260 Result(s)
within
Lu**g Sun
Engineering
Artificial Intelligence
Robotics and Automation
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Article
Open AccessA novel method for measuring center-axis velocity of unmanned aerial vehicles through synthetic motion blur images
Accurate velocity measurement of unmanned aerial vehicles (UAVs) is essential in various applications. Traditional vision-based methods rely heavily on visual features, which are often inadequate in low-light ...
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Intelligent radioactive waste process cloud-based system for nuclear power plant decommissioning
In pursuit of significant economy growth, most of the developed countries often ignore the importance of radioactive waste management, so the vast majority of nuclear power plants are still based on labor mana...
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Feature selection and prediction of small-for-gestational-age infants
The small-for-gestational-age (SGA) condition often causes serious problems. Therefore, identifying the risk factors for SGA is important. Traditional statistical methods such as stepwise logistic regression (...
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Open AccessShapley value: from cooperative game to explainable artificial intelligence
With the tremendous success of machine learning (ML), concerns about their black-box nature have grown. The issue of interpretability affects trust in ML systems and raises ethical concerns such as algorithmic...
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Article
Learning to grade deterioration for ancient murals
Ancient murals recording histories and myths are suffering different types of deteriorations, which makes these valuable cultural heritage unrecoverable. For preventive protection of ancient murals, the resear...
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Article
Hyperspectral classification employing spatial–spectral low rank representation in hidden fields
This paper presents a novel classification method based on spatial–spectral low-rank representation in the hidden field under a Bayesian framework for hyperspectral imagery. The key idea of the method is to si...
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Open AccessRETRACTED ARTICLE: Automatic spraying motion planning of a shotcrete manipulator
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A novel image descriptor based on dot-diffused block truncation coding with bit probability
With the advent of mobile smart devices and ubiquitous network connections, digital images can now be conveniently captured, edited, and shared online worldwide. The ever-increasing number of pictures poses a ...
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Correction to: Total least squares estimation model based on uncertainty theory
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Correction to: Trip purpose inference for tourists by machine learning approaches based on mobile signaling data
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Offloading approach for mobile edge computing based on chaotic quantum particle swarm optimization strategy
With the development of 5 g, computing-intensive and complex applications in smart-city is growing rapidly. Due to the limited resources of mobile terminal devices in smart-city, new applications have higher r...
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Article
Adaptive anti-jamming beamforming based on the preprocessing deep reinforcement learning for downlink navigation communication
Aiming to solve the problems of system sum-rate reduction caused by wavefront distortion, this paper studies an adaptive anti-jamming beamforming through a preprocessing deep reinforcement learning (DRL). This...
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A blockchain-based access control protocol for secure resource sharing with mobile edge-cloud collaboration
The application scenarios of edge-cloud collaboration are very wide. In order to ensure the operational security of resource sharing among intelligent terminals in edge-cloud collaboration scenarios, and preve...
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Article
Fault diagnosis of electrical automatic control system of hydraulic support based on particle swarm optimization algorithm
The hydraulic braking system of the hoist is an extremely important part of the hoist. According to incomplete statistics, its failure rate accounts for more than half of the total number of hoist failures. On...
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Towards accurate prediction of patient length of stay at emergency department: a GAN-driven deep learning framework
Recently, the hospital systems face a high influx of patients generated by several events, such as seasonal flows or health crises related to epidemics (e.g., COVID’19). Despite the extent of the care demands,...
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Induction motor fault detection by a new sliding mode observer based on backstep**
In order to detect the fault of induction motor quickly and accurately, a new fault detection method based on backstep** sliding mode observer is proposed in this paper. The new sliding mode observer has goo...
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Structured products dynamic hedging based on reinforcement learning
In the Black–Scholes model proposed in 1973, an investor can use a continuously rebalanced dynamic strategy to hedge the risk of a certain option, assuming that the underlying asset’s price is subject to geome...
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Article
Total least squares estimation model based on uncertainty theory
Uncertain least squares estimation is one of the important methods to deal with imprecisely observed data, which can solve linear regression equation effectively. However, the least squares estimation does not...
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Article
Common pests classification based on asymmetric convolution enhance depthwise separable neural network
In-field pest identification is an important prerequisite for timely adopting corresponding strategies for pest control. However, traditional manual observation measures or classification models that directly ...
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Article
Energy-delay tradeoff for virtual machine placement in virtualized multi-access edge computing: a two-sided matching approach
By decoupling network functions from the underlying physical machines (PMs) at the edge of the networks, the virtualized multi-access edge computing (MEC) enables deployment of new network services and elastic...
