Browsing Electrical Engineering by Subject "machine learning"
Now showing items 1-20 of 23
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A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument
( MDPI , 2023 , Article)Diabetic sensorimotor polyneuropathy (DSPN) is a serious long-term complication of diabetes, which may lead to foot ulceration and amputation. Among the screening tools for DSPN, the Michigan neuropathy screening instrument ... -
A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)According to statistics, developing countries all over the world have suffered significant non-technical losses (NTLs) both in natural gas and electricity distribution. NTLs are thought of as energy that is consumed but ... -
A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images
( MDPI , 2022 , Article)Diabetes mellitus (DM) is one of the most prevalent diseases in the world, and is correlated to a high index of mortality. One of its major complications is diabetic foot, leading to plantar ulcers, amputation, and death. ... -
A Novel Non-Invasive Estimation of Respiration Rate from Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Respiratory ailments such as asthma, chronic obstructive pulmonary disease (COPD), pneumonia, and lung cancer are life-Threatening. Respiration rate (RR) is a vital indicator of the wellness of a patient. Continuous ... -
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
( IEEE , 2022 , Article)5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive multimedia applications (e.g., ultra high ... -
Autoimmune Diseases of the GI Tract Part II: Emergence of Diagnostic Tools and Treatments
( IntechOpen , 2022 , Book chapter)Autoimmune diseases (AD) have emerged as a pandemic in our modern societies, especially after the World War II. In part I, we have reviewed five main diseases and shed light on different aspects from introducing the concept ... -
Automated quantification of penile curvature using artificial intelligence
( Frontiers Media S.A. , 2022 , Article)Objective: To develop and validate an artificial intelligence (AI)-based algorithm for capturing automated measurements of Penile curvature (PC) based on 2-dimensional images. Materials and methods: Nine 3D-printed ... -
Can AI Help in Screening Viral and COVID-19 Pneumonia?
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 ... -
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
( MDPI , 2022 , Article)Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. ... -
Differentiation and classification of bacterial endotoxins based on surface enhanced Raman scattering and advanced machine learning
( Royal Society of Chemistry , 2022 , Article)Bacterial endotoxin, a major component of the Gram-negative bacterial outer membrane leaflet, is a lipopolysaccharide shed from bacteria during their growth and infection and can be utilized as a biomarker for bacterial ... -
Drones for Sheep Livestock Monitoring
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)Nowadays, Unmanned Aerial Vehicles (UAV) have been included in many more applications such as package delivery, traffic monitoring, etc; and one of its potential applications is agriculture. This work demonstrates the ... -
Expatriates' Housing Dispersal Outlook in a Rapidly Developing Metropolis Based on Urban Growth Predicted Using a Machine Learning Algorithm
( Routledge , 2021 , Article)Housing dispersal in emerging cities should be investigated as it occurs to achieve a better understanding of future housing dispersal. In this study, housing preferences are analyzed in Doha Metropolitan Area based on ... -
Household Electricity Consumer Classification Using Novel Clustering Approach, Review, and Case Study
( MDPI , 2022 , Article)There is an increasing demand for electricity on a global level. Thus, the utility companies are looking for the effective implementation of demand response management (DRM). For this, utility companies should know the ... -
Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal
( MDPI , 2022 , Article)Respiratory ailments are a very serious health issue and can be life-threatening, especially for patients with COVID. Respiration rate (RR) is a very important vital health indicator for patients. Any abnormality in this ... -
Long-term performance analysis and power prediction of PV technology in the State of Qatar
( Elsevier Ltd , 2017 , Article)?Solar photovoltaic (PV) energy in GCC?- the term seems convincing to many solar PV industries due to high solar exposure in GCC region. However, long-term effects such as dust accumulation and seasonal variation are major ... -
Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait
( MDPI , 2022 , Article)Diabetic neuropathy (DN) is one of the prevalent forms of neuropathy that involves alterations in biomechanical changes in the human gait. Diabetic foot ulceration (DFU) is one of the pervasive types of complications that ... -
Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning
( MDPI , 2022 , Article)With the onset of the COVID-19 pandemic, the number of critically sick patients in intensive care units (ICUs) has increased worldwide, putting a burden on ICUs. Early prediction of ICU requirement is crucial for efficient ... -
QU-GM: An IoT Based Glucose Monitoring System from Photoplethysmography, Blood Pressure, and Demographic Data Using Machine Learning
( Institute of Electrical and Electronics Engineers Inc. , 2024 , Article)Patients with hyperglycemia require routine glucose monitoring to effectively treat their condition. We have developed a lightweight wristband device to capture Photoplethysmography (PPG) signals. We collected PPG signals, ... -
Reinforcement Learning Based EV Charging Management Systems-A Review
( IEEE , 2021 , Article)To mitigate global warming and energy shortage, integration of renewable energy generation sources, energy storage systems, and plug-in electric vehicles (PEVs) have been introduced in recent years. The application of ... -
Self-organized Operational Neural Networks with Generative Neurons
( Elsevier Ltd , 2021 , Article)Operational Neural Networks (ONNs) have recently been proposed to address the well-known limitations and drawbacks of conventional Convolutional Neural Networks (CNNs) such as network homogeneity with the sole linear neuron ...