteries is essential for ensuring safety, reducing maintenance costs, and optimizing usage.
1 code implementation • 12 Sep 2024 • Jonathan Ivey, Shivani Kumar, Jiayu Liu, Hua Shen, Sushrita Rakshit, Rohan Raju, Haotian Zhang, Aparna Ananthasubramaniam, Junghwan Kim, Bowen Yi, Dustin Wright, Abraham Israeli, Anders Giovanni Møller, Lechen Zhang, David Jurgens
Studying and building datasets for dialogue tasks is both expensive and time-consuming due to the need to recruit, train, and collect data from study participants.
no code implementations • 21 Feb 2024 • Jiyoung Lee, Minwoo Kim, Seungho Kim, Junghwan Kim, Seunghyun Won, Hwaran Lee, Edward Choi
For the common knowledge dataset, we constructed samples based on Korean textbooks and GED reference materials.
no code implementations • 7 Jun 2023 • Kee Moon Jang, Junda Chen, Yuhao Kang, Junghwan Kim, JinHyung Lee, Fábio Duarte
In this study, we aim to test the potential of generative AI as the source of textual and visual information in capturing the place identity of cities assessed by filtered descriptions and images.
no code implementations • 2 Jun 2023 • Chonghyo Joo, Jeongdong Kim, Hyungtae Cho, Jaewon Lee, Sungho Suh, Junghwan Kim
In this paper, we propose a neural network framework that utilizes chemical property information to improve the performance of naphtha composition prediction.
no code implementations • 4 Oct 2022 • JaeHyun Park, Subin Lee, Eon Kim, Byeongjun Moon, Dabeen Yu, Yeonseung Yu, Junghwan Kim
Feature fusion modules from encoder and self-attention module have been adopted in semantic segmentation.