Results 111 to 120 of about 465,256 (146)

Forecasting crude oil prices: A scaled PCA approach

Energy Economics, 2021
In this paper, we employ a novel dimension reduction approach, the scaled principal component analysis (s-PCA), to improve the oil price predictability with technical indicators.
Yudong Wang, Yaojie Zhang, Mengxi He
exaly   +2 more sources

Parallel PCA–KPCA for nonlinear process monitoring

Control Engineering Practice, 2018
Both linear and nonlinear relationships may exist among process variables, and monitoring a process with such complex relationships among variables is imperative. However, individual principal component analysis (PCA) or kernel PCA (KPCA) may not be able
Xuefeng Yan, Qingchao Jiang
exaly   +2 more sources

$\ell _{2,p}$ -Norm Based PCA for Image Recognition

IEEE Transactions on Image Processing, 2018
Quanxue Gao, Qianqian Wang, Feiping Nie
exaly   +2 more sources

Groundwater pollution source identification and apportionment using PMF and PCA-APCA-MLR receptor models in a typical mixed land-use area in Southwestern China.

Science of the Total Environment, 2020
The quality of groundwater in a region is regarded as a function of natural and anthropogenic factors. Receptor models have advantages in source identification and source apportionment by testing the physicochemical properties of receptor samples and ...
Han Zhang, Siqian Cheng, Hongfei Li, Kang Fu, Yi Xu   +4 more
semanticscholar   +1 more source

Information-theoretic feature selection with segmentation-based folded principal component analysis (PCA) for hyperspectral image classification

International Journal of Remote Sensing, 2020
Hyperspectral image (HSI) usually holds information of land cover classes as a set of many contiguous narrow spectral wavelength bands. For its efficient thematic mapping or classification, band (feature) reduction strategies through Feature Extraction ...
M. P. Uddin, M. A. Al Mamun, Masud Ibn Afjal, Md. Ali Hossain   +3 more
semanticscholar   +1 more source

Development of a flavor fingerprint by HS-GC-IMS with PCA for volatile compounds of Tricholoma matsutake Singer.

Food Chemistry, 2019
The flavor fingerprint of Tricholoma matsutake Singer was developed and volatile compounds were investigated by HS-GC-IMS fingerprinting combining with PCA. A total of 25 typical target compounds were identified.
Mengqi Li, Rui-Wen Yang, Hao Zhang, Silu Wang, Dong Chen, Songyi Lin   +5 more
semanticscholar   +1 more source

Dimensionality reduction with IG-PCA and ensemble classifier for network intrusion detection

Comput. Networks, 2019
Handling redundant and irrelevant features in high-dimension datasets has caused a long-term challenge for network anomaly detection. Eliminating such features with spectral information not only speeds up the classification process but also helps ...
F. Salo, Ali Bou Nassif, Aleksander Essex   +2 more
semanticscholar   +1 more source

Dimension reduction of image deep feature using PCA

Journal of Visual Communication and Image Representation, 2019
Convolution neural networks based methods can derive deep features from training images. However, one challenge is that the dimension of the extracted image features increases dramatically with more network layers.
Ji Ma, Yu-Yu Yuan
semanticscholar   +1 more source

Performance Analysis of PCA, Sparse PCA, Kernel PCA and Incremental PCA Algorithms for Heart Failure Prediction

2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), 2020
Heart failure (HF) prediction is a challenging issue in medical informatics and is considered a deadliest disease worldwide. Recent research has been concentrated on features transformation and selection for improved HF prediction.
Atiqur Rehman, Aurangzeb Khan, Muhammad Akhtar Ali, Muhammad Umair Khan, S. Khan, Liaqat Ali   +5 more
semanticscholar   +1 more source

Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index

Tourism Management, 2018
The precise forecasting of tourist volume is a very challenging task. This paper aims to propose an effective model named PCA-ADE-BPNN for forecasting tourist volume based on Baidu index.
Shao-Wen Li, Tao Chen, Lin Wang, Chenghan Ming   +3 more
semanticscholar   +1 more source