Proceedings of the 2025 3rd International Conference on Image, Algorithms, and Artificial Intelligence (ICIAAI 2025)

123 authors
Aoma, Ciermuzhen
Paradigm Migration and Interdisciplinary Convergence Study of Electronic Nose Odor Recognition Algorithms
Cao, Boqian
Application and Analysis of Some Artificial Intelligence Techniques in Medical Imaging Diagnosis
Cao, Suwei
TESLA Stock Prediction Using Machine Learning Models
Chen, Hefan
Leveraging Generative Adversarial Networks for Dynamic UI Icon Generation: Addressing Style Consistency Challenges in Collaborative Design
Chen, Jiyun
Research on Path Planning Based on Braitenberg Robot Vehicles
Chen, Rui
Research on Motion Control Technology of Bionic Quadruped Robot
Chen, Shuaiyu
Study of Different Module Technologies for Autonomous Driving
Chen, Yiguo
Semiconductor Sector ETF Price Directional Prediction Based on Machine Learning Models
Chen, Youran
A Comparative Study of Stock Price Movement Prediction Methods
Chen, Ziye
An In-Depth Exploration of Frontend Technologies in Simple Website Development
Cheng, Hongkun
Path Optimization Technology for Intelligent Warehousing Robots Based on Dijkstra Algorithm
Cui, Jiahui
A Study on the Risk Factors of Lung Cancer Using Machine Learning Methods
Feng, Kai
Machine Learning-Driven Robotic Path Planning: A Synthesis of Classical and Modern Approaches
Feng, Yuan
Research on the Humanization Design of Game NPCs and User Experience Optimization Based on Large Language Models
Feng, Zibo
Research on Multi-Sensor Data Fusion Methods in Autonomous Driving
Fu, Rujing
Al-Driven Detection and Analysis of Mental Disorders: An Integrative Review of Machine Learning and Deep Learning Methodologies
Gao, Bohan
Research for Mental Health Classifier Based on Machine Learning
Gao, Xinyi
Machine Learning based Fault Prediction Method for Mechanical Vibration Signals
Gao, Yicheng
Study for Evaluating the Guiding Significance of Machine Learning-Based Predictions of Stock Price for Short-Term Investing
Gong, Hongyi
Comparative Analysis of Machine Learning Models for House Price Prediction
Guan, Yiming
Muti-Strategy Machine Learning-Driven Muti-Dimensional Dynamic Prediction Model for Stroke Risk
Guo, Bokai
Deep Subspace Clustering Method Based on Federated Learning Framework
Guo, Jiaqi
Regression on Seoul Bike Sharing Demand
He, Bin
AdaConv: Structure-Aware Real-Time Style Transfer Algorithm and Its Rendering Implementation in Unity Engine
He, Lejun
Research on the Classification of Rice Leaf Disease Images Based on Deep Learning
Hou, Lin
Comparative Analysis of Machine Learning Models for Predicting Credit Card Default
Hu, Fengqingyang
Temporal Dynamics of AI Stock Prices: An LSTM Network Analysis
Huang, Rui
Stock Prediction Based on Machine Learning Models
Huang, Zhiyuan
Web Accessibility Design Using Color Psychology for Visual Impairments and Neurodivergent Conditions
Jin, Zhenmei
Cluster-Guided Machine Learning Models for E-Commerce Customer Behavior Prediction
Lai, Cheuk Lam
A Novel Machine Learning-based Ensemble Model for Loan Prediction
Li, Hanzhi
Titanic Survival Prediction Enhanced by Innovative Feature Engineering and Multi-Model Ensemble Optimization
Li, Huanyuan
Research of the Technical Principles, Practical Applications, Challenges and Future Development Trends of Federated Learning
Li, Xianshen
Artistic Thinking in HCI: A Three‑Layer Framework
Li, Xuanyi
Tripartite Coupling of Content, Dissemination, and Cognition: A Collaborative Detection Framework for AI-Generated Fake News in the Era of Generative AI
Li, Yanzhe
Optimizing Deep Learning for Edge Intelligence: Architectures, Methods, and Applications
Li, Yiming
G-FedProx: Multi-Factor Traffic Flow Prediction Model based on Federated Learning
Li, Yumeng
Integrating LSTM and Clustering SVM for Enhanced Stock Price Prediction
Li, Zixiu
Conventional Support Vector Machines vs. Quantum Support Vector Machines in Parkinson’s Comparative studies in the analysis of disease data
Lian, Hui
Research on Paillier Decryption Acceleration and Security Enhancement Based on CRT and Montgomery Algorithm
Lim, Janghyuk
Enhancing Marketing Performance with Hyperconnected Logistics: A Framework for Flexible, Customer-Centric Logistics Provision
Lin, Selena Peitong
Parallel Optimization Strategy for Distributed Machine Learning in Massive Data Processing
Lin, Su
Research on Application of Robot Technology in Building Construction Automation
Liu, Ipshing
Multi-modal Sentiment Analysis: Addressing Modality Loss and Alignment Issues
Liu, Jiang
Comparative Study on the Accuracy and Application of GPS and BDS in Earthquake Monitoring and Major Earthquake Early Warning
Liu, Jingyi
Balancing Security and Responsiveness in Web Authentication: A Bcrypt-Based Java Servlet Implementation with UX Enhancements
Liu, Siyu
Research on Key Technologies in Autonomous Navigation of Robotic Vehicles
Liu, Wenxi
Research on the Path Planning and Scheduling for Automated Guided Vehicle
Liu, Xinyao
Tesla Stock Prediction Based on LSTM and News Sentiment Analysis
Lu, Kaiyuan
A Low-Cost 3D Reconstruction System Based on COLMAP and 3D Gaussian Splatting Rendering
Luo, Jiangyu
Speech Recognition Technology Methods based on Deep Learning
Luo, Mingjie
Design and Implementation of a Sina Blog-Style Web Platform: A Comprehensive Approach to Frontend and Backend Integration
Luo, Ziyue
Hotel Cancellation Rate Prediction: A Machine Learning Based Prediction Model
Ma, Rongfei
German Credit Risk Prediction Using Machine Learning Models
Man, Chenleqian
Path Planning Based on SLAM Technology and Deep Learning
Miao, Yanshuangfei
Research on the Humanization Design of Game NPCs and User Experience Optimization Based on Large Language Models
Mu, Yinxue
Intelligent Optimization Algorithms for Vibration Control of Mechanical Systems
Nie, Ye
Corporate Credit Ratings Forecasting—from Standalone Models to a Heterogeneous Ensemble Model
Ouyang, Wendi
Application of Machine Learning in Dynamic Multi-Factor Stock Selection
Peng, Yi
Using Three Classifications to Optimize the Stock Portfolio Performance with Weighted Scoring Models
Peng, Yihan
Rapid Web Game Development with Minimalist Technology Stack: A Case Study of Pokelike
Peng, Yuyang
Multi-modal Sentiment Analysis: Addressing Modality Loss and Alignment Issues
Qian, Zhengxuan
Research on Stock Price Prediction Based on Random Forest & XGBoost
Qin, Xinyu
Construction and Simulation Study of a Threshold Model for the Diffusion of Agricultural Technology Innovation Based on Cognitive Utility
Qu, Liangzhou
Feature-Enhanced for Price Prediction: Validating Incremental Contributions of Fundamental, Technical, and Macro-Sentiment Composite Volatility Indicators
Rao, Taiguo
Comparative Study on the Accuracy and Application of GPS and BDS in Earthquake Monitoring and Major Earthquake Early Warning
Sheng, Libo
Optimization of Intelligent Control Algorithms in Ship Automatic Berthing Systems
Shenshinov, Yuri
Artificial Intelligence as a Modern Human Resources Management Tool in the Context of Innovation
Shi, Tianran
A Comparative Analysis of Machine Learning Models for Credit Default Prediction of Credit Card Customers of Taiwan Banks
Song, Haojie
Sarcasm Detection in Social Media: Techniques, Models, and Future Directions
Su, Ruilin
Comprehensive Review of Typical Methods of Wireless Sensing
Su, Xin
Construction and Simulation Study of a Threshold Model for the Diffusion of Agricultural Technology Innovation Based on Cognitive Utility
Su, Zhitao
Application of Q-learning in Autonomous Robot Obstacle Avoidance
Sun, Yanan
Peer-Review Statements
Sun, Yimeng
Electrical Impedance Tomography in Medical Imaging: Fundamental Principles, Clinical Applications, and Future Innovation Trajectories
Tao, Dayu
Multi-Agents Reinforcement Learning: Technical Analysis and Optimization
Tian, Bowen
Research on Prediction of Parkinson’s Disease Based on Speech Features
Tong, Xiaoxing
Local SGD and Federated Learning: Challenge, Application And Future
Wan, Wenkai
Application of Artificial Intelligence Technology in Gaming NPC and Existing Problems
Wang, Bingyue
Intelligent Fault Diagnosis for Electric Drive Systems Based on Federated Learning and Edge Computing
Wang, Bole
Research on Autonomous Driving Technology Based on Simultaneous Localization and Mapping
Wang, Hongxiao
Research on Robot Autonomous Navigation Technology based on Q-Learning
Wang, Qiuyu
Enhancing NVIDIA Stock Price Prediction Using Search Engine Trend Data and Long Short-Term Memory Models
Wang, Shenhao
Algorithms for Resolving Heterogeneity in Federated Learning
Wang, Yizheng
Predicting Tesla’s Stock Price with LSTM
Wang, Zi
Stock Change Prediction Based on Artificial Intelligence Algorithm
Wang, Ziheng
An Exploration of Federated Learning: Application Scenarios and Technical Implementations
Wu, Junye
The Latest Research Trends and Application Prospects of Artificial Intelligence Path Planning Technology
Xia, Chenyao
Research on the Application of Large Language Models in Intelligent Tutoring System
Xia, Yijun
Research on the Optimal Prediction Model of Stock Returns of FAANG + M
Xiao, Ting
A Machine Learning Based Study on Amazon Stock Price Prediction
Xu, Haoxuan
Neural Networks for Early Diagnosis of Alzheimer’s Disease Based on Brain Images
Xu, Zhiyuan
Stock Portfolio Optimization: Selection Methods and Redeployment under Different Preferences
Yang, Peixin
Analysis of Distributed Training Systems and Optimization Algorithms
Yang, Shuwen
Employee Attribution Prediction Based on Machine Learning
Yang, Tianwei
A Multidimensional Analysis and Research on Breakthrough Optimization of Mainstream AIGC Generation Models
Yang, Yuxin
Privacy-Preserving Multi-Camera Vehicle Detection for Smart Cities Using Federated YOLOv5s with UA-DETRAC
Yang, Zelun
Research on the Application of AI Generative Models in Games
Yang, Zixuan
Research on Text Summarization Applications Based on Deep Learning
Yao, Chenye
Stock Trend Prediction with tuned Machine Learning Models