Electrical Engineering: Recent submissions
Now showing items 1461-1480 of 2850
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Classification of polarimetric SAR images using compact convolutional neural networks
( Bellwether Publishing, Ltd. , 2021 , Article)Classification of polarimetric synthetic aperture radar (PolSAR) images is an active research area with a major role in environmental applications. The traditional Machine Learning (ML) methods proposed in this domain ... -
Detection and severity classification of COVID-19 in CT images using deep learning
( MDPI , 2021 , Article)Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients. In this study, a cascaded system is proposed to segment the lung, detect, localize, and quantify COVID-19 infections from ... -
EDITH : ECG Biometrics Aided by Deep Learning for Reliable Individual Authentication
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)In recent years, physiological signal-based authentication has shown great promises, for its inherent robustness against forgery. Electrocardiogram (ECG) signal, being the most widely studied biosignal, has also received ... -
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Support estimation (SE) of a sparse signal refers to finding the location indices of the nonzero elements in a sparse representation. Most of the traditional approaches dealing with SE problems are iterative algorithms ... -
Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Echocardiogram (echo) is the earliest and the primary tool for identifying regional wall motion abnormalities (RWMA) in order to diagnose myocardial infarction (MI) or commonly known as heart attack. This paper proposes a ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference)In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ... -
Matlab/Simulink Modeling and Simulation of Electric Appliances Based on their Actual Current Waveforms
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)This paper presents a novel modeling technique of electric appliances using Matlab/Simulink based on their actual measured current waveforms. Home appliances were used as the study case, but the proposed approach can be ... -
1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals under White Gaussian Noise
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In this study we analyze the signal classification performances of various classifiers for deterministic signals under the additive White Gaussian Noise (WGN) in a wide range of signal to noise ratio (SNR) levels (-40dB ... -
Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference)In this work, we propose to use learned features for terrain classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the learned features are extracted from sliding ... -
Sepsis Prediction in Intensive Care Unit Using Ensemble of XGboost Models
( IEEE Computer Society , 2019 , Conference)Sepsis is caused by the dysregulated host response to infection and potentially is the main cause of 6 million death annually. It is a highly dynamic syndrome and therefore the early prediction of sepsis plays a key role ... -
Convolutional neural networks for real-time and wireless damage detection
( Springer New York LLC , 2020 , Conference)Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ... -
Control of plate vibrations with artificial neural networks and piezoelectricity
( Springer New York LLC , 2020 , Conference)This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ... -
Structural health monitoring with self-organizing maps and artificial neural networks
( Springer New York LLC , 2020 , Conference)The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ... -
Long-term epileptic EEG classification via 2D mapping and textural features
( Elsevier Ltd , 2015 , Article)Interpretation of long-term Electroencephalography (EEG) records is a tiresome task for clinicians. This paper presents an efficient, low cost and novel approach for patient-specific classification of long-term epileptic ... -
ShakeMe: Key generation from shared motion
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)Devices equipped with accelerometer sensors such as today's mobile devices can make use of motion to exchange information. A typical example for shared motion is shaking of two devices which are held together in one hand. ... -
Sleep stage classification using sparse rational decomposition of single channel EEG records
( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference)A sparse representation of ID signals is proposed based on time-frequency analysis using Generalized Rational Discrete Short Time Fourier Transform (RDSTFT). First, the signal is decomposed into a set of frequency sub-bands ... -
K-Subspaces Quantization for Approximate Nearest Neighbor Search
( IEEE Computer Society , 2016 , Article)Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this ... -
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Myocardial infarction (MI), or commonly known as heart attack, is a life-threatening health problem worldwide from which 32.4 million people suffer each year. Early diagnosis and treatment of MI are crucial to prevent ... -
Advance Warning Methodologies for COVID-19 Using Chest X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Coronavirus disease 2019 (COVID-19) has rapidly become a global health concern after its first known detection in December 2019. As a result, accurate and reliable advance warning system for the early diagnosis of COVID-19 ... -
Performance Analysis of Index Modulation Based Multiple Access under Imperfect Channel Estimation
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference)Future generations of wireless communication systems are expected to serve a large number of users with different quality of service requirements. Given the limited spectrum resources, the current multiple access schemes ...
