11,513 Result(s)
within
Conference Paper
Ke** Zhang
Computer Communication Networks
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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 ...
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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...
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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 ...
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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...
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Chapter and Conference Paper
Corpus Construction of Critical Illness Entities and Relationships
Entity and relational corpus construction is a key part of information extraction and knowledge graph construction. Based on the existing norms of medical entity relationship at home and abroad, we established...
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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...
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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...
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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...
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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 ...
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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...
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Chapter and Conference Paper
Research on the Structure of Pediatric Epilepsy Electronic Medical Records Based on Transfer Learning
Medical institutions commonly utilize electronic medical records (EMRs) to document patients’ medical conditions, which contain valuable medical information. However, EMRs often consist of semi-structured or u...
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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...
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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...
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Chapter and Conference Paper
Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem
Flexible job shop scheduling (FJSP) is crucial for automated production, ensuring efficiency and flexibility. In recent years, deep reinforcement learning (DRL) has achieved success in solving sequence decisio...
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Chapter and Conference Paper
CFNet: A Coarse-to-Fine Framework for Coronary Artery Segmentation
Coronary Artery (CA) segmentation has become an important task to facilitate coronary artery disease diagnosis. However, existing methods have not effectively addressed the challenges posed by the thin and com...
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Chapter and Conference Paper
Spoof-Guided Image Decomposition for Face Anti-spoofing
Face spoofing attacks have become an increasingly critical concern when face recognition is widely applied. However, attacking materials have been made visually similar to real human faces, making spoof clues ...
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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...
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Chapter and Conference Paper
A Semantic Genetic Programming Approach to Evolving Heuristics for Multi-objective Dynamic Scheduling
Multi-objective dynamic flexible job shop scheduling (MO-DFJSS) is a challenging problem that requires finding high-quality schedules for jobs in a dynamic and flexible manufacturing environment, considering m...
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Chapter and Conference Paper
Performance Analysis on a Coupled System of Gas Turbine and Air Cycle Driven by the Waste Heat of Flue Gas
In this work, a novel gas-air combined cycle of power generation system is proposed to enhance the generation capability of gas turbines, which uses the Ericsson cycle to transform gas turbine waste energy int...
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Chapter and Conference Paper
Balanced and Explainable Social Media Analysis for Public Health with Large Language Models
As social media becomes increasingly popular, more and more public health activities emerge, which is worth noting for pandemic monitoring and government decision-making. Current techniques for public health a...
