A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids
Microgrids have recently emerged as a building block for smart grids combining distributed
renewable energy sources (RESs), energy storage devices, and load management …
renewable energy sources (RESs), energy storage devices, and load management …
AI-based fog and edge computing: A systematic review, taxonomy and future directions
Resource management in computing is a very challenging problem that involves making
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse …
Exploring the influence of artificial intelligence technology on consumer repurchase intention: The mediation and moderation approach
Digital technologies have dramatically changed business practices and consumer buying
behavior. This study integrates artificial intelligence technology, consumer engagement on …
behavior. This study integrates artificial intelligence technology, consumer engagement on …
Distance learning during the COVID-19 pandemic: School closure in Indonesia
This study investigates the distance learning process of teachers during school closure due
to COVID-19's impact. This research focuses on the introduction of distance learning, the …
to COVID-19's impact. This research focuses on the introduction of distance learning, the …
Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study
Abstract The novel coronavirus (COVID-19) has significantly spread over the world and
comes up with new challenges to the research community. Although governments imposing …
comes up with new challenges to the research community. Although governments imposing …
An intelligent framework using disruptive technologies for COVID-19 analysis
This paper describes a framework using disruptive technologies for COVID-19 analysis.
Disruptive technologies include high-tech and emerging technologies such as AI, industry …
Disruptive technologies include high-tech and emerging technologies such as AI, industry …
A novel medical diagnosis model for COVID-19 infection detection based on deep features and Bayesian optimization
A pneumonia of unknown causes, which was detected in Wuhan, China, and spread rapidly
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
throughout the world, was declared as Coronavirus disease 2019 (COVID-19). Thousands …
Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …
[HTML][HTML] Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare
Integration of digital technologies and public health (or digital healthcare) helps us to fight
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
Industry 5.0: Potential applications in COVID-19
Industry 5.0, the fifth industrial revolution, consists of smart digital information and
manufacturing technologies. This industrial revolution generates effective processes and …
manufacturing technologies. This industrial revolution generates effective processes and …