362 Result(s)
within
Conference Paper
**yi Yao
Engineering
Artificial Intelligence
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Chapter and Conference Paper
Generation Method of Dynamic Alarm Baseline for Cloud Server Based on XGBoost and Tolerability
In order to solve the problem that massive server alarm management of cloud data centers in electric power enterprises cannot adapt to the personalized operation of cloud business and lean equipment management...
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Chapter and Conference Paper
An Intrusion Detection System Using the XGBoost Algorithm for SDVN
Vehicular ad hoc networks (VANETs) rely on Software-Defined Networking (SDN) to enable continuous exchange of information and messages about vehicle and road conditions. This facilitates convenience for users ...
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Chapter and Conference Paper
Harvest Palm Tree Based on Detection Through 2D LiDAR Sensor Using Power Equation
The palm oil industry in Malaysia is encountering challenges that need innovative and technology-driven solutions. This study focuses on palm tree detection where 2D LiDAR sensors are utilized to collect data ...
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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
Covid-19 Detection Based on Chest X-ray Images Using Attention Mechanism Modules and Weight Uncertainty in Bayesian Neural Networks
The novel of Coronavirus (Covid-19) has effective in worldwide year by year, which led to a serious problem for affected lungs with different sequelae from patient. The techniques in Vision has a higher perfor...
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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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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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Chapter and Conference Paper
Vision-Based Design of Autonomous Docking Capture Control System for Towed UAV
The autonomous capture and docking control of swarm UAVs mainly uses critical technologies such as high-precision positioning and cooperative target docking to capture small fixed-wing UAVs by large transport ...
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Chapter and Conference Paper
Learning a Detail-Oriented Transformer for Image Denoising
CNN-based methods have achieved significant success in image denoising with powerful and generous local priors. However, these methods are not good at exploring non-local self-similarity which is also an effec...
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Chapter and Conference Paper
Dynamic Pricing for Mobile Charging Service Considering Electric Vehicles Spatiotemporal Distribution
As mobile charging service has the advantages of flexible charging and simple operation, it is selected by more and more users of electric vehicles. However, due to the differences in road network density and ...
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Chapter and Conference Paper
Detection of VOCs in E. Coli Based on Gas Chromatography-Mass Spectrometry
Escherichia coli (E. coli) is a common bacteria that belongs to the family Enterobacteriaceae, which is a ubiquitous microorganism in the environment and human intestinal trac. E. coli is one of the common foodbo...
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Chapter and Conference Paper
Research Status and Development Trend of Unmanned Ship Fault Prediction and Health Management Technology
In this paper, the unmanned ship is taken as the research object. Firstly, the development trend and application status of fault prediction and health management technology for complex systems are introduced, ...
