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Predatory bacteria as potential biofilm control and eradication agents in the food industry File

Mun, Wonsik , Choi, Seong Yeol , Upatissa, Sumudu , Mitchell, Robert J.

Article Issue Date2023-05 View32

Predatory Bacteria: Alternatives and Complements to Antibiotics to Combat Multidrug Resistant Pathogens

Mitchell, Robert J.

Conference Paper Issue Date2023-06-19 View11

Predatory bacteria: As a new probiotics for MDRO (Multi-Drug Resistant Organisms) treatments

Im, Hansol , Lee, Sujin , Soper, Steven , Mitchell, Robert J.

Conference Paper Issue Date2015-11-06 View10

Predict Daily Life Stress based on Heart Rate Variability File

Park, Jongwoo

Thesis Issue Date2020-02 View11

Predictability of heat wave in the operational prediction system of KMA

Yoon, Donghyuck , Lee, Gil , Cha, Dong-Hyun

Conference Paper Issue Date2019-03-07 View21

Predictable duty cycle modulation through coupled pairing of syringes with microfluidic oscillators File File

Lesher-Perez, Sasha Cai , Weerappuli, Priyan , Kim, Sung-Jin , Zhang, Chao , Takayama, Shuichi

Article Issue Date2014-11 View26

Predicting airborne chloride deposition in marine bridge structures using an artificial neural network model File

Jeon, Dongho , Jung, Jahe , Park, Jisun , Min, Jiyoung , Oh, Jae Eun , Moon, Juhyuk , Lee, Jong-Suk , Yoon, Seyoon

Article Issue Date2022-06 View53

Predicting Class Imbalanced Withdrawn Data using a Neural Network Model with a Generalized Logit Activation Function: A Bayesian Approach

Baik, Hyeoncheol , Han, Sumin , In, Joonhwan , Joo, Sunghoon , Lee, Kang

Conference Paper Issue Date2018-11-14 View35

Predicting drivers’ perceptions using interface pressure data

Kyung, Gyouhyung , None

Conference Paper Issue Date2008-12-03 View17

Predicting driving postures and seated positions in SUVs using a 3D digital human modeling tool File

Lee, Jeong Hoon , Kwon, Bo Kyung , Kyung, Gyouhyung , Nussbaum, Maury A.

Conference Paper Issue Date2008-06-17 View30

Predicting Dyeing Properties and Light Fastness Rating of Recycled PET by Artificial Neural Network File

Cho, Hyeokjun , Lee, Jung Eun , Kim, Ah Rong , Kang, Yoo Jung , Song, Sun Hye , Sim, Jee-Hyun , Lee, Seung Geol

Article Issue Date2024-08 View3

Predicting Frost Depth of Soils in South Korea Using Machine Learning Techniques File

Choi, Hyun-Jun , Kim, Sewon , Kim, YoungSeok , Won, Jongmuk

Article Issue Date2022-08 View12

Predicting future metal-organic materials

Choe, Wonyoung

Conference Paper Issue Date2021-11-26 View9

Predicting Future Zeolitic Imidazolate Frameworks

Choe, Wonyoung

Conference Paper Issue Date2019-12-17 View18

Predicting graft failure in pediatric liver transplantation based on early biomarkers using machine learning models File File

Jung, Seungho , Park, Kyemyung , Ihn, Kyong , Kim, Seon Ju , Kim, Myoung Soo , Chae, Dongwoo , Koo, Bon-Nyeo

Article Issue Date2022-12 View23

Predicting human behavioral patterns in an emergency evacuation situation using agent-based modeling and real-time human-in-loop simulation

Kim, Namhun , None

Conference Paper Issue Date2014 View11

Predicting Information Pathways Across Online Communities

Jin, Yiqiao , Lee, Yeon-Chang

Conference Paper Issue Date2023-08-06 View45

Predicting Market Impact Costs Using Nonparametric Machine Learning Models File File

Park, Saerom , Lee, Jaewook , Son, Youngdoo

Article Issue Date2016-02 View18

Predicting mechanical properties of multiscale composites File

Kim, Myungsoo , Okoli, Okenwa Izeji , Jack, David A. , Park, Young-Bin , Liang, Z.

Article Issue Date2013-10 View24

Predicting operational windows of ELMs suppression by resonant magnetic perturbations in the DIII-D and KSTAR tokamaks File

Hu, Q. M. , Nazikian, R. , Logan, N. C. , Park, J. -K. , Paz-Soldan, C. , Yang, S. M. , Grierson, B. A. , In, Yongkyoon , Jeon, Y. M. , Kim, M. , et al

Article Issue Date2021-05 View20

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