Multi-objective optimization of cutting parameters in high-speed milling based on grey relational analysiscoupled with principal component analysis

Tao FU, Jibin ZHAO, Weijun LIU

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 4,   Pages 445-452 doi: 10.1007/s11465-012-0338-z

Keywords： high-speed milling     grey relational analysis     principal component analysis     parameters optimization    

Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data

Xiu-rui GENG,Lu-yan JI,Kang SUN

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 403-412 doi: 10.1631/FITEE.1600028

Keywords： Non-negative matrix factorization (NMF)     Principal component analysis (PCA)     Endmember     Hyperspectral    

in Qinba Mountain Area Study on the Development of Forestry Industry in Qinba Mountain Area Based on PrincipalComponent Analysis

Zheng Donghui, Hou Hua, Zhai Mingpu, Qu Mei

Strategic Study of CAE 2020, Volume 22, Issue 1,   Pages 120-126 doi: 10.15302/J-SSCAE-2020.01.013

Keywords： Qinba Mountain Area     forestry industry     SWOT method     principal component analysis     ecological environment    

AED-Net: An Abnormal Event Detection Network Article

Tian Wang, Zichen Miao, Yuxin Chen, Yi Zhou, Guangcun Shan, Hichem Snoussi

Engineering 2019, Volume 5, Issue 5,   Pages 930-939 doi: 10.1016/j.eng.2019.02.008

Keywords： Abnormal events detection     Abnormal event detection network     Principal component analysis network     Kernelprincipal component analysis    

Research of mine farmland heavy metal pollution assessment basedon synthetic principal component analysis

Wang Conglu,Wu Chao,Duan Yu

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 180-183

Keywords： synthetic principal components analysis model     mine region soils     heavy metal pollution     assessment    

Indoor carbonyl compounds in an academic building in Beijing, China: concentrations and influencing factors

Chuanjia JIANG, Pengyi ZHANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 184-194 doi: 10.1007/s11783-011-0309-3

Keywords： carbonyl compounds     indoor air     ventilation     human occupancy     source emission rate (SER)     principal componentanalysis (PCA)    

Indicating landfill stabilization state by using leachate property from Laogang Refuse Landfill

LOU Ziyang,CHAI Xiaoli,ZHAO Youcai,SONG Yu,ZHU Nanwen,JIA Jinping

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 3,   Pages 405-410 doi: 10.1007/s11783-013-0565-5

Keywords： landfill stabilization     leachate evolution     principal component analysis    

A dynamic stiffness-based framework for harmonic input estimation and response reconstruction considering damage

Yixian LI; Limin SUN; Wang ZHU; Wei ZHANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 448-460 doi: 10.1007/s11709-022-0805-5

Keywords： dynamic stiffness     principal component analysis     response reconstruction     damage localization     under-determined    

Relationships of nitrous oxide fluxes with water quality parameters in free water surface constructed wetlands

Juan WU, Jian ZHANG, Wenlin JIA, Huijun XIE, Bo ZHANG

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 2,   Pages 241-247 doi: 10.1007/s11783-009-0023-6

Keywords： free water surface constructed wetland     nitrous oxide emission     water quality parameter     principal componentanalysis     multiple linear regression    

Determination of the principal factors of river water quality through cluster analysis method and its

Liang GUO, Ying ZHAO, Peng WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 238-245 doi: 10.1007/s11783-011-0382-7

Keywords： water quality forecast     principal factor     cluster analysis method     artificial neural network    

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 175-183 doi: 10.1007/s11708-017-0471-9

Keywords： regional wind power forecasting     feature set     minimal-redundancy-maximal-relevance (mRMR)     principal componentanalysis (PCA)     locally weighted learning model    

Predicting non-carcinogenic hazard quotients of heavy metals in pepper (

Marzieh Mokarram, Hamid Reza Pourghasemi, Huichun Zhang

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 6, doi: 10.1007/s11783-020-1331-0

Keywords： Heavy metals     Plants     Target Hazard Quotient (THQ)     Principal Component Analysis (PCA)     Random search     Electromagnetic    

Interaction and independence on methane oxidation of landfill cover soil among three impact factors: water, oxygen and ammonium

Pinjing HE, Na YANG, Wenjuan FANG, Fan Lü, Liming SHAO

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 2,   Pages 175-185 doi: 10.1007/s11783-011-0320-8

Keywords： quantitative polymerase chain reaction (PCR)     denaturing gradient gel electrophoresis (DGGE)     principalcomponent analysis (PCA)     canonical correspondence analysis (CCA)    

Static-based early-damage detection using symbolic data analysis and unsupervised learning methods

João Pedro SANTOS,Christian CREMONA,André D. ORCESI,Paulo SILVEIRA,Luis CALADO

Frontiers of Structural and Civil Engineering 2015, Volume 9, Issue 1,   Pages 1-16 doi: 10.1007/s11709-014-0277-3

Keywords： structural health monitoring     early-damage detection     principal component analysis     symbolic data     symbolicdissimilarity measures     cluster analysis     numerical model     damage simulations    

A systematic approach in load disaggregation utilizing a multi-stage classification algorithm for consumer electrical appliances classification

Chuan Choong YANG, Chit Siang SOH, Vooi Voon YAP

Frontiers in Energy 2019, Volume 13, Issue 2,   Pages 386-398 doi: 10.1007/s11708-017-0497-z

Keywords： disaggregation     voltage-current (V-I) trajectory     multi-stage classification algorithm     principalcomponent analysis (PCA)     k-nearest neighbor (k-NN)