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Research on the data processing methods of airborne vector gravimetry using SINS/GNSS
Ning Jinsheng
Strategic Study of CAE 2014, Volume 16, Issue 3, Pages 4-13
Airborne vector gravimetry is an advanced and efficient technology to determine high frequency informationand satellite gravimetry.The principle of airborne vector gravimetry using SINS(strapdown inertial navigation system)/GNSS(globalvector gravimetry.It provides the support for the development of airborne vector gravimetry in our country.
Keywords: airborne vector gravimetry SINS/GNSS data fusion earth gravity field geoid
Lu Song, Can Wang, Yizhu Wang
Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1289-y
Advances in airborne microorganisms detection using biosensors: A critical review
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8
Keywords: Biosensor Airborne microorganisms Microbiological detection technology
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1356-4
•Bacterial concentrations from eight stages were 104–105copies/m3.
Keywords: Size distribution Airborne bacteria Biological diversity Human pathogenic bacteria Composting plants
Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere
Lu Song, Can Wang, Yizhu Wang
Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1274-5
Keywords: Airborne tetracycline resistance genes Filter sampling Capture loading Membrane pretreatment Indoor laboratory
Airborne Wind Energy Prepares for Take Off
Peter Weiss
Engineering 2020, Volume 6, Issue 2, Pages 107-109 doi: 10.1016/j.eng.2019.12.002
Airborne bacteria associated with particulate matter from a highly urbanised metropolis: A potential
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 9, doi: 10.1007/s11783-022-1552-5
• The airborne bacteria of Mexico City are representative of urban environments
Keywords: Airborne bacteria Urbanisation PM10 Mexico City Microbiome
Erratum to “After Highflyer Crashes, Airborne Wind Energy Regroups” [Engineering 7 (2021) 277–279]
Peter Weiss
Engineering 2021, Volume 7, Issue 10, Pages 1506-1506 doi: 10.1016/j.eng.2021.08.004
Effects of heavy rainfall on the composition of airborne bacterial communities
Gwang Il Jang, Chung Yeon Hwang, Byung Cheol Cho
Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 2, doi: 10.1007/s11783-018-1008-0
Keywords: Aerosol Bacteria Community composition Pyrosequencing Rain
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 1, Pages 72-82 doi: 10.1007/s11709-013-0185-y
Keywords: earthquake cone penetration test liquefaction support vector machine (SVM) prediction
A. CHITRA,S. HIMAVATHI
Frontiers in Energy 2015, Volume 9, Issue 1, Pages 22-30 doi: 10.1007/s11708-014-0339-1
Keywords: neural networks back propagation (BP) rotor resistance estimators vector control induction motor
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2, Pages 520-536 doi: 10.1007/s11709-021-0689-9
Keywords: unconfined compressive strength artificial neural network support vector machine predictive models regression
Efficiency of scalar and vector intensity measures for seismic slope displacements
Gang WANG
Frontiers of Structural and Civil Engineering 2012, Volume 6, Issue 1, Pages 44-52 doi: 10.1007/s11709-012-0138-x
Keywords: seismic slope displacements intensity measures empirical prediction
Construction and identification of lentiviral RNA interference vector of rat leptin receptor gene
Zhengjuan LIU, Jie BIAN, Yuchuan WANG, Yongli ZHAO, Dong YAN, Xiaoxia WANG
Frontiers of Medicine 2009, Volume 3, Issue 1, Pages 57-60 doi: 10.1007/s11684-009-0003-z
Keywords: receptors leptin RNA interference lentivirus vector
Title Author Date Type Operation
Research on the data processing methods of airborne vector gravimetry using SINS/GNSS
Ning Jinsheng
Journal Article
Erratum to: Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere
Lu Song, Can Wang, Yizhu Wang
Journal Article
The size distribution of airborne bacteria and human pathogenic bacteria in a commercial composting plant
Journal Article
Optimized determination of airborne tetracycline resistance genes in laboratory atmosphere
Lu Song, Can Wang, Yizhu Wang
Journal Article
Airborne bacteria associated with particulate matter from a highly urbanised metropolis: A potential
Journal Article
Erratum to “After Highflyer Crashes, Airborne Wind Energy Regroups” [Engineering 7 (2021) 277–279]
Peter Weiss
Journal Article
A CFD study of the transport and fate of airborne droplets in a ventilated office: The role of droplet
Journal Article
Effects of heavy rainfall on the composition of airborne bacterial communities
Gwang Il Jang, Chung Yeon Hwang, Byung Cheol Cho
Journal Article
Liquefaction prediction using support vector machine model based on cone penetration data
Pijush SAMUI
Journal Article
A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction
A. CHITRA,S. HIMAVATHI
Journal Article
Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support vector
Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI
Journal Article
Efficiency of scalar and vector intensity measures for seismic slope displacements
Gang WANG
Journal Article