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STAM-LSGRU: a spatiotemporal radar echo extrapolation algorithm with edge computing for short-term forecasting
With the advent of Mobile Edge Computing (MEC), shifting data processing from cloud centers to the network edge presents an advanced computational...
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Recognizing online video genres using ensemble deep convolutional learning for digital media service management
It's evident that streaming services increasingly seek to automate the generation of film genres, a factor profoundly sha** a film's structure and...
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Constrained optimal grou** of cloud application components
Cloud applications are built from a set of components often deployed as containers, which can be deployed individually on separate Virtual Machines...
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Efficient and secure privacy protection scheme and consensus mechanism in MEC enabled e-commerce consortium blockchain
The application of blockchain technology to the field of e-commerce has solved many dilemmas, such as low transparency of transactions, hidden risks...
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Students health physique information sharing in publicly collaborative services over edge-cloud networks
Data privacy is playing a vital role while facing the digital life aspects. Today, the world is being extensively inter-connected through the...
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A mobile edge computing-focused transferable sensitive data identification method based on product quantization
Sensitive data identification represents the initial and crucial step in safeguarding sensitive information. With the ongoing evolution of the...
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Blockchain-based 6G task offloading and cooperative computing resource allocation study
In the upcoming era of 6G, the accelerated development of the Internet of Everything and high-speed communication is poised to provide people with an...
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Deep Reinforcement Learning techniques for dynamic task offloading in the 5G edge-cloud continuum
The integration of new Internet of Things (IoT) applications and services heavily relies on task offloading to external devices due to the...
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Enhancing patient healthcare with mobile edge computing and 5G: challenges and solutions for secure online health tools
Patient-focused healthcare applications are important to patients because they offer a range of advantages that add value and improve the overall...
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Online dynamic multi-user computation offloading and resource allocation for HAP-assisted MEC: an energy efficient approach
Nowadays, the paradigm of mobile computing is evolving from a centralized cloud model towards Mobile Edge Computing (MEC). In regions without ground...
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Enhancing lung cancer diagnosis with data fusion and mobile edge computing using DenseNet and CNN
The recent advancements in automated lung cancer diagnosis through the application of Convolutional Neural Networks (CNN) on Computed Tomography (CT)...
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Cross-chain asset trading scheme for notaries based on edge cloud storage
Blockchain has penetrated in various fields, such as finance, healthcare, supply chain, and intelligent transportation, but the value exchange...
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An overview of QoS-aware load balancing techniques in SDN-based IoT networks
Increasing and heterogeneous service demands have led to traffic increase, and load imbalance challenges among network entities in the Internet of...
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MSCO: Mobility-aware Secure Computation Offloading in blockchain-enabled Fog computing environments
Fog computing has evolved as a promising computing paradigm to support the execution of latency-sensitive Internet of Things (IoT) applications. The...
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Provably secure data selective sharing scheme with cloud-based decentralized trust management systems
The smart collection and sharing of data is an important part of cloud-based systems, since huge amounts of data are being created all the time. This...
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Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets
Social networks are popular for advertising, idea sharing, and opinion formation. Due to COVID-19, coronavirus information disseminated on social...
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Traffic prediction for diverse edge IoT data using graph network
More researchers are proposing artificial intelligence algorithms for Internet of Things (IoT) devices and applying them to themes such as smart...
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A cloud-edge computing architecture for monitoring protective equipment
The proper use of protective equipment is very important to avoid fatalities. One sector in which this has a great impact is that of construction...
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Predicting UPDRS in Parkinson’s disease using ensembles of self-organizing map and neuro-fuzzy
Parkinson's Disease (PD) is a complex, degenerative disease that affects nerve cells that are responsible for body movement. Artificial Intelligence...
