Electrical Engineering: Recent submissions
Now showing items 561-580 of 2811
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Thermal Change Index-Based Diabetic Foot Thermogram Image Classification Using Machine Learning Techniques
( MDPI , 2022 , Article)Diabetes mellitus (DM) can lead to plantar ulcers, amputation and death. Plantar foot thermogram images acquired using an infrared camera have been shown to detect changes in temperature distribution associated with a ... -
Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies
( MDPI , 2022 , Article)Biodegradable polymers have recently found significant applications in pharmaceutics processing and drug release/delivery. Composites based on poly (L-lactic acid) (PLLA) have been suggested to enhance the crystallization ... -
An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning
( Elsevier , 2022 , Article)Tai Chi has been proven effective in preventing falls in older adults, improving the joint function of knee osteoarthritis patients, and improving the balance of stroke survivors. However, the effect of Tai Chi on human ... -
Effect of zirconia nanotube coating on the hydrophilicity and mechanochemical behavior of zirconium for biomedical applications
( Elsevier , 2022 , Article)Zirconium has attracted considerable attention in the biomedical field owing to its biocompatibility and desirable tribological and mechanical properties. In this study, we anodized pure zirconium in an ammonium fluoride ... -
A Review of Biomaterials and Associated Performance Metrics Analysis in Pre-Clinical Finite Element Model and in Implementation Stages for Total Hip Implant System
( MDPI , 2022 , Article Review)Total hip replacement (THR) is a common orthopedic surgery technique that helps thousands of individuals to live normal lives each year. A hip replacement replaces the shattered cartilage and bone with an implant. Most hip ... -
PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms
( MDPI , 2022 , Article)Cardiovascular diseases are one of the most severe causes of mortality, annually taking a heavy toll on lives worldwide. Continuous monitoring of blood pressure seems to be the most viable option, but this demands an ... -
Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies
( Hindawi Limited , 2022 , Article)Background. Diabetic sensorimotor polyneuropathy (DSPN) is a major form of complication that arises in long-term diabetic patients. Even though the application of machine learning (ML) in disease diagnosis is very common ... -
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)The reliable and rapid identification of the COVID-19 has become crucial to prevent the rapid spread of the disease, ease lockdown restrictions and reduce pressure on public health infrastructures. Recently, several methods ... -
Novel and robust machine learning approach for estimating the fouling factor in heat exchangers
( Elsevier , 2022 , Article)The fouling factor (Rf) is an operating index for measuring an undesirable effect of solids’ deposition on the heat transfer ability of heat exchangers. Accurate prediction of the fouling factor helps appropriate scheduling ... -
Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media
( MDPI , 2022 , Article)This study constructs a machine learning method to simultaneously analyze the thermodynamic behavior of many polymer-drug systems. The solubility temperature of Acetaminophen, Celecoxib, Chloramphenicol, D-Mannitol, ... -
Blind ECG Restoration by Operational Cycle-GANs
( IEEE Computer Society , 2022 , Article)Objective: ECG recordings often suffer from a set of artifacts with varying types, severities, and durations, and this makes an accurate diagnosis by machines or medical doctors difficult and unreliable. Numerous studies ... -
Custom Hardware Architectures for Deep Learning on Portable Devices: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, ... -
Motion Artifacts Correction from EEG and fNIRS Signals Using Novel Multiresolution Analysis
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Physiological signal measurement and processing are increasingly becoming popular in the ambulatory setting as the hospital-centric treatment is moving towards wearable and ubiquitous monitoring. Most of the physiological ... -
MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network
( Springer Science and Business Media Deutschland GmbH , 2022 , Article)Electroencephalogram (EEG) signals suffer substantially from motion artifacts when recorded in ambulatory settings utilizing wearable sensors. Because the diagnosis of many neurological diseases is heavily reliant on clean ... -
HipXNet: Deep Learning Approaches to Detect Aseptic Loos-Ening of Hip Implants Using X-Ray Images
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Radiographic images are commonly used to detect aseptic loosening of the hip implant in patients with total hip replacement (THR) surgeries. These techniques of manual assessment by medical professionals can suffer from ... -
Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)Although numerous R-peak detectors have been proposed in the literature, their robustness and performance levels may significantly deteriorate in low-quality and noisy signals acquired from mobile electrocardiogram (ECG) ... -
A Review and Analysis of the Effects of Colors of Light On the Performance of Solar Photovoltaic Panels
( Penerbit UTHM , 2022 , Article)Solar energy is quite simple as the energy can be obtained from the sun directly. Solar energy is categorized as one of the best renewable energy since it does not emit carbon dioxide and because of unlimited supports from ... -
Finite Element Analysis of the Mechanism of Traumatic Aortic Rupture (TAR)
( Hindawi Limited , 2020 , Article)As many as 80% of patients with TAR die on the spot while out of those reaching a hospital, 30% would die within 24 hours. Thus, it is essential to better understand and prevent this injury. The exact mechanics of TAR are ... -
Enhance data availability and network consistency using artificial neural network for IoT
( Springer , 2022 , Article)IoT networks have become famous and utilized in many industries such as agriculture, medical, manufacture, and others due to their efficiency and productivity. WSN is an IoT network used for smart farming and smart health ... -
OSEGNET: OPERATIONAL SEGMENTATION NETWORK FOR COVID-19 DETECTION USING CHEST X-RAY IMAGES
( IEEE , 2022 , Conference)Coronavirus disease 2019 (COVID-19) has been diagnosed automatically using Machine Learning algorithms over chest X-ray (CXR) images. However, most of the earlier studies used Deep Learning models over scarce datasets ...
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