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The potential of prostate gland radiomic features in identifying the Gleason score 期刊论文
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 卷号: 144, 页码: 11
作者:  Gong, Lixin;  Xu, Min;  Fang, Mengjie;  He, Bingxi;  Li, Hailin
收藏  |  浏览/下载:20/0  |  提交时间:2022/07/25
Pollution characteristics, spatial distribution, and source identification of heavy metals in road dust in a central eastern city in China: a comprehensive survey 期刊论文
ENVIRONMENTAL MONITORING AND ASSESSMENT, 2021, 卷号: 193, 期号: 12, 页码: 13
作者:  Zhao, Guoyong;  Zhang, Ronglei;  Han, Yan;  Meng, Jianing;  Qiao, Qiang
收藏  |  浏览/下载:19/0  |  提交时间:2022/08/18
Riverine transport and water-sediment exchange of polycyclic aromatic hydrocarbons (PAHs) along the middle-lower Yangtze River, China 期刊论文
JOURNAL OF HAZARDOUS MATERIALS, 2021, 卷号: 403
作者:  Zhao, Zhonghua;  Gong, Xionghu;  Zhang, Lu;  Jin, Miao;  Cai, Yongjiu
收藏  |  浏览/下载:23/0  |  提交时间:2022/03/10
Analysis and prediction of eutrophication for advanced warning of the water quality concerns in Gaoyou Lake 期刊论文
WATER SUPPLY, 2020, 卷号: 20, 期号: 1, 页码: 186-196
作者:  Zhang, Lei;  Cheng, Yu;  Niu, Yulong;  Jiang, Jiahu
收藏  |  浏览/下载:23/0  |  提交时间:2021/11/15
Insights into the long-term pollution trends and sources contributions in Lake Taihu, China using multi-statistic analyses models 期刊论文
CHEMOSPHERE, 2020, 卷号: 242
作者:  Liu, Lili;  Dong, Yongcheng;  Kong, Ming;  Zhou, Jian;  Zhao, Hanbin
收藏  |  浏览/下载:6/0  |  提交时间:2021/11/15
Molecular Compositions and Sources of Organic Aerosols from Urban Atmosphere in the North China Plain during the Wintertime of 2017 期刊论文
AEROSOL AND AIR QUALITY RESEARCH, 2019, 卷号: 19, 期号: 10, 页码: 2267-2280
作者:  Liu, Xiaodi;  Meng, Jingjing;  Hou, Zhanfang;  Yan, Li;  Wang, Gehui
收藏  |  浏览/下载:16/0  |  提交时间:2020/06/05
Pine needles as biomonitors of polybrominated diphenyl ethers and emerging flame retardants in the atmosphere of Shanghai, China: occurrence, spatial distributions, and possible sources 期刊论文
Environmental science and pollution research international, 2019
作者:  Jia Hao-Hao[1];  Wang Xue-Tong[2];  Cheng Hang-Xin[3];  Zhou Ying[4];  Fu Rui[5]
收藏  |  浏览/下载:25/0  |  提交时间:2019/04/22
Elucidating the urban levels, sources and health risks of polycyclic aromatic hydrocarbons (PAHs) in Pakistan: Implications for changing energy demand 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 619, 页码: 165-175
作者:  Hamid, Naima;  Syed, Jabir Hussain;  Junaid, Muhammad;  Mahmood, Adeel;  Li, Jun
收藏  |  浏览/下载:27/0  |  提交时间:2018/03/16
Comparison of four Adaboost algorithm based artificial neural networks in wind speed predictions 期刊论文
Energy Conversion and Management, 2015, 卷号: 92, 页码: 67-81
作者:  Liu, Hui*;  Tian, Hong-Qi;  Li, Yan-Fei;  Zhang, Lei
收藏  |  浏览/下载:21/0  |  提交时间:2019/12/03
AA  Apriori Algorithm  RBF  Radial Basis Functions  SVR  Support Vector Regression  WDF  Weibull Distribution Function  MSM  Markov Switching Model  BI  Bayesian Interface  PM  Persistent Model  AR  Auto Regressive  ANN  artificial neural networks  BSBM  Bayesian Structural Break Model  KRRM  Kernel Ridge Regression Method  ALS  Active Learning Strategies  SAA  Seasonal Adjustment Algorithm  ESM  Exponential Smoothing Method  MLP  Multilayer Perceptron  BP  Back Propagation  KSF  Kalman Short-term Filtering  NWP  Numerical Weather Prediction  GA  Genetic Algorithm  PSO  Particle Swarm Optimization  PCA  Principal Component Analysis  FAC  First-order Adaptive Coefficient  SAC  Second-order Adaptive Coefficient  BT  Bayesian Theory  SBM  Structural Break Modeling  UKF  Unscented Kalman Filter  OFM  Organizing Feature Maps  EMD  Empirical Mode Decomposition  WT  Wavelet Transform  SVM  Support Vector Machine  ARIMA  Auto Regressive Integrated Moving Average  MAS  Multiple Architecture System  MLR  Multiple Linear Regression  Adaboost  Adaptive Boosting  GD-ALR-BP  Gradient Descent with Adaptive Learning Rate Back Propagation  GDM-ALR-BP  Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation  CG-BP-FR  Conjugate Gradient Back Propagation with Fletcher-Reeves Updates  BFGS  Broyden–Fletcher–Goldfarb–Shanno  Wind energy  Wind speed forecasting  Wind speed predictions  Adaboost algorithm  Neural networks  
Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks 期刊论文
Applied Energy, 2015, 卷号: 157, 页码: 183-194
作者:  Liu, Hui*;  Tian, Hong-Qi;  Liang, Xi-Feng;  Li, Yan-Fei
收藏  |  浏览/下载:25/0  |  提交时间:2019/12/03
ARIMA  Auto Regressive Integrated Moving Average  ANN  Artificial Neural Networks  KF  Kalman Filter  MSM  Markov Switching Model  PCA  Principal Component Analysis  AA  Apriori Algorithm  BT  Bayesian Theory  SBM  Structural Break Modeling  GMCM  Gaussian Mixture Copula Model  NWP  Numerical Weather Prediction  KSF  Kalman Short-term Filtering  HIRLAM  High Resolution Limited Area Model  BP  Back Propagation  RBF  Radial Basis Function  ALE  Adaptive Linear Element  MAS  Multiple Architecture System  MLR  Multiple Linear Regression  MLP  Multi-Layer Perceptron  RBF  Radial Basis Function  SVM  Support Vector Machine  ABA  Ada-boost Algorithm  PSO  Particle Swarm Optimization  FAC  First-order Adaptive Coefficient  SAC  Second-order Adaptive Coefficient  SAA  Seasonal Adjustment Algorithm  ESM  Exponential Smoothing Method  MFNN  Multi-layer Feed-forward Neural Networks  FRR  Fuzzy Rough Regression  ELM  Extreme Learning Machines  MM5  Fifth Generation Mesoscale Model  GNWP  Global Numerical Weather Prediction  EPA  Evolutionary Programming Algorithm  OFM  Organizing Feature Maps  WD  Wavelet Decomposition  WPD  Wavelet Packet Decomposition  NF  Neuro-Fuzzy  ANFIS  Adaptive Neuro-Fuzzy Inference Systems  PM  Persistent Model  UKF  Unscented Kalman Filter  SVR  Support Vector Regression  FEEMD  Fast Ensemble Empirical Mode Decomposition  HM  Hammerstein Model  AR  Auto Regressive  EMD  Empirical Mode Decomposition  SDA  Secondary Decomposition Algorithm  PRWM  Persistent Random Walk Model  IMFs  Intrinsic Mode Functions  EEMD  Ensemble Empirical Mode Decomposition  GD-BP  Gradient Descent Back Propagation  GDM-BP  Gradient Descent with Momentum Back Propagation  GD-ALR-BP  Gradient Descent with Adaptive Learning Rate Back Propagation  GDM-ALR-BP  Gradient Descent with Momentum and Adaptive Learning Rate Back Propagation  CG-BP-FRU  Conjugate Gradient Back Propagation with Fletcher-Reeves Updates  CG-BP-PR  Conjugate Gradient Back Propagation with Polak-Ribiére Update  CG-BP-PBR  Conjugate Gradient Back Propagation with Powell-Beale Restarts  SCG-BP  Scaled Conjugate Gradient Back Propagation  BFGS-BP  Broyden-Fletcher-Goldfarb-Shanno Back Propagation  OSS-BP  One Step Secant Back Propagation  LM-BP  Levenberg Marquardt Back Propagation  MAE  Mean Absolute Error  MAPE  Mean Absolute Percentage Error  RMSE  Root Mean Square Error  Wind speed forecasting  Secondary decomposition algorithm  Wavelet packet decomposition  Fast ensemble empirical mode decomposition  Elman neural networks  


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