Results 61 to 70 of about 231,492 (82)

Two-dimensional PCA: a new approach to appearance-based face representation and recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2004
Jian Yang, David Zhang, Alejandro F Frangi, Jing-yu Yang   +3 more
semanticscholar   +1 more source

A spatial distribution - Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil.

Science of the Total Environment, 2022
With the rapid development of urbanization, heavy metal pollution of soil has received great attention. Over-enrichment of heavy metals in soil may endanger human health.
Jiawei Liu, Hou-qing Kang, Wendong Tao, Hanyu Li, D. He, Lixia Ma, Haojie Tang, Siqi Wu, Kexin Yang, Xuxiang Li   +9 more
semanticscholar   +1 more source

Identifying sources and transport routes of heavy metals in soil with different land uses around a smelting site by GIS based PCA and PMF.

Science of the Total Environment, 2022
Identifying sources and transport routes of heavy metals in soil is necessary for pollution control. This study integrated principal component analysis (PCA), positive matrix factorization (PMF), and geographic information system (GIS) mapping to ...
R. Anaman, C. Peng, Zhichao Jiang, Xu Liu, Ziruo Zhou, Zhao-hui Guo, Xi-yuan Xiao   +6 more
semanticscholar   +1 more source

Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE)

Computer Science Review, 2021
Feature Extraction Algorithms (FEAs) aim to address the curse of dimensionality that makes machine learning algorithms incompetent. Our study conceptually and empirically explores the most representative FEAs.
Farzana Anowar, S. Sadaoui, Bassant Selim   +2 more
semanticscholar   +1 more source

On the Uses of PCA to Characterise Molecular Dynamics Simulations of Biological Macromolecules: Basics and Tips for an Effective Use.

ChemPhysChem, 2022
Principal Component Analysis (PCA) is a procedure widely used to examine data collected from molecular dynamics simulations of biological macromolecules.
J. Palma, Gustavo Pierdominici-Sottile
semanticscholar   +1 more source

A LiDAR SLAM With PCA-Based Feature Extraction and Two-Stage Matching

IEEE Transactions on Instrumentation and Measurement, 2022
Simultaneous localization and mapping (SLAM) has been studied for decades in the field of robotics, in which light detection and ranging (LiDAR) is widely used in various application areas benefiting from its accessibility of direct, accurate, and ...
Shiyi Guo, Zheng Rong, Shuo Wang, Yihong Wu   +3 more
semanticscholar   +1 more source

Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method

IEEE transactions on industrial electronics (1982. Print), 2021
Principal component analysis (PCA) and independent component analysis (ICA) have been widely used for process monitoring in process industry. Since the operation data of blast furnace (BF) ironmaking process contain both non-Gaussian distribution data ...
P. Zhou, Ruiyao Zhang, Jin Xie, Jiping Liu, Hong Wang, T. Chai   +5 more
semanticscholar   +1 more source

Qualitative and quantitative recognition method of drug-producing chemicals based on SnO2 gas sensor with dynamic measurement and PCA weak separation

Sensors and Actuators B: Chemical, 2021
With the rampant drug crime, the detection of drug-producing chemicals has put forward the great demand of multi-type and multi-concentration on-line rapid detection.
Hanyang Ji, Wenbo Qin, Zhenyu Yuan, Fanli Meng   +3 more
semanticscholar   +1 more source

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

Computer Communications, 2020
The entire computing paradigm is changed due to the technological advancements in Information and Communication Technology (ICT). Due to these advancements, various new communication channels are being introduced, out of which the Internet of Things (IoT)
Swarna Priya R.M., Praveen Kumar Reddy Maddikunta, P. M, Srinivas Koppu, T. Gadekallu, C. L. Chowdhary, M. Alazab   +6 more
semanticscholar   +1 more source

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, K. Fu, Yi Xu   +4 more
semanticscholar   +1 more source