38 Result(s)
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Article
Open AccessIntelligent Conceptual Design of Railway Bridge Based on Graph Neural Networks
In the conceptual design stage of railway bridge, the beam type of the bridge at the main control point must be modified repeatedly to satisfy varying requirements. Thus, the demand for design efficiency is hi...
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Open AccessAPT Attack Detection Based on Graph Convolutional Neural Networks
Advanced persistent threat (APT) attacks are malicious and targeted forms of cyberattacks that pose significant challenges to the information security of governments and enterprises. Traditional detection meth...
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Open AccessSemantic Segmentation of High-Resolution Remote Sensing Images with Improved U-Net Based on Transfer Learning
Semantic segmentation of high-resolution remote sensing images has emerged as one of the foci of research in the remote sensing field, which can accurately identify objects on the ground and determine their lo...
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Open AccessLocating the propagation source in complex networks with observers-based similarity measures and direction-induced search
Locating the propagation source is one of the most important strategies to control the harmful diffusion process on complex networks. Most existing methods only consider the infection time information of the o...
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Article
Epistemic neural network based evaluation of online teaching status during epidemic period
During the epidemic, online teaching became the mainstream. Online teaching evaluation aims to systematically test teachers' teaching process according to certain teaching objectives and standards, and evaluat...
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Open AccessMulti-temporal Sequential Recommendation Model Based on the Fused Learning Preferences
Since sequential recommendation can effectively capture the user’s dynamic interaction pattern according to the user’s historical interaction, it plays one of the important roles in the field of recommendation...
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Open AccessTraffic Forecasting of Back Servers Based on ARIMA-LSTM-CF Hybrid Model
Accurate server traffic prediction can help enterprises formulate network resource allocation strategies in advance and reduce the probability of network congestion. Traditional prediction models ignore the un...
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Open AccessAvailability and Reliability of Service Function Chain: A Quantitative Evaluation View
Service function chain (SFC) based on network function virtualization (NFV) technology can handle network traffic flexibly and efficiently. The virtual network function (VNF), as the core function unit of SFC,...
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Retraction Note: IoT complex communication architecture for smart cities based on soft computing models
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Open AccessResearch on the Recognition Method of the Axle End Mark of a Train Wheelset Based on Machine Vision
Whether the wheelset of a high-speed train has defects such as cracks is very important to the safety of high-speed trains. Hence, the wheelset must be regularly inspected for flaws. For flaw detection of a wh...
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Open AccessCorrection to: Visual Servoing of Unknown Objects for Family Service Robots
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RETRACTED ARTICLE: Application of NLP-based respiratory audio recognition framework in physical health exercise intervention
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Open AccessMore Detailed Disturbance Measurement and Active Disturbance Rejection Altitude Control for a Flap** Wing Robot Under Internal and External Disturbances
With the goal of designing a biologically inspired robot that can hold a stable hover under internal and external disturbances. We designed a tailless Flap**-wing Micro Aerial Vehicle (FMAV) with onboard 3D ...
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Article
Open AccessAnalysis and Prediction of Gestational Diabetes Mellitus by the Ensemble Learning Method
Gestational diabetes mellitus (GDM) is the most common disease in pregnancy and can cause a series of maternal and infant complications. A new study shows that GDM affects one in six deliveries. Identifying an...
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Open AccessA Computational Intelligence Hybrid Algorithm Based on Population Evolutionary and Neural Network Learning for the Crude Oil Spot Price Prediction
This research attempts to reinforce the cultivating expression of radial basis function neural network (RBFnet) through computational intelligence (CI) and swarm intelligence (SI) learning methods. Consequentl...
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Open AccessAn Optimized Neural Network Prediction Model for Reservoir Porosity Based on Improved Shuffled Frog Lea** Algorithm
Efficient and accurate porosity prediction is essential for the fine description of reservoirs, for which an optimized BP neural network (BPNN) prediction model is proposed. Aiming at the problem that the BPNN...
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Open AccessAn Influence Network-Based Consensus Model for Large-Scale Group Decision Making with Linguistic Information
The vast majority of the existing social network-based group decision-making models require extra information such as trust/distrust, influence and so on. However, in practical decision-making process, it is d...
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Open AccessVisual Servoing of Unknown Objects for Family Service Robots
Aiming at satisfying the increasing demand of family service robots for housework, this paper proposes a robot visual servoing scheme based on the randomized trees to complete the visual servoing task of unkno...
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Open AccessUAV low-altitude obstacle detection based on the fusion of LiDAR and camera
In this paper, aiming at the flying scene of the small unmanned aerial vehicle (UAV) in the low-altitude suburban environment, we choose the sensor configuration scheme of LiDAR and visible light camera, and d...
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Open AccessAerial Locating Method Design for Civil Aviation RFI: UAV Monitoring Platform and Ground Terminal System
A key open question in the aerial locating method is ensure that parameters that identify the location of the radio frequency interference (RFI) are monitored, and to make sure that the locating algorithm is u...
