A spatial distribution–Principal component analysis (SD-PCA) model to assess pollution of heavy metals in soil
J Liu, H Kang, W Tao, H Li, D He, L Ma, H Tang… - Science of The Total …, 2023 - Elsevier
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. Assessing …
attention. Over-enrichment of heavy metals in soil may endanger human health. Assessing …
A methodology to characterize 4D post-failure slope instability dynamics using remote sensing measurements: A case study of the Aniangzhai landslide in Sichuan …
A massive landslide often causes long-lasting instability dynamics that need to be analyzed
in detail for risk management and mitigation. Multiple satellite remote sensing observations …
in detail for risk management and mitigation. Multiple satellite remote sensing observations …
A novel approach to automatic seizure detection using computer vision and independent component analysis
Objective Epilepsy is a neurological disease that affects~ 50 million people worldwide, 30%
of which have refractory epilepsy and recurring seizures, which may contribute to higher …
of which have refractory epilepsy and recurring seizures, which may contribute to higher …
Trustworthy and intelligent fault diagnosis with effective denoising and evidential stacked GRU neural network
With the advances in Internet-of-Things and data mining technologies, deep learning-based
approaches have been widely used for intelligent fault diagnosis of manufacturing assets …
approaches have been widely used for intelligent fault diagnosis of manufacturing assets …
A novel method for anomaly detection using beta Hebbian learning and principal component analysis
In this research work a novel two-step system for anomaly detection is presented and tested
over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta …
over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta …
Reactivation of an old landslide in north–central Iran following reservoir impoundment: Results from multisensor satellite time-series analysis
Water impoundment combined with more frequent precipitation extremes due to climate
change increases landslide hazards on the slopes surrounding dam reservoirs. In situ …
change increases landslide hazards on the slopes surrounding dam reservoirs. In situ …
A Coarse-to-Fine Cell Division Approach for Hyperspectral Remote Sensing Image Classification
CNNs are widely used in remote sensing image classification because of its outstanding
feature extraction ability. However, the classification performance is limited by the complexity …
feature extraction ability. However, the classification performance is limited by the complexity …
Unsupervised Learning-Based Unobtrusive Fall Detection Using FMCW Radar
Y Yao, H Zhang, C Liu, F Geng, P Wang… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
It is necessary to detect the fall of the elderly in time. As a noncontact monitoring device,
radar can monitor users without their knowledge and protect their privacy. The unsupervised …
radar can monitor users without their knowledge and protect their privacy. The unsupervised …
Single-Channel Blind Source Separation using Adaptive Mode Separation-Based Wavelet Transform and Density-Based Clustering with Sparse Reconstruction
M Kemiha, A Kacha - Circuits, Systems, and Signal Processing, 2023 - Springer
In this paper, the problem of single-channel blind source separation (SCBSS) is addressed
using a novel approach that combines the adaptive mode separation-based wavelet …
using a novel approach that combines the adaptive mode separation-based wavelet …
Quantum face recognition protocol with ghost imaging
Face recognition is one of the most ubiquitous examples of pattern recognition in machine
learning, with numerous applications in security, access control, and law enforcement …
learning, with numerous applications in security, access control, and law enforcement …