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Now showing items 11-20 of 30
Early Detection of Myocardial Infarction in Low-Quality Echocardiography
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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 ...
Real-time phonocardiogram anomaly detection by adaptive 1D Convolutional Neural Networks
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Elsevier B.V.
, 2020 , Article)
The heart sound signals (Phonocardiogram ? PCG) enable the earliest monitoring to detect a potential cardiovascular pathology and have recently become a crucial tool as a diagnostic test in outpatient monitoring to assess ...
Particle swarm clustering fitness evaluation with computational centroids
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Elsevier B.V.
, 2017 , Article)
In this paper, we propose a new way to carry out fitness evaluation in dynamic Particle Swarm Clustering (PSC) with centroid-based encoding. Generally, the PSC fitness function is selected among the clustering validity ...
Operational neural networks
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Springer
, 2020 , Article)
Feed-forward, fully connected artificial neural networks or the so-called multi-layer perceptrons are well-known universal approximators. However, their learning performance varies significantly depending on the function ...
Convolutional Sparse Support Estimator Network (CSEN): From Energy-Efficient Support Estimation to Learning-Aided Compressive Sensing
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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
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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 ...
A Social Distance Estimation and Crowd Monitoring System for Surveillance Cameras
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MDPI
, 2022 , Article)
Social distancing is crucial to restrain the spread of diseases such as COVID-19, but complete adherence to safety guidelines is not guaranteed. Monitoring social distancing through mass surveillance is paramount to develop ...
Progressive Operational Perceptrons with Memory
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Elsevier B.V.
, 2020 , Article)
Generalized Operational Perceptron (GOP) was proposed to generalize the linear neuron model used in the traditional Multilayer Perceptron (MLP) by mimicking the synaptic connections of biological neurons showing nonlinear ...
Heterogeneous Multilayer Generalized Operational Perceptron
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
The traditional multilayer perceptron (MLP) using a McCulloch-Pitts neuron model is inherently limited to a set of neuronal activities, i.e., linear weighted sum followed by nonlinear thresholding step. Previously, generalized ...
Patient-Specific Seizure Detection Using Nonlinear Dynamics and Nullclines
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Nonlinear dynamics has recently been extensively used to study epilepsy due to the complex nature of the neuronal systems. This study presents a novel method that characterizes the dynamic behavior of pediatric seizure ...