11,513 Result(s)
within
Chapter
Conference Paper
**u-**u Zhang
Computer Communication Networks
-
Chapter and Conference Paper
Analysis of the Form and Meaning in Collocation of Chinese “V + Color” Verb-Object Compounds
In modern Chinese, some color compounds appear in the form of “V + color”, but they do not specifically refer to a particular color. They express metaphorical meanings related to that color. Based on data from...
-
Chapter and Conference Paper
Research on the Technology of Laser Derusting and Design of Portable Laser Derusting System
Derusting is a common process for protecting steel products. In daily use, steel products often rust. If the rust is not removed in time, it will bring great losses to the production. Traditional rust removal ...
-
Chapter and Conference Paper
Laser Cleaning Technology of Ultra-thin Deposition Layer on the Surface of Disconnector Moving and Stationary Contacts
The static contacts of disconnectors is to deposit ultra-thin films (about 0.1 μ m) Laser processing technology. It can be applied to rough surfaces such as contacts and connectors, which are not easy to be pr...
-
Chapter and Conference Paper
Finite Element Simulation of Cutting Temperature Distribution in Coated Tools During Turning Processes
The effect of cutting temperature on mechanism of cutting process has been a fundamental issue. Cutting tool temperature has significant influences on wear behavior of cutting tool, surface finish and surface ...
-
Chapter and Conference Paper
Semantic Preferences of Biran and Yiding: A Distinctive Collexeme Analysis of Chinese Near-Synonymous Constructions of “Mod + Verb”
The Chinese modals biran ‘must be, definitely’ and yiding ‘must be, definitely’ can both express the sense of epistemic necessity. “Modal + verb” is a representative construction that expresses modal judgment. Th...
-
Chapter and Conference Paper
Dual-Stream Model with Brain Metrics and Images for MRI-Based Fetal Brain Age Estimation
The disparity between chronological age and estimated brain age from images is a significant indicator of abnormalities in brain development. However, MRI-based brain age estimation still encounters considerab...
-
Chapter and Conference Paper
Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network
Food is closely related to national economy and people’s livelihood. Rice is the largest grain crop in China, it is crucial to predict the loss rate of rice during processing to reduce food waste and ensure fo...
-
Chapter and Conference Paper
Reinforcement Learning-Based Differential Evolution Algorithm with Levy Flight
In this paper, a reinforcement learning-based differential evolution algorithm with levy flight strategy (RLLDE) for solving optimization problems is proposed. It introduces a novel mutation mode considering s...
-
Chapter and Conference Paper
A Classification Denoising Algorithm Based on 3D Point Cloud Curvature
In the process of denoising and smoothing 3D point cloud data, it often faces the problems of poor results required for denoising and difficulty in maintaining the local feature details of the point cloud. The...
-
Chapter and Conference Paper
RBSR: Efficient and Flexible Recurrent Network for Burst Super-Resolution
Burst super-resolution (BurstSR) aims at reconstructing a high-resolution (HR) image from a sequence of low-resolution (LR) and noisy images, which is conducive to enhancing the imaging effects of smartphones ...
-
Chapter and Conference Paper
Learning Hierarchical Representations in Temporal and Frequency Domains for Time Series Forecasting
Long-term time series forecasting is a critical task in many domains, including finance, healthcare, and weather forecasting. While Transformer-based models have made significant progress in time series foreca...
-
Chapter and Conference Paper
Construction of Intelligent Evaluation Model for Electric Power Marketing Inspection Status Based on Cloud Measurement
The reform of electricity market and the acceleration of the construction of smart grid impel electric power enterprises to change the traditional marketing mode, realize the low loss conversion between comple...
-
Chapter and Conference Paper
Comparisonof Chinese College Students’Anxiety During and BeforeCOVID19 Pandemic Based on Clustering Algorithm
The COVID19 pandemic has had acute and long-term effects on college students’ mental health, but there was a lack of research following. This study aims to compared research hot spots of college students’ anxi...
-
Chapter and Conference Paper
Damage Identification Method of Building Structure Based on Computer Vision
Under the influence of load, earthquake, settlement and other factors, the building structure will be damaged to different degrees. If the building structure damage is not found and handled in time, it will le...
-
Chapter and Conference Paper
A CNN-Based Algorithm with an Optimized Attention Mechanism for Sign Language Gesture Recognition
Sign language is the main method for people with hearing impairment to communicate with others and obtain information from the outside world. It is also an important tool to help them integrate into society. C...
-
Chapter and Conference Paper
A Physically Feasible Counter-Attack Method for Remote Sensing Imaging Point Clouds
This research introduces an innovative approach to address the vulnerability of deep learning-based point cloud target recognition systems to adversarial sample attacks. Instead of directly tampering with the ...
-
Chapter and Conference Paper
Hierarchical Competitive Differential Evolution for Global Optimization
Global search is a fundamental task in optimization, aiming to find the optimal solution across the entire search space. To address the challenges in global search, a hierarchical competitive differential evol...
-
Chapter and Conference Paper
Research on Watermark Embedding of Fax Channel Images Based on U-Net Network
This paper introduces a novel watermarking algorithm based on the U-Net Network to manage and trace the source of fax document leaks. The goal is to enable the embedding and extraction of watermark information...
-
Chapter and Conference Paper
MS UX-Net: A Multi-scale Depth-Wise Convolution Network for Medical Image Segmentation
Semantic segmentation of 3D medical images plays an important role in assisting physicians in diagnosing and successively studying the progression of the disease. In recent years, transformer-based models have...
-
Chapter and Conference Paper
QESAR: Query Effective Decision-Based Attack on Skeletal Action Recognition
Generating high-quality adversarial examples in a black-box setting often requires larger query volumes and adds more noticeable perturbations in skeleton action recognition tasks. We propose a query effective...
