Ajou University repository

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Showing results 1 to 10 of 1615 (Search time: 0.0 seconds).

Machine learning based quantitative consequence prediction models for toxic dispersion casualty
  • 2023-02-01
  • Journal of Loss Prevention in the Process Industries, Vol.81
  • Elsevier Ltd
메타 분석을 통한 독성 예측 다중 오믹스 바이오 마커 발굴
  • Kim, Hyosil
  • 2015-02
  • The Graduate School, Ajou University
Unique design of superior metal-organic framework for removal of toxic chemicals in humid environment via direct functionalization of the metal nodes
  • Cha, Ga Young;
  • Chun, Hoje;
  • Hong, Do Young;
  • Kim, Jaegyeom;
  • Cho, Kyung Ho;
  • Lee, U. Hwang;
  • Chang, Jong San;
  • Ryu, Sam Gon;
  • Lee, Hae Wan;
  • Kim, Seung Joo;
  • Han, Byungchan;
  • Hwang, Young Kyu
  • 2020-11-05
  • Journal of Hazardous Materials, Vol.398
  • Elsevier B.V.
Changes in the toxicity of procymidone and its metabolite during the photohydrolysis process and the effect of the presence of microplastics
  • Lee, Youn Jun;
  • Yang, Ji Won;
  • Choi, Byeongwook;
  • Park, Seong Jik;
  • Lee, Chang Gu;
  • Jho, Eun Hea
  • 2023-03-01
  • Korean Journal of Chemical Engineering, Vol.40, pp.612-617
  • Springer
Numerical modelling for effect of water curtain in mitigating toxic gas releaseoa mark
  • 2020-01-01
  • Journal of Loss Prevention in the Process Industries, Vol.63
  • Elsevier Ltd
Adsorptive removal of nerve-agent simulant with zirconium-based metal-organic frameworks modified by hydrophobic monocarboxylic acids
  • Cho, Kyung Ho;
  • Chitale, Sachin K.;
  • Kim, Seung Joo;
  • Cha, Ga Young;
  • Hong, Do Young;
  • Ryu, Sam Gon;
  • Chang, Jong San;
  • Hwang, Young Kyu
  • 2019-09-01
  • Microporous and Mesoporous Materials, Vol.285, pp.61-69
  • Elsevier B.V.
Prediction of issuance of emergency evacuation orders for chemical accidents using machine learning algorithm
  • 2018-11-01
  • Journal of Loss Prevention in the Process Industries, Vol.56, pp.162-169
  • Elsevier Ltd
Fabrication of Au-In2O3 Thin/Thick-Film Gas Sensors and Their Sensing Characteristics for Toxic Gasesoa mark
  • 2024-01-01
  • Journal of Sensor Science and Technology, Vol.33, pp.516-524
  • Korean Sensors Society
3-D dispersion model for simulation of accidental toxic gas releases in a metropolitan area
  • 2021-03-01
  • Journal of Loss Prevention in the Process Industries, Vol.69
  • Elsevier Ltd
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