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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 …
have become increasingly prevalent. MGs improve network efficiency and reduce operating …
Texture analysis: a review of neurologic MR imaging applications
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 …
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
Modulation classification is one of the key tasks for communications systems monitoring,
management, and control for addressing technical issues, including spectrum awareness …
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 …
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 …
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 …
exploration. It integrates empirical mode decomposition (EMD) and classical Hilbert …
A user study of visualization effectiveness using EEG and cognitive load
Effectively evaluating visualization techniques is a difficult task often assessed through
feedback from user studies and expert evaluations. This work presents an alternative …
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 …
(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
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 …
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
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 …
bridge with a centre span of 1650 m based on field measurements. Two ultrasonic …