Electrical Engineering: Recent submissions
Now showing items 441-460 of 2813
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LPPDA: A Light-Weight Privacy-Preserving Data Aggregation Protocol for Smart Grids
( IEEE Explore , 2023 , Article)Smart meters are continuously being deployed in several countries as a step in the direction of modernizing the power grid. Smart meters allow for automatic electricity consumption reporting to energy providers to facilitate ... -
RamanNet: a generalized neural network architecture for Raman spectrum analysis
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Raman spectroscopy provides a vibrational profile of the molecules and thus can be used to uniquely identify different kinds of materials. This sort of molecule fingerprinting has thus led to the widespread application of ... -
A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound
( MDPI , 2023 , Article)Transcranial doppler (TCD) ultrasound is a non-invasive imaging technique that can be used for continuous monitoring of blood flow in the brain through the major cerebral arteries by calculating the cerebral blood flow ... -
Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions
( MDPI , 2023 , Article Review)The carotid artery is a major blood vessel that supplies blood to the brain. Plaque buildup in the arteries can lead to cardiovascular diseases such as atherosclerosis, stroke, ruptured arteries, and even death. Both ... -
Deep Learning-Based Conjunctival Melanoma Detection Using Ocular Surface Images
( springer link , 2023 , Article)The human eye could be affected with conjunctival melanoma, which indicates a fatal malignant growth of the eye. Being a very rare disease, there exists a lack of related data in the literature. Also, very few studies ... -
A Hardware Based Ricean Fading Radio Channel Simulator
( IEEE Xplore , 2017 , Conference)The rise of the need of fading radio channel simulators is due to time and cost of field tests of wireless communications systems. Growth in the demand for fixed wireless access increases the need for wide area system ... -
Deep Learning Technique for Congenital Heart Disease Detection Using Stacking-Based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study
( IEEE , 2023 , Article)Congenital heart defects (CHDs) are a leading cause of death in infants under 1 year of age. Prenatal intervention can reduce the risk of postnatal serious CHD patients, but current diagnosis is based on qualitative criteria, ... -
BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data
( Springer Science and Business Media Deutschland GmbH , 2023 , Article)Nowadays, quick, and accurate diagnosis of COVID-19 is a pressing need. This study presents a multimodal system to meet this need. The presented system employs a machine learning module that learns the required knowledge ... -
Impact of surface coating on electrochemical and thermal behaviors of a Li-rich Li1.2Ni0.16Mn0.56Co0.08O2 cathode
( Royal Society of Chemistry , 2020 , Article)Lithium-rich layered oxide materials are considered as potential cathode materials for future high-performance lithium-ion batteries (LIBs) owing to their high operating voltage and relatively high specific capacity. ... -
Virtual and Augmented Reality in Surgery
( Springer , 2020 , Book chapter)To provide an overview of the novel applications of Augmented Reality (AR) and Virtual Reality (VR) technologies within the realm of Surgery. This chapter will clarify the concepts associated with AR and VR in the context ... -
A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN
( Elsevier , 2024 , Article)The non-invasive fetal electrocardiogram (fECG) enables easy detection of developing heart abnormalities, leading to a significant reduction in infant mortality rate and post-natal complications. Due to the overlapping of ... -
Representation based regression for object distance estimation
( Elsevier , 2023 , Article)In this study, we propose a novel approach to predict the distances of the detected objects in an observed scene. The proposed approach modifies the recently proposed Convolutional Support Estimator Networks (CSENs). CSENs ... -
Global ECG Classification by Self-Operational Neural Networks with Feature Injection
( IEEE Computer Society , 2023 , Article)Objective: Global (inter-patient) ECG classification for arrhythmia detection over Electrocardiogram (ECG) signal is a challenging task for both humans and machines. Automating this process with utmost accuracy is, therefore, ... -
Zero-shot transfer learning for structural health monitoring using generative adversarial networks and spectral mapping
( Elsevier , 2023 , Article)Gathering properly labeled, adequately rich, and case-specific data for successfully training a purely data-driven or hybrid model for structural health monitoring (SHM) applications is a challenging task. We posit that a ... -
SELF-ORGANIZED RESIDUAL BLOCKS FOR IMAGE SUPER-RESOLUTION
( IEEE Computer Society , 2021 , Conference)It has become a standard practice to use the convolutional networks (ConvNet) with RELU non-linearity in image restoration and super-resolution (SR). Although the universal approximation theorem states that a multi-layer ... -
Early Myocardial Infarction Detection with One-Class Classification over Multi-view Echocardiography
( IEEE Computer Society , 2022 , Conference)Myocardial infarction (MI) is the leading cause of mortaZity and morbidity in the world. Early therapeutics of MI can ensure the prevention of further myocardial necrosis. Echocardiography is the fundamental imaging technique ... -
SELF-ORGANIZED VARIATIONAL AUTOENCODERS (SELF-VAE) FOR LEARNED IMAGE COMPRESSION
( IEEE Computer Society , 2021 , Conference)In end-to-end optimized learned image compression, it is standard practice to use a convolutional variational autoencoder with generalized divisive normalization (GDN) to transform images into a latent space. Recently, ... -
Improved Domain Adaptation Approach for Bearing Fault Diagnosis
( IEEE Computer Society , 2022 , Conference)Application of domain adaptation techniques to predictive maintenance of modern electric rotating machinery (RM) has significant potential with the goal of transferring or adaptation of a fault diagnosis model developed ... -
SRL-SOA: SELF-REPRESENTATION LEARNING WITH SPARSE 1D-OPERATIONAL AUTOENCODER FOR HYPERSPECTRAL IMAGE BAND SELECTION
( IEEE Computer Society , 2022 , Conference)The band selection in the hyperspectral image (HSI) data processing is an important task considering its effect on the computational complexity and accuracy. In this work, we propose a novel framework for the band selection ... -
BM3D VS 2-LAYER ONN
( IEEE Computer Society , 2021 , Conference)Despite their recent success on image denoising, the need for deep and complex architectures still hinders the practical usage of CNNs. Older but computationally more efficient methods such as BM3D remain a popular choice, ...
