A new COVID-19 Patients Detection Strategy (CPDS) based on hybrid feature selection and enhanced KNN classifier
COVID-19 infection is growing in a rapid rate. Due to unavailability of specific drugs, early
detection of (COVID-19) patients is essential for disease cure and control. There is a vital …
detection of (COVID-19) patients is essential for disease cure and control. There is a vital …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
Accurate detection of Covid-19 patients based on Feature Correlated Naïve Bayes (FCNB) classification strategy
The outbreak of Coronavirus (COVID-19) has spread between people around the world at a
rapid rate so that the number of infected people and deaths is increasing quickly every day …
rapid rate so that the number of infected people and deaths is increasing quickly every day …
Smart electrical grids based on cloud, IoT, and big data technologies: state of the art
The smart electrical grid (SEG), that utilizes information for creating a widely distributed
automated energy delivery network, is considered as an advanced digital 2-way power flow …
automated energy delivery network, is considered as an advanced digital 2-way power flow …
A Covid-19's integrated herd immunity (CIHI) based on classifying people vulnerability
Unfortunately, Covid-19 has infected millions of people very quickly, and it continues to
infect people and spreads rapidly. Although there are some common symptoms of Covid-19 …
infect people and spreads rapidly. Although there are some common symptoms of Covid-19 …
A new outlier rejection methodology for supporting load forecasting in smart grids based on big data
Internet of things (IoT) enables smart electrical grids (SEGs) to solve its problems and to
support a lot of tasks. These tasks include power monitoring, demand-side energy …
support a lot of tasks. These tasks include power monitoring, demand-side energy …
A new diagnostic autism spectrum disorder (DASD) strategy using ensemble diagnosis methodology based on blood tests
Abstract Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disease that
impacts a child's way of behavior and social communication. In early childhood, children …
impacts a child's way of behavior and social communication. In early childhood, children …
A fog based load forecasting strategy based on multi-ensemble classification for smart grids
Internet of things (IoT) improves the development and operation of smart electrical grids
(SEGs). Overcoming the cloud challenges, 2-tier architecture is replaced by 3-tier one for …
(SEGs). Overcoming the cloud challenges, 2-tier architecture is replaced by 3-tier one for …
A new traffic congestion prediction strategy (TCPS) based on edge computing
Real-time accurate traffic congestion prediction can enable Intelligent traffic management
systems (ITMSs) that replace traditional systems to improve the efficiency of traffic and …
systems (ITMSs) that replace traditional systems to improve the efficiency of traffic and …
[Retracted] Diminution of Smart Grid with Renewable Sources Using Support Vector Machines for Identification of Regression Losses in Large‐Scale Systems
Y Teekaraman, I Kirpichnikova… - Wireless …, 2022 - Wiley Online Library
This article examines the effect of smart grid systems by implementing artificial intelligence
(AI) technique with application of renewable energy sources (RES). The current state …
(AI) technique with application of renewable energy sources (RES). The current state …