A survey on change detection and time series analysis with applications
With the advent of the digital computer, time series analysis has gained wide attention and is
being applied to many fields of science. This paper reviews many traditional and recent …
being applied to many fields of science. This paper reviews many traditional and recent …
[HTML][HTML] Fault classification in power systems using EMD and SVM
NR Babu, BJ Mohan - Ain Shams Engineering Journal, 2017 - Elsevier
In recent years, power quality has become the main concern in power system engineering.
Classification of power system faults is the first stage for improving power quality and …
Classification of power system faults is the first stage for improving power quality and …
Sea-level variability in the Mediterranean Sea from altimetry and tide gauges
Sea-level variability in the Mediterranean Sea was investigated by means of in-situ (tide-
gauge) and satellite altimetry data over a period spanning two decades (from 1993 to 2012) …
gauge) and satellite altimetry data over a period spanning two decades (from 1993 to 2012) …
Short term wind power prediction based on improved Kriging interpolation, empirical mode decomposition, and closed-loop forecasting engine
N Amjady, O Abedinia - Sustainability, 2017 - mdpi.com
The growing trend of wind generation in power systems and its uncertain nature have
recently highlighted the importance of wind power prediction. In this paper a new wind …
recently highlighted the importance of wind power prediction. In this paper a new wind …
Least-squares wavelet analysis of unequally spaced and non-stationary time series and its applications
E Ghaderpour, SD Pagiatakis - Mathematical Geosciences, 2017 - Springer
Least-squares spectral analysis, an alternative to the classical Fourier transform, is a method
of analyzing unequally spaced and non-stationary time series in their first and second …
of analyzing unequally spaced and non-stationary time series in their first and second …
A robust target detection algorithm based on the fusion of frequency-modulated continuous wave radar and a monocular camera
Y Yang, X Wang, X Wu, X Lan, T Su, Y Guo - Remote Sensing, 2024 - search.proquest.com
Decision-level information fusion methods using radar and vision usually suffer from low
target matching success rates and imprecise multi-target detection accuracy. Therefore, a …
target matching success rates and imprecise multi-target detection accuracy. Therefore, a …
Using Wi-Fi channel state information (CSI) for human activity recognition and fall detection
TZ Chowdhury - 2018 - open.library.ubc.ca
Abstract Human Activity Recognition (HAR) serves a diverse range of human-centric
applications in healthcare, smart homes, and security. Recently, Wi-Fi-based solutions have …
applications in healthcare, smart homes, and security. Recently, Wi-Fi-based solutions have …
Damage modes recognition and Hilbert-Huang transform analyses of CFRP laminates utilizing acoustic emission technique
H WenQin, L Ying, G AiJun, FG Yuan - Applied Composite Materials, 2016 - Springer
Discrimination of acoustic emission (AE) signals related to different damage modes is of
great importance in carbon fiber-reinforced plastic (CFRP) composite materials. To gain a …
great importance in carbon fiber-reinforced plastic (CFRP) composite materials. To gain a …
Approach for identification and classification of HIFs in medium voltage distribution networks
The modern power system operation is faced with numerous challenges related to the
power quality improvements such as identification and classification of power distribution …
power quality improvements such as identification and classification of power distribution …
Multiwavelet transform based license plate detection
The presented framework uses the localization concept of multiwavelet transform and
empirical mode decomposition (EMD) to locate number plate from vehicle. Multiwavelet …
empirical mode decomposition (EMD) to locate number plate from vehicle. Multiwavelet …