812 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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DTS: dynamic training slimming with feature sparsity for efficient convolutional neural network
Deep convolutional neural networks have achieved remarkable progress on computer vision tasks over last years. In this paper, we proposed a dynamic training slimming with feature sparsity based on structured p...
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A channel-gained single-model network with variable rate for multispectral image compression in UAV air-to-ground remote sensing
Unmanned aerial vehicle (UAV) air-to-ground remote sensing technology, has the advantages of long flight duration, real-time image transmission, wide applicability, low cost, and so on. To better preserve the ...
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Multi-task recommendation based on dynamic knowledge graph
Introducing knowledge graphs into recommender systems effectively solves sparsity and cold start problems. However, existing KG recommendation methods such as MKR mostly rely on static knowledge graphs, ignori...
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RCFS: rate and cost fair CPU scheduling strategy in edge nodes
With the rapid advancement of 5G mobile networks and Internet of Things technology, an increasing number of data-intensive applications are generating massive amounts of information, such as face recognition, ...
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Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers
Artificial intelligence technology is widely used in the field of wireless sensor networks (WSN). Due to its inexplicability, the interference factors in the process of WSN object localization cannot be effect...
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Test-takers’ adaptability to computerized language testing in China: taking Test for English Majors as an example
As information and communication technologies develop in China, language tests are shifting from conventional paper-and-pencil testing to computerized testing. The aim of this study is to investigate Chinese t...
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Dexterity analysis of a continuum robot with closed-solutions for head and neck oncology
Head and neck surgeries require skilled surgeons to avoid facial nerves and blood vessels. Using straight surgical instruments to create a deep and sealed operating environment is difficult. Continuum robots a...
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DM-YOLOX aerial object detection method with intensive attention mechanism
In aerial image detection, difficulties in feature extraction and low detection accuracy arise due to background interference, occlusion, and the presence of multiple small objects. This paper proposes a DM-YO...
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CANet: cross attention network for food image segmentation
Food image segmentation which aims to distinguish various ingredients is crucial for food safety, as estimating calories and other nutrients is important for human health and sustainable development. However, ...
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A New Method for Network Coverage Optimization and its Application on Fire Monitoring
Fire monitoring is an important task. We can better monitor the fires by enhancing the coverage rate of the fire wireless sensor networks. However, the maximization of the network coverage to achieve the best ...
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Intelligent patrol inspection of low code enabled electric power communication equipment based on digital transformation
In order to meet the needs of digital development of power system and ensure the safety of power communication equipment, an intelligent patrol inspection method for power communication equipment with low code...
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3D reconstruction method based on N-step phase unwrap**
Reducing the number of images in fringe projection profilometry has emerged as a significant research focus. Traditional temporal phase unwrap** algorithms typically require an additional set of coding fring...
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An improved indicator-based two-archive algorithm for many-objective optimization problems
The large number of objectives in many-objective optimization problems (MaOPs) has posed significant challenges to the performance of multi-objective evolutionary algorithms (MOEAs) in terms of convergence and...
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CLDE-Net: crowd localization and density estimation based on CNN and transformer network
Given a crowd image, there are two ways for human to approximate the counting number: exactly locating head points in each local region or directly estimating the total number of person based on the whole imag...
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Comprehensive Relation Modelling for Image Paragraph Generation
Image paragraph generation aims to generate a long description composed of multiple sentences, which is different from traditional image captioning containing only one sentence. Most of previous methods are de...
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PPNet : pooling position attention network for semantic segmentation
Semantic segmentation with attention module has made great progress in many computer vision tasks. However, attention modules ignore some boundary information. To explore a more comprehensive map of context fe...
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Open AccessImproved Lightweight Head Detection Based on GhostNet-SSD
This abstract proposes an algorithm for human head detection in elevator cabins that addresses the challenges of improving detection accuracy, reducing detection speed, and decreasing the number of parameters....
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Group-to-group recommendation with neural graph matching
Nowadays, with the development of recommender systems, an emerging recommendation scenario called group-to-group recommendation has played a vital role in information acquisition for users. The new recommendat...
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A histogram equalization model for color image contrast enhancement
The main aim of this paper is to develop a histogram equalization algorithm for color image contrast enhancement. Our idea is to propose a variational approach containing an energy functional to determine loca...