Search Results - "Moon, Sehwan"

Toward a low-cost high-voltage sodium aqueous rechargeable battery by Lee, Myeong Hwan, Kim, Sung Joo, Chang, Donghee, Kim, Jinsoo, Moon, Sehwan, Oh, Kyungbae, Park, Kyu-Young, Seong, Won Mo, Park, Hyeokjun, Kwon, Giyun, Lee, Byungju, Kang, Kisuk

“…[Display omitted] Recent discovery of high-concentration electrolyte systems has opened a new avenue toward the high-voltage, safe, and low-cost aqueous…”
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SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-Omics Integration by Moon, Sehwan, Hwang, Jeongyoung, Lee, Hyunju

“…Integration of multi-omics data provides opportunities for revealing biological mechanisms related to certain phenotypes. We propose a novel method of…”
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Prediction of anti-vascular endothelial growth factor agent-specific treatment outcomes in neovascular age-related macular degeneration using a generative adversarial network by Moon, Sehwan, Lee, Youngsuk, Hwang, Jeongyoung, Kim, Chul Gu, Kim, Jong Woo, Yoon, Won Tae, Kim, Jae Hui

“…To develop an artificial intelligence (AI) model that predicts anti-vascular endothelial growth factor (VEGF) agent-specific anatomical treatment outcomes in…”
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High-efficiency and high-power rechargeable lithium–sulfur dioxide batteries exploiting conventional carbonate-based electrolytes by Park, Hyeokjun, Lim, Hee-Dae, Lim, Hyung-Kyu, Seong, Won Mo, Moon, Sehwan, Ko, Youngmin, Lee, Byungju, Bae, Youngjoon, Kim, Hyungjun, Kang, Kisuk

“…Shedding new light on conventional batteries sometimes inspires a chemistry adoptable for rechargeable batteries. Recently, the primary lithium-sulfur dioxide…”
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MOMA: a multi-task attention learning algorithm for multi-omics data interpretation and classification by Moon, Sehwan, Lee, Hyunju

“…Abstract Motivation Accurate diagnostic classification and biological interpretation are important in biology and medicine, which are data-rich sciences. Thus,…”
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Deposition and Stripping Behavior of Lithium Metal in Electrochemical System: Continuum Mechanics Study by Yoon, Gabin, Moon, Sehwan, Ceder, Gerbrand, Kang, Kisuk

“…Metallic lithium (Li) is a promising anode candidate for high-energy-density rechargeable batteries because of its low redox potential and high theoretical…”
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JDSNMF: Joint Deep Semi-Non-Negative Matrix Factorization for Learning Integrative Representation of Molecular Signals in Alzheimer’s Disease by Moon, Sehwan, Lee, Hyunju

“…High dimensional multi-omics data integration can enhance our understanding of the complex biological interactions in human diseases. However, most studies…”
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Simple and Effective Gas-Phase Doping for Lithium Metal Protection in Lithium Metal Batteries by Moon, Sehwan, Park, Hyeokjun, Yoon, Gabin, Lee, Myeong Hwan, Park, Kyu-Young, Kang, Kisuk

“…Increasing demands for advanced lithium batteries with higher energy density have resurrected the use of lithium metal as an anode, whose practical…”
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A Biodegradable Secondary Battery and its Biodegradation Mechanism for Eco‐Friendly Energy‐Storage Systems by Lee, Myeong Hwan, Lee, Jongha, Jung, Sung‐Kyun, Kang, Dayoung, Park, Myung Soo, Cha, Gi Doo, Cho, Kyoung Won, Song, Jun‐Hyuk, Moon, Sehwan, Yun, Young Soo, Kim, Seok Joo, Lim, Young Woon, Kim, Dae‐Hyeong, Kang, Kisuk

“…The production of rechargeable batteries is rapidly expanding, and there are going to be new challenges in the near future about how the potential…”
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Deep Metric Loss for Multimodal Learning by Moon, Sehwan, Lee, Hyunju

“…Multimodal learning often outperforms its unimodal counterparts by exploiting unimodal contributions and cross-modal interactions. However, focusing only on…”
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SDGCCA: Supervised Deep Generalized Canonical Correlation Analysis for Multi-omics Integration by Hwang, Jeongyoung, Moon, Sehwan, Lee, Hyunju

“…Integration of multi-omics data provides opportunities for revealing biological mechanisms related to certain phenotypes. We propose a novel method of…”
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Challenge in Classification of Depressive Symptoms Using Actigraphy Data by Moon, Sehwan, Kim, Ju-Wan, Jhon, Min, Lee, Aram, Jeon, Eunkyoung, Kim, Jeong Eun

“…Monitoring human behavior through wearable devices has potential in psychiatry. Among them, actigraphy data has been used to classify depression and detect…”
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