Search Results - "Jeon, Minkyu"

Effect of Thermal Abuse Conditions on Thermal Runaway of NCA 18650 Cylindrical Lithium-Ion Battery by Jeon, Minkyu, Lee, Eunsong, Park, Hyunwook, Yoon, Hongsik, Keel, Sangin

“…In energy storage systems and electric vehicles utilizing lithium-ion batteries, an internal short circuit or a thermal runaway (TR) may result in fire-related…”
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A Multivariable Prediction Model for Mild Cognitive Impairment and Dementia: Algorithm Development and Validation by Oh, Sarah Soyeon, Kang, Bada, Hong, Dahye, Kim, Jennifer Ivy, Jeong, Hyewon, Song, Jinyeop, Jeon, Minkyu

“…Background:Mild cognitive impairment (MCI) poses significant challenges in early diagnosis and timely intervention. Underdiagnosis, coupled with the economic…”
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Learning to Balance Local Losses via Meta-Learning by Yoa, Seungdong, Jeon, Minkyu, Oh, Youngjin, Kim, Hyunwoo J.

“…The standard training for deep neural networks relies on a global and fixed loss function. For more effective training, dynamic loss functions have been…”
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Randomly shuffled convolution for self-supervised representation learning by Oh, Youngjin, Jeon, Minkyu, Ko, Dohwan, Kim, Hyunwoo J.

“…Many self-supervised representation learning methods have achieved high performance in image classification tasks. However, these methods have limited…”
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Nitric oxide (NO) and nitrous oxide (N2O) emissions during selective non-catalytic reduction and selective catalytic reduction processes in a pulverized coal/Ammonia Co-fired boiler by Jeon, Minkyu, Lee, Eunsong, Kim, Minsu, Jegal, Hyunwook, Park, Sangbin, Chi, Jun Hwa, Baek, Sehyun, Lee, Jongmin, Keel, Sang-In

“…The global warming and climate change are accelerated by the emissions of CH4, chlorofluorocarbon, and N2O gases along with CO2 resulting from the use of…”
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On integrating the Droop model with the flux balance model for predicting metabolic shifts in microalgae growth by Minkyu Jeon, Boeun Kim, Mingyu Sung, Lee, Jay H.

“…Identifying the mechanism for and predicting the metabolic shift between lipid accumulation and cell growth is a key research issue for microalgal biodiesel…”
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Behavior of nitrogen oxides in a lab-scale coal ammonia co-firing system by Lee, EunSong, Keel, Sang-In, Kim, Min-Su, Jegal, HyunWook, Yun, Jin-Han, Chi, Jun Hwa, Baek, SeHyun, Lee, JongMin, Jeon, MinKyu

“…The objective of this study was to determine the ideal coal–ammonia (NH3) co-firing conditions to achieve carbon neutrality and suppress NOx formation. This…”
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CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM by Jeon, Minkyu, Raghu, Rishwanth, Astore, Miro, Woollard, Geoffrey, Feathers, Ryan, Kaz, Alkin, Hanson, Sonya M, Cossio, Pilar, Zhong, Ellen D

“…Cryo-electron microscopy (cryo-EM) is a powerful technique for determining high-resolution 3D biomolecular structures from imaging data. As this technique can…”
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k-SALSA: k-anonymous synthetic averaging of retinal images via local style alignment by Jeon, Minkyu, Park, Hyeonjin, Kim, Hyunwoo J, Morley, Michael, Cho, Hyunghoon

“…The application of modern machine learning to retinal image analyses offers valuable insights into a broad range of human health conditions beyond ophthalmic…”
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SageMix: Saliency-Guided Mixup for Point Clouds by Lee, Sanghyeok, Jeon, Minkyu, Kim, Injae, Xiong, Yunyang, Kim, Hyunwoo J

“…Data augmentation is key to improving the generalization ability of deep learning models. Mixup is a simple and widely-used data augmentation technique that…”
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Learning to Balance Local Losses via Meta-Learning by Yoa, Seungdong, Jeon, Minkyu, Oh, Youngjin, Kim, Hyunwoo J

“…The standard training for deep neural networks relies on a global and fixed loss function. For more effective training, dynamic loss functions have been…”
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