712 Result(s)
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Open AccessCOECG-resnet-GWO-SVM: an optimized COVID-19 electrocardiography classification model based on resnet50, grey wolf optimization and support vector machine
Coronavirus disease 2019 (COVID-19) has swiftly spread throughout the globe, causing widespread infection in various countries and regions, and was declared a pandemic by World Health Organization (WHO) in 202...
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Open AccessSmart carbon monitoring platform under IoT-Cloud architecture for small cities in B5G
With the rapid development of the Internet of Things (IoT) in the 5G age, the construction of smart cities around the world consequents on the exploration of carbon reduction path based on IoT technology is an...
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Open AccessKey points trajectory and multi-level depth distinction based refinement for video mirror and glass segmentation
Mirror and glass are ubiquitous materials in the 3D indoor living environment. However, the existing vision system always tends to neglect or misdiagnose them since they always perform the special visual featu...
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Open AccessMultiple time servers timed-release encryption based on Shamir secret sharing for EHR cloud system
Electronic health record (EHR) cloud system, as a primary tool driving the informatization of medical data, have positively impacted both doctors and patients by providing accurate and complete patient informa...
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Open AccessFrom data to insights: the application and challenges of knowledge graphs in intelligent audit
In recent years, knowledge graph technology has been widely applied in various fields such as intelligent auditing, urban transportation planning, legal research, and financial analysis. In traditional auditin...
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Open AccessMTG_CD: Multi-scale learnable transformation graph for fault classification and diagnosis in microservices
The rapid advancement of microservice architecture in the cloud has led to the necessity of effectively detecting, classifying, and diagnosing run failures in microservice applications. Due to the high dynamic...
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Open AccessA encoder-decoder deblurring network combined with high-frequency a priori
Convolutional neural network based methods have been proposed to address blind deblurring. Aiming at the difficulty of reconstructing high-frequency features of images with existing network models, this paper ...
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Open AccessServiceNet: resource-efficient architecture for topology discovery in large-scale multi-tenant clouds
Modern computing infrastructures are evolving due to virtualisation, especially with the advent of 5G and future technologies. While this transition offers numerous benefits, it also presents challenges. Conse...
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Open AccessAnalysis and prediction of virtual machine boot time on virtualized computing environments
Starting a virtual machine (VM) is a common operation in cloud computing platforms. In order to achieve better management of resource provisioning, a cloud platform needs to accurately estimate the VM boot tim...
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Open AccessAccurate and fast congestion feedback in MEC-enabled RDMA datacenters
Mobile edge computing (MEC) is a novel computing paradigm that pushes computation and storage resources to the edge of the network. The interconnection of edge servers forms small-scale data centers, enabling ...
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Open AccessEdge computing-oriented smart agricultural supply chain mechanism with auction and fuzzy neural networks
Powered by data-driven technologies, precision agriculture offers immense productivity and sustainability benefits. However, fragmentation across farmlands necessitates distributed transparent automation. We d...
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Open AccessRNA-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 critical aspect in understanding RNA functionality modulation a...
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Open AccessTarget 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 this paper. A moving target tracking system is proposed to ...
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Open AccessA 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 (EMR) data is widely recognized as a crucial method for enh...
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Open AccessHarmfulness metrics in digital twins of social network rumors detection in cloud computing environment
Social network rumor harm metric is a task to score the harm caused by a rumor by analyzing the spreading range of the rumor, the users affected, the repercussions caused, etc., and then the harm caused by the...
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Open AccessMVIndEmo: a dataset for micro video public-induced emotion prediction on social media
Distinct from the realm of perceived emotion research, induced emotion pertains to the emotional responses engendered within content consumers. This facet has garnered considerable attention and finds extensiv...
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Open AccessA large-scale television advertising dataset for detailed impression analysis
Creating impressive video content such as movies and advertisements is a very important yet challenging task in business that requires both a sense of creativity and a lot of experience. Even professionals can...
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Open AccessMSFANet: multi-scale fusion attention network for mangrove remote sensing lmage segmentation using pattern recognition
Mangroves are ecosystems that grow in the intertidal areas of coastal zones, playing crucial ecological roles and possessing unique economic and social values. They have garnered significant attention and rese...
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Open AccessKernelFlexSR: a self-adaptive super-resolution algorithm with multi-path convolution and residual network for dynamic kernel enhancement
Machine learning-based image super-resolution (SR) has garnered increasing research interest in recent years. However, there are two issues that have not been adequately addressed. The first issue is that exis...
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Open AccessITrans: generative image inpainting with transformers
Despite significant improvements, convolutional neural network (CNN) based methods are struggling with handling long-range global image dependencies due to their limited receptive fields, leading to an unsatis...
