3,128 Result(s)
within
English
Computational Intelligence
Qi**g Yu
Conference Paper
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Chapter and Conference Paper
Research Progress of Sports Injury Prediction Model Based on Machine Learning
This systematic review aims to analyze sports injury prediction models based on machine learning technology in order to provide references for the development of sports injury prediction models. The study empl...
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Chapter and Conference Paper
Implementation of a Classification System of Calcaneal Fracture with Deep Learning Techniques
Calcaneus fracture is the most common fracture in all types of Tarsal fracture. Early and accurate diagnosis is essential for prompt treatment. This research aims to develop a deep learning system that can det...
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Chapter and Conference Paper
Exploration of Building a Lean Energy Service System Based on Digital Economy
With the rapid development of the digital economy, improving energy utilization efficiency and building a sustainable lean energy service system are crucial for achieving dual economic and environmental benefi...
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Chapter and Conference Paper
The Swarm Bacterial Algorithm Based on New Attractive Operators and Patterns of Agent Behavior
The work is devoted to solving the scientific problem of decision support in intelligent optimization and design systems. The increased complexity of the tasks solved within the framework of the designated sci...
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Chapter and Conference Paper
An Anti-disturbance Target Detection and Tracking Algorithm in Unstructured Environment
In order to solve the problem of target loss in target detection and tracking in the case of sharp turns or sudden changes in vehicle posture in unstructured environments, this paper proposes an anti-disturban...
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Chapter and Conference Paper
A Virtual Force-Based Strategy for Multi-robot Target Search
In this paper, the mission of deploying a specific number of robotic agents autonomously is focused, where it aims to fast travel close to target landmarks to satisfy the demand in some emergency scenarios. A ...
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Chapter and Conference Paper
Enabling Safety Guarantees of Urban Rail Transit: A New Digital Twin Framework for Data-Model Driven Track Condition Diagnosis
Urban rail transit has become a significant part of transportation. With the growth of its service period, various defects have begun to appear in the track, which threatens the safety of the vehicle operation...
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Chapter and Conference Paper
Multi-path Transmission Strategy for Deterministic Networks
With the rapid growth of internet traffic, network congestion becomes more and more severe, which causes massive packets loss. The reliability and delay of data transmission needs to be guaranteed in real-time...
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Chapter and Conference Paper
A Study on the Application of Cloud-Based Database Construction in Language Subject
Database is a warehouse that organizes, stores and manages data according to data structure, which was created more than sixty years ago. The Chinese curriculum is instrumental and humanistic, and its essence ...
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Chapter and Conference Paper
A Music Therapy Model Based on Consortium Blockchain Platform with Evidence and Tracking Efficacy of Hypertension Treatment
This study innovatively designs a music therapy music selection recommendation system based on Case-based Spiral Diagnosis Reasoning with Consortium Blockchain Knowledge Base (CBSDR-CBKB) model. The purpose of...
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Chapter and Conference Paper
Short Text Classification of Invoices Based on BERT-TextCNN
Traditional invoice text classification methods are labor-intensive and inefficient. In order to effectively identify the types of invoices, a Chinese text classification model based on deep learning BERT-Text...
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Chapter and Conference Paper
Deep Learning Evolution: Using Genetic Algorithm to Modify Training Datasets
The work addresses the problem of integration of deep learning and genetic algorithms (GA). An approach is developed where the GA directly modifies the training datasets rather than adjusting the parameters of...
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Chapter and Conference Paper
Influence Analysis of the Metro Nstray Current on AC Power Grid Based on Surface Potential Gradient
The metro stray current can change the surface potential distribution, which will affect the grounding equipment of the power grid. In order to analyze the interference range and influence degree of metro stra...
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Chapter and Conference Paper
Q-Learning Based Multi-objective Optimization Routing Strategy in UAVs Deterministic Network
In disaster areas, Flying Ad-Hoc Network (FANET) is a critical method for emergency communication. However, the limited payload capacity of Unmanned Aerial Vehicle (UAV) leads to communication link interruptio...
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Chapter and Conference Paper
Electrostatic Distribution and Discharge Characteristics of Aircraft Under Simulated Jet-Induced Electrification Effect
The combustion of the aircraft turbojet engine generates the separation of electrons and positive ions in the plasma, which causes the jet-induced electrification effect. The electrification effect makes the a...
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Chapter and Conference Paper
Critical Technologies for UAV Swarm Collaborative Mission Planning
This paper delves into the pivotal technologies of cooperative mission planning of Unmanned Aerial Vehicle (UAV) swarms, encompassing collaborative control technology, task allocation and path planning technol...
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Chapter and Conference Paper
A PFCP Protocol Fuzz Testing Framework Integrating Data Mutation Strategies and State Transition Algorithms
Various standardization organizations have formulated security mechanism designs in the field of 5G security. However, there is a lack of security analysis and testing. This article provides an in-depth analys...
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Chapter and Conference Paper
Intelligent Information Transmission Model with Distributed Task Queue Functionality Based on the MQTT Transmission Protocol
This study examines an intelligent information transmission model that utilizes the MQTT protocol. The primary scenario entails uploading data from MQTT subscription services to a MongoDB database on the backe...
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Chapter and Conference Paper
Application and Modeling of LLM in Quantitative Trading Using Deep Learning Strategies
After more than 100 years of development, with the breakthrough of computer technology, deep learning and big data industry, the quantitative trading market has gradually matured, and more and more investors h...
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Chapter and Conference Paper
Research and Implementation of Building a Digital Twin Model for Electric Grid Based on Deep Learning
In the production of the power industry, digital twin technology is mainly used for the dispatch and distribution of electricity. Through real-time monitoring and analysis of key indicators in the dispatch cen...
