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Cost-aware workflow offloading in edge-cloud computing using a genetic algorithm
The edge-cloud computing continuum effectively uses fog and cloud servers to meet the quality of service (QoS) requirements of tasks when edge...
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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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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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Small object Lentinula Edodes logs contamination detection method based on improved YOLOv7 in edge-cloud computing
A small object Lentinus Edodes logs contamination detection method (SRW-YOLO) based on improved YOLOv7 in edge-cloud computing environment was...
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Cloud Computing and Edge Cloud Technologies
This chapter covers the details of cloud computing and edge cloud technologies. First, an introduction of how Amazon Web Service (AWS) cloud services...
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Edge Computing with Fog-cloud for Heart Data Processing using Particle Swarm Optimized Deep Learning Technique
Chronic illnesses such as heart disease, diabetes, cancer, and respiratory diseases are complex and pose a significant threat to global health....
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Managing the integration of teaching resources for college physical education using intelligent edge-cloud computing
These days, colleges and universities have accumulated many resources in teaching and scientific research due to the acceleration of education...
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An Optimal Novel Approach for Dynamic Energy-Efficient Task Offloading in Mobile Edge-Cloud Computing Networks
The rapid evolution of mobile devices has greatly advanced secure medical image transmission, yet challenges persist due to resource limitations and...
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Task partitioning and offloading in IoT cloud-edge collaborative computing framework: a survey
Internet of Things (IoT) is made up with growing number of facilities, which are digitalized to have sensing, networking and computing capabilities....
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DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing
In the field of meteorology, the global radar network is indispensable for detecting weather phenomena and offering early warning services....
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Edge and cloud computing approaches in the early diagnosis of skin cancer with attention-based vision transformer through hyperspectral imaging
Hyperspectral imaging is applied in the medical field for automated diagnosis of diseases, especially cancer. Among the various classification...
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IOTD: intelligent offloading of tasks with deadlines in edge-fog-cloud computing environment using hybrid approach
In light of the rapidly growing and advancing Internet of Things (IoT) technology, delay sensitive tasks, deadline aware tasks, and power intensive...
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Enhancing the resilience of error-prone computing environments using a hybrid multi-objective optimization algorithm for edge-centric cloud computing systems
The integration of advanced technologies like cloud and edge computing has facilitated efficient resource coordination, resulting in improved overall...
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Task offloading for vehicular edge computing with edge-cloud cooperation
Vehicular edge computing (VEC) is emerging as a novel computing paradigm to meet low latency demands for computation-intensive vehicular...
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A convolutional neural network based online teaching method using edge-cloud computing platform
Teaching has become a complex essential tool for students’ abilities, due to their different levels of learning and understanding. In the traditional...
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An osmotic approach-based dynamic deadline-aware task offloading in edge–fog–cloud computing environment
Edge–fog–cloud computing system can be divided into edge or IoT layer (tier 1), fog layer (tier 2) and cloud layer (tier 3). The devices at the edge...
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Collaborative Cloud-Edge-End Task Offloading in NOMA-Enabled Mobile Edge Computing Using Deep Learning
Aiming at the problem that it is quite hard to guarantee the real-time requirements of medical users with high efficiency and low latency in the...
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Edge-cloud computing cooperation detection of dust concentration for risk warning research
An edge-cloud computing collaborative dust concentration detection architecture is proposed for real-time operation of intelligent algorithms to...
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A fine-grained task scheduling mechanism for digital economy services based on intelligent edge and cloud computing
Digital economy is regarded countries as an inevitable choice to promote economic growth and provides new opportunities and new paths for the...
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IoV data sharing scheme based on the hybrid architecture of blockchain and cloud-edge computing
Achieving efficient and secure sharing of data in the Internet of Vehicles (IoV) is of great significance for the development of smart...
