Comparative framework for AC-microgrid protection schemes: challenges, solutions, real applications, and future trends

AN Sheta, GM Abdulsalam… - Protection and control …, 2023 - ieeexplore.ieee.org
With the rapid development of electrical power systems in recent years, microgrids (MGs)
have become increasingly prevalent. MGs improve network efficiency and reduce operating …

Texture analysis: a review of neurologic MR imaging applications

A Kassner, RE Thornhill - American Journal of Neuroradiology, 2010 - ajnr.org
Texture analysis describes a variety of image-analysis techniques that quantify the variation
in surface intensity or patterns, including some that are imperceptible to the human visual …

A survey of modulation classification using deep learning: Signal representation and data preprocessing

S Peng, S Sun, YD Yao - IEEE Transactions on Neural …, 2021 - ieeexplore.ieee.org
Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …

ECG signal analysis using DCT-based DOST and PSO optimized SVM

S Raj, KC Ray - IEEE Transactions on instrumentation and …, 2017 - ieeexplore.ieee.org
Signal processing techniques are an obvious choice for real-time analysis of
electrocardiography (ECG) signals. However, classical signal processing techniques are …

A high performance hybrid passive base‐isolated system

L Cao, C Li - Structural Control and Health Monitoring, 2022 - Wiley Online Library
This paper proposes a novel high performance hybrid passive base‐isolated system
integrating the base‐isolated system (BIS) with the tuned tandem mass damper inerters …

Comparing the applications of EMD and EEMD on time–frequency analysis of seismic signal

T Wang, M Zhang, Q Yu, H Zhang - Journal of applied Geophysics, 2012 - Elsevier
The Hilbert–Huang transform (HHT) is a novel signal analysis method in seismic
exploration. It integrates empirical mode decomposition (EMD) and classical Hilbert …

A user study of visualization effectiveness using EEG and cognitive load

EW Anderson, KC Potter, LE Matzen… - Computer graphics …, 2011 - Wiley Online Library
Effectively evaluating visualization techniques is a difficult task often assessed through
feedback from user studies and expert evaluations. This work presents an alternative …

Complex power quality disturbances classification via curvelet transform and deep learning

H Liu, F Hussain, Y Shen, S Arif, A Nazir… - Electric Power Systems …, 2018 - Elsevier
This paper presents a novel approach to detect and classify the power quality disturbance
(PQD) signals based on singular spectrum analysis (SSA), curvelet transform (CT) and deep …

Self-adaptive generalized S-transform and its application in seismic time–frequency analysis

N Liu, J Gao, B Zhang, Q Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Achieving a proper time-frequency (TF) resolution is the key to extract information from
seismic data using TF algorithms and characterize reservoir properties using decomposed …

Investigation of vortex-induced vibration of a suspension bridge with two separated steel box girders based on field measurements

H Li, S Laima, J Ou, X Zhao, W Zhou, Y Yu, N Li… - Engineering …, 2011 - Elsevier
This paper investigates the vortex-induced vibration of a twin steel box girder suspension
bridge with a centre span of 1650 m based on field measurements. Two ultrasonic …