[PDF][PDF] New insights into the research landscape on the application of artificial intelligence in sustainable smart cities: a bibliometric mapping and network analysis …
Humanity's quest for safe, resilient, and liveable cities has prompted research into the
application of computational tools in the design and development of sustainable smart cities …
application of computational tools in the design and development of sustainable smart cities …
Digital twins for precision healthcare
Precision healthcare is an emerging concept that will see technology-driven digital
transformation of the health service. It enables customised patient outcomes via the …
transformation of the health service. It enables customised patient outcomes via the …
Optimizing resources allocation for fog computing-based Internet of Things networks
In the wireless Internet of Things (IoT) networks with resource-constrained devices, fog
computing has been introduced to deal with the computation-intensive applications at the …
computing has been introduced to deal with the computation-intensive applications at the …
Systematic literature review on the security challenges of blockchain in IoT-based smart cities
Purpose Security is the most important issue in Internet of Things (IoT)-based smart cities
and blockchain (BC). So, the present paper aims to detect and organize the literature …
and blockchain (BC). So, the present paper aims to detect and organize the literature …
Secure computation offloading in blockchain based IoT networks with deep reinforcement learning
For current and future Internet of Things (IoT) networks, mobile edge-cloud computation
offloading (MECCO) has been regarded as a promising means to support delay-sensitive …
offloading (MECCO) has been regarded as a promising means to support delay-sensitive …
BC-EdgeFL: A defensive transmission model based on blockchain-assisted reinforced federated learning in IIoT environment
Under the times of the Industrial Internet of Things, the traditional centralized machine
learning management method cannot deal with such huge data streams, and the problem of …
learning management method cannot deal with such huge data streams, and the problem of …
A multimodal, multimedia point-of-care deep learning framework for COVID-19 diagnosis
In this article, we share our experiences in designing and developing a suite of deep neural
network–(DNN) based COVID-19 case detection and recognition framework. Existing …
network–(DNN) based COVID-19 case detection and recognition framework. Existing …
An efficient forensics architecture in software-defined networking-IoT using blockchain technology
M Pourvahab, G Ekbatanifard - Ieee Access, 2019 - ieeexplore.ieee.org
A Potential solution for solving forensic is the use of blockchain in software-defined
networking (SDN). The blockchain is a distributed peer-to-peer network that can be utilized …
networking (SDN). The blockchain is a distributed peer-to-peer network that can be utilized …
[HTML][HTML] The impact of the digital economy on the servitization of industrial structures: The moderating effect of human capital
R Ran, X Wang, T Wang, L Hua - Data Science and Management, 2023 - Elsevier
The digital economy, which was born during the late third technological revolution, has
caused significant economic and societal changes. Amid sluggish global economic growth …
caused significant economic and societal changes. Amid sluggish global economic growth …
Blockchain for Internet of things applications: A review and open issues
Blockchain and the Internet of things (IoT) systems are attracting more and more research
efforts from both academia and industry. Blockchain is rapidly evolving to be a new …
efforts from both academia and industry. Blockchain is rapidly evolving to be a new …