Resource management approaches in fog computing: a comprehensive review
In recent years, the Internet of Things (IoT) has been one of the most popular technologies
that facilitate new interactions among things and humans to enhance the quality of life. With …
that facilitate new interactions among things and humans to enhance the quality of life. With …
Context-aware scheduling in Fog computing: A survey, taxonomy, challenges and future directions
Fog computing extends Cloud-based facilities and stays in the vicinity of the end-users to
provide an attractive solution to a diverse range of latency-sensitive applications. The …
provide an attractive solution to a diverse range of latency-sensitive applications. The …
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 …
Review of low voltage load forecasting: Methods, applications, and recommendations
The increased digitalisation and monitoring of the energy system opens up numerous
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
opportunities to decarbonise the energy system. Applications on low voltage, local networks …
Towards effective offloading mechanisms in fog computing
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …
Big data in forecasting research: a literature review
L Tang, J Li, H Du, L Li, J Wu, S Wang - Big Data Research, 2022 - Elsevier
With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …
introduced into forecasting research, bringing new knowledge and improving prediction …
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 …
Energy management system in smart buildings based coalition game theory with fog platform and smart meter infrastructure
This paper proposes a central energy management system (EMS) in smart buildings. It is
based on the coalition method for optimal energy sharing between smart buildings. Game …
based on the coalition method for optimal energy sharing between smart buildings. Game …
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 …
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 …