2,631 Result(s)
within
**li Meng
Artificial Intelligence
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Article
LGAT: a light graph attention network focusing on message passing for semi-supervised node classification
Deep learning has shown superior performance in various applications. The emergence of graph convolution neural networks (GCNs) enables deep learning to learn the latent representation from graph-structured da...
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BCT-OFD: bridging CNN and transformer via online feature distillation for COVID-19 image recognition
Computer-aided systems can assist radiologists in improving the efficiency of COVID-19 diagnosis. Current work adopts complex structures and the correlations between convolutional neural network (CNN) and Tran...
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A path planning method based on deep reinforcement learning for crowd evacuation
Deep reinforcement learning (DRL) is suitable for solving complex path-planning problems due to its excellent ability to make continuous decisions in a complex environment. However, the increase in the populat...
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A non-uniform low-light image enhancement method with multi-scale attention transformer and luminance consistency loss
Low-light image enhancement aims to improve the perception of images collected in dim environments and provide high-quality data support for image recognition tasks. When dealing with photographs captured unde...
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Article
Perception-Driven Learning of High-Dynamic Jum** Motions for Single-Legged Robots
Legged robots show great potential for high-dynamic motions in continuous interaction with the physical environment, yet achieving animal-like agility remains significant challenges. Legged animals usually pre...
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Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and Recognition
Modern deep neural networks are prone to learn domain-dependent shortcuts and thus usually suffer from severe performance degradation when tested in unseen target domains due to their poor ability of out-of-di...
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Article
Aerodynamic Performance of Three Flap** Wings with Unequal Spacing in Tandem Formation
To better understand the aerodynamic reasons for highly organized movements of flying organisms, the three-flap** wing system in tandem formation was studied numerically in this paper. Different from previou...
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Quasi-projective Synchronization Control of Delayed Stochastic Quaternion-Valued Fuzzy Cellular Neural Networks with Mismatched Parameters
This paper deals with the quasi-projective synchronization problem of delayed stochastic quaternion fuzzy cellular neural networks with mismatch parameters. Although the parameter mismatch of the drive-respons...
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Gas concentration prediction based on ED-SLSTM model under the framework of Trend Prediction-Time Point Prediction
In order to solve the problems of low prediction accuracy and inability to achieve long-term prediction in traditional coal mine gas concentration prediction, this paper proposes a new gas concentration predic...
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Article
Open AccessTemporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning
Temporal inconsistency is the annoying artifact that has been commonly introduced in low-light video enhancement, but current methods tend to overlook the significance of utilizing both data-centric clues and ...
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Article
The Allocations for Dual Fuzzy Cooperative Games
In our daily life, players may reduce their cooperation levels for various reasons. This paper studies how to evaluate and allocate the cooperation payoff when the players cooperate partially. Different from p...
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Development of a humanoid robot control system based on AR-BCI and SLAM navigation
Brain-computer interface (BCI)-based robot combines BCI and robotics technology to realize the brain’s intention to control the robot, which not only opens up a new way for the daily care of the disabled indiv...
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Article
Design and Experimental Verification of a Roll Control Strategy for Large Wingspan Flap**-Wing Aerial Vehicle
Most flap**-wing aircraft wings use a single degree of freedom to generate lift and thrust by flap** up and down, while relying on the tail control surfaces to manage attitude. However, these aircraft have...
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Article
Concept drift detection methods based on different weighting strategies
The distribution of data often evolves over time, necessitating classifiers to adjust in order to maintain optimal classification accuracy. This phenomenon, termed “concept drift”, poses a significant challeng...
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Article
Open AccessMCAD: Multi-classification anomaly detection with relational knowledge distillation
With the wide application of deep learning in anomaly detection (AD), industrial vision AD has achieved remarkable success. However, current AD usually focuses on anomaly localization and rarely investigates a...
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Visualization of the occurrence and spread of wildfires in three-dimensional natural scenes
There are generally two ways to ignite wildfires, including natural fire sources represented by lightning strikes and artificial fire sources generated by human production and daily use, both of which have reg...
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Article
Open AccessReinforcement learning tutor better supported lower performers in a math task
Resource limitations make it challenging to provide all students with one of the most effective educational interventions: personalized instruction. Reinforcement learning could be a pivotal tool to decrease t...
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Learning Robust Locomotion for Bipedal Robot via Embedded Mechanics Properties
Reinforcement learning (RL) provides much potential for locomotion of legged robot. Due to the gap between simulation and the real world, achieving sim-to-real for legged robots is challenging. However, the su...
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Article
The fusion feature wavelet pyramid based on FCIS and GLCM for texture classification
Local binary pattern (LBP) is an effective texture feature extraction algorithm, but sensitive to noise. This paper proposes an improved LBP algorithm named fusion center interval strategy (FCIS) for this prob...
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Open AccessEfficient image restoration with style-guided context cluster and interaction
Recently, convolutional neural networks (CNNs) and vision transformers (ViTs) have emerged as powerful tools for image restoration (IR). Nonetheless, they encountered some limitations due to their characterist...
