705 Result(s)
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Chapter and Conference Paper
An Intelligent Optimization Algorithm Based on Adaptive Change Mechanism
Aiming at the urgent need and existing bottleneck of model parameter optimization in data enrichment in engine design and application, the problem of large dispersion of data enrichment results caused by the u...
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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
Multimodal Emotion Recognition Using Attention-Based Model with Language, Audio, and Video Modalities
Multimodal emotion identification is becoming increasingly important in human–computer interaction due to the amount of emotional information in human communication. Multimodal emotion recognition is the techn...
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Chapter and Conference Paper
Design and Implementation of Distributed Architecture for Test Data Analysis Platform
According to the existing business characteristics of the test data analysis platform, a distributed architecture scheme suitable for aviation, aerospace, shipbuilding and other industries is designed, and a u...
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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
An Optimization System for Intent Recognition Based on an Improved KNN Algorithm with Minimal Feature Set for Powered Knee Prosthesis
In this article, a new optimization system that uses few features to recognize locomotion with high classification accuracy is proposed. The optimization system consists of three parts. First, the features of ...
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Article
Data hiding method for AMBTC compressed images
With the current growth of multimedia applications, a substantial amount of visual data, including images and videos, is transmitted daily, making information forensics and security essential. Thus, protecting...
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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...
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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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Article
Teaching quality evaluation-based differential evolution and its application on synthesis of linear sparse arrays
To enhance the solution quality and accelerate the convergence speed, teaching quality evaluation-based differential evolution algorithm with Levy flight and adaptive parameters is proposed in this paper, whic...
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Article
A finger vein feature extraction network fusing global/local features and its lightweight network
Finger vein recognition technology has been widely used in various identity authentication scenarios due to its convenience, fast recognition speed, and high security. However, there is an inevitable problem t...
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Article
Optimizing traffic efficiency via a reinforcement learning approach based on time allocation
With the increasing scale of urbanization, traffic congestion has caused a severe negative impact on the efficiency of social development. To this end, a series of intelligent traffic light control methods bas...
