262 Result(s)
within
**yi Yao
Engineering
Artificial Intelligence
Control, Robotics, Mechatronics
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Article
Rb-based: link prediction based on the resource broadcast of nodes for complex networks
During the process of link prediction, traditional resource allocation methods only consider the influence of common neighbor nodes as transmission paths, while ignoring the impact of the effective resource am...
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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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Article
A fine-grained convolutional recurrent model for obstructive sleep apnea detection
Obstructive Sleep Apnea (OSA) is a prevalent sleep-related breathing disorder that leads to various health issues such as hypertension, heart disease, diabetes, and stroke. In order to achieve a convenient, ro...
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Article
A multi-label image classification method combining multi-stage image semantic information and label relevance
Multi-label image classification (MLIC) is a fundamental and highly challenging task in the field of computer vision. Most methods usually only focus on the inter-label association or the way to extract image ...
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Article
Robust graph neural networks with Dirichlet regularization and residual connection
Graph Neural Network (GNN) has attracted considerable research interest in various graph data modeling tasks. Most GNNs require efficient and sufficient label information during training phase. However, in ope...
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Article
A double-layer attentive graph convolution networks based on transfer learning for dynamic graph classification
In practical scenarios, many graphs dynamically evolve over time. The new node classification without labels and historical information is challenging. To address this challenge, we design a double-layer atten...
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Article
Entropy regularized fuzzy nonnegative matrix factorization for data clustering
Clustering high-dimensional data is very challenging due to the curse of dimensionality. To address this problem, low-rank matrix approximations are widely used to identify the underlying low-dimensional struc...
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Chapter and Conference Paper
Real-World Experiments on Acoustic Detection of Small UAVs
This paper presents the real-world experiments on the acoustic detection of small unmanned aerial vehicles (UAVs). To achieve the accurate detection of the small UAVs, a series of data processing steps includi...
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Chapter and Conference Paper
Research on Long-Range Detection and Tracking of Small UAVs Based on AI Algorithms
Optoelectronic equipment is one of the key methods to track UAV, but in some real scenes, optoelectronic detection has a few problems, such as complicated targets detection and unstable tracking. Aiming at the...
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Chapter and Conference Paper
Few-Shot Online Learning for 3D Object Detection in Autonomous Driving
For autonomous driving, the performance of 3D object detection is limited by offline training, and these methods usually lack the adaption ability for long-term autonomy, which leads to significant performance...
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Chapter and Conference Paper
Research and Implementation of Rules Extraction Technology for Digital Twin Objects in Distribution Network Based on Semantic Understanding
The digital twin of electric topology grid refers to the digital twin of topology grid, map** the real world topology grid into a virtual digital space, and then fully reflecting the dynamic changes of entit...
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Chapter and Conference Paper
Planning and Tracking of Dynamic Soaring Using Nonlinear Model Predictive Control
Dynamic soaring is a promising technology that can utilize the wind energy from wind shear layers. In the present study, a planning and tracking framework of dynamic soaring is proposed using nonlinear model p...
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Chapter and Conference Paper
Hierarchical Trajectory Planning for Reconfigurable Multi-USV Platform
This paper presents a hierarchical framework that integrates path planning and trajectory optimization to achieve the reconfiguration of a platform composed of multiple unmanned surface vehicles (USV). Firstly...
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Chapter and Conference Paper
Point Cloud Model Reconstruction of Deformable Linear Objects Based on Center Line Fitting
In various manipulator working scenarios, the perception of deformable linear objects (DLOs) plays a crucial role, which provides prior knowledge for gras** and obstacle avoidance. In this paper, we present ...
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Article
Continuous lattices in formal concept analysis
We introduce the notions of augmented formal contexts and generalized approximable concepts and show that all the generalized approximable concepts of an augmented formal context generates a continuous lattice...
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Chapter and Conference Paper
A Personalized Ramp Merging Decision-Making Method for Autonomous Driving Based on Reverse Reinforcement Learning
In the ramp merging scenario, the merging vehicles need to make decisions during the interaction with high-speed vehicles on the main lane to achieve safe and reliable merging. The advanced driving assistance ...
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Article
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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Article
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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Article
Brain-inspired learning to deeper inductive reasoning for video captioning
Video captioning requires deeply understanding video content, describing the video concisely and accurately in one sentence. Since the video usually contains multiple atomic events, conventional methods using ...
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Article
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...
