At the confluence of artificial intelligence and edge computing in iot-based applications: A review and new perspectives
Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …
privacy preservation, edge computing has emerged as the key support for intelligent …
Impact of internet of things paradigm towards energy consumption prediction: A systematic literature review
YL Cheng, MH Lim, KH Hui - Sustainable Cities and Society, 2022 - Elsevier
The contribution of buildings to energy consumption (both residential and commercial) is
expected to gradually increase by 2040 in developed countries globally. Energy demand is …
expected to gradually increase by 2040 in developed countries globally. Energy demand is …
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 …
Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Early detection of COVID-19 patients is an important issue for treating and …
billions of people. Early detection of COVID-19 patients is an important issue for treating and …
Human monkeypox diagnose (HMD) strategy based on data mining and artificial intelligence techniques
In May 2022, monkeypox re-emerged as a rare zoonotic disease that is an important viral
disease for public health. Monkeypox can be transmitted from animals to humans, between …
disease for public health. Monkeypox can be transmitted from animals to humans, between …
Insight into breast cancer detection: new hybrid feature selection method
WM Shaban - Neural Computing and Applications, 2023 - Springer
Breast cancer, which is also the leading cause of death among women, is one of the most
common forms of the disease that affects females all over the world. The discovery of breast …
common forms of the disease that affects females all over the world. The discovery of breast …
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 …
Social emotion classification of Japanese text information based on SVM and KNN
Q Zhao - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
How to model multi-modal data and rich context information under the same model
framework has become the key to user sentiment analysis in social media. This research …
framework has become the key to user sentiment analysis in social media. This research …