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TCP Stratos for stratosphere based computing platforms
Stratosphere computing platforms (SCPs) benefit from free cooling but face challenges necessitating transmission control protocol (TCP) re-design....
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SRA-E-ABCO: terminal task offloading for cloud-edge-end environments
The rapid development of the Internet technology along with the emergence of intelligent applications has put forward higher requirements for task...
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FLM-ICR: a federated learning model for classification of internet of vehicle terminals using connection records
With the rapid growth of Internet of Vehicles (IoV) technology, the performance and privacy of IoV terminals (IoVT) have become increasingly...
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Multi-dimensional resource allocation strategy for LEO satellite communication uplinks based on deep reinforcement learning
In the LEO satellite communication system, the resource utilization rate is very low due to the constrained resources on satellites and the...
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RNA-RBP interactions recognition using multi-label learning and feature attention allocation
In this study, we present a sophisticated multi-label deep learning framework for the prediction of RNA-RBP (RNA-binding protein) interactions, a...
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Edge-cloud computing oriented large-scale online music education mechanism driven by neural networks
With the advent of the big data era, edge cloud computing has developed rapidly. In this era of popular digital music, various technologies have...
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Low-cost and high-performance abnormal trajectory detection based on the GRU model with deep spatiotemporal sequence analysis in cloud computing
Trajectory anomalies serve as early indicators of potential issues and frequently provide valuable insights into event occurrence. Existing methods...
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AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
In Mobile Edge Computing, the framework of federated learning can enable collaborative learning models across edge nodes, without necessitating the...
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Detection of cotton leaf curl disease’s susceptibility scale level based on deep learning
Cotton, a crucial cash crop in Pakistan, faces persistent threats from diseases, notably the Cotton Leaf Curl Virus (CLCuV). Detecting these diseases...
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Automated visual quality assessment for virtual and augmented reality based digital twins
Virtual and augmented reality digital twins are becoming increasingly prevalent in a number of industries, though the production of digital-twin...
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Unified ensemble federated learning with cloud computing for online anomaly detection in energy-efficient wireless sensor networks
Anomaly detection in Wireless Sensor Networks (WSNs) is critical for their reliable and secure operation. Optimizing resource efficiency is crucial...
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Edge intelligence-assisted animation design with large models: a survey
The integration of edge intelligence (EI) in animation design, particularly when dealing with large models, represents a significant advancement in...
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Target tracking using video surveillance for enabling machine vision services at the edge of marine transportation systems based on microwave remote sensing
Automatic target tracking in emerging remote sensing video-generating tools based on microwave imaging technology and radars has been investigated in...
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Multiple objectives dynamic VM placement for application service availability in cloud networks
Ensuring application service availability is a critical aspect of delivering quality cloud computing services. However, placing virtual machines...
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A secure and efficient electronic medical record data sharing scheme based on blockchain and proxy re-encryption
With the rapid development of the Internet of Medical Things (IoMT) and the increasing concern for personal health, sharing Electronic Medical Record...
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Investigation on storage level data integrity strategies in cloud computing: classification, security obstructions, challenges and vulnerability
Cloud computing provides outsourcing of computing services at a lower cost, making it a popular choice for many businesses. In recent years, cloud...
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A fog-edge-enabled intrusion detection system for smart grids
The Smart Grid (SG) heavily depends on the Advanced Metering Infrastructure (AMI) technology, which has shown its vulnerability to intrusions. To...
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Enhanced mechanism to prioritize the cloud data privacy factors using AHP and TOPSIS: a hybrid approach
Cloud computing is a new paradigm in this new cyber era. Nowadays, most organizations are showing more reliability in this environment. The...
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Dynamic routing optimization in software-defined networking based on a metaheuristic algorithm
Optimizing resource allocation and routing to satisfy service needs is paramount in large-scale networks. Software-defined networking (SDN) is a new...
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Multi-type concept drift detection under a dual-layer variable sliding window in frequent pattern mining with cloud computing
The detection of different types of concept drift has wide applications in the fields of cloud computing and security information detection. Concept...
