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M-3(PO4)(2)-nanoparticle-coated LiCoO2 vs LiCo0.96M0.04O2 (M = Mg and Zn) on electrochemical and storage characteristics File

Eom, Junho , Cho, Jaephil

Article Issue Date2008 View36

M-BPR: A novel approach to improving BPR for recommendation with multi-type pair-wise preferences File

Lee, Yeon-Chang , Kim, Taeho , Choi, Jaeho , He, Xiangnan , Kim, Sang-Wook

Article Issue Date2021-02 View21

M-Doped TiO₂ (M=Co, Cr, Fe)의 제조 : 전자 밴드구조-(1)

Bae, Sang Won , Kim, Hyun Gyu , Ji, Sang Min , Jang, Jum Suk , Jeong, Euh Duck , Hong, Suk Joon , Lee, Jae Sung

Article Issue Date2006-01 View22

M-N-C 계 전극촉매 및 그 제조방법과 FE-N-C 계 전극촉매를 포함하는 연료전지

주상훈 , 사영진 , 우진우

Patent Issue Date View19

M2M Service Platforms: Survey, Issues, and Enabling Technologies File

Kim, Jaewoo , Lee, Jaiyong , Kim, Jaeho , Yun, Jaeseok

Article Issue Date2014-01 View19

M2M/IoT 서비스를 위한 무선 통신망 기술 : 지속적 WSN망과 Cellular 접근망

김종헌 , 김재우 , 유석 , 이재용

Article Issue Date2013-07 View25

M3 Muscarinic Receptor-mediated Phospholipase D1 Activation Is Involved in the Up-Regulation of Phospholipase C Activity

Suh, Pann-Ghill , None

Conference Paper Issue Date2001-10-11 View21

M3 muscrinic receptor-mediated phospholipase D1 activation is involved in the up-regulation of phospholipase C activity

Suh, Pann-Ghill , None

Conference Paper Issue Date2001-07-28 View25

Mach number distributions of simulated merger shocks

Lee, Eunyu , Ryu, Dongsu , Kang, Hyesung

Conference Paper Issue Date2023-10-20 View21

MACHINE LEARNING - BASED EXCITED STATE MOLECULAR DYNAMICS File File

Kim, Kicheol

Thesis Issue Date2019-08 View19

Machine learning aided design of smart, self-sensing fiber-reinforced plastics File File

Roh, Hyung Doh , Lee, Dahun , Lee, In Yong , Park, Young-Bin

Article Issue Date2021-10 View14

Machine learning algorithm for early-stage prediction of severe morbidity in COVID-19 pneumonia patients based on bio-signals File File

Baik, Seung Min , Kim, Kyung Tae , Lee, Haneol , Lee, Jung Hwa

Article Issue Date2023-04 View25

Machine Learning Algorithm Guides Catalyst Choices for Magnesium-Catalyzed Asymmetric Reactions File

Baczewska, Paulina , Kulczykowski, Michal , Zambron, Bartosz , Jaszczewska-Adamczak, Joanna , Pakulski, Zbigniew , Roszak, Rafal , Grzybowski, Bartosz A. , Mlynarski, Jacek

Article Issue Date2024-09 View9

Machine Learning and Data Visualization in Manufacturing

Lee, Seungchul

Conference Paper Issue Date2016-12-16 View18

Machine learning and digital image processing for non-contact modal parameters identification of structures File

Torbol, Marco , Park, KT

Conference Paper Issue Date2018-03-05 View31

Machine learning apporaches to wildfire detection using geostationary satellite data

Kang, Yoojin , Jang, Kunna , Im, Jungho

Conference Paper Issue Date2018-05-11 View15

Machine learning apporaches to wildfire detection using geostationary satellite data

Kang, Yoojin , Im, Jungho , Jang, Kunna

Conference Paper Issue Date2018-12-11 View18

Machine learning approach for predicting anaerobic digestion performance and stability in direct interspecies electron transfer-stimulated environments File

Baek, Gahyun , Lee, Changsoo , Yoon, Jinyoung

Article Issue Date2023-04 View30

Machine Learning Approach for the Prediction of Mechanical Properties Based on the Steel Microstructure Volume Fraction Ratio

Jung, Im Doo , Sung, Hyo kyung , Moon, Seung Ki

Conference Paper Issue Date2019-08-20 View19

Machine Learning Approach for the Prediction of Mechanical Properties with Microstructural Parameters in API Pipeline Steels

Jung, Im Doo , Sung. H. K. , Park, S. J. , Yu , J. H.

Conference Paper Issue Date2019-10-30 View32

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