Vol. 19 No. 2 (2026)

7th International Conference on Computer Science and Intelligent Communication (CSIC 2025)

Published: 29-01-2026

Articles

  • Control schemes in soft hand rehabilitation exoskeleton

    Minshuo Chu, Jitong Tang, Lianyong Zhao
    1-9
    DOI: https://doi.org/10.54097/rxzw8d28

  • Using Machine Learning Algorithms to Predict Parkinson's Disease : A Comparative Analysis Based on Logistic Regression, Random Forest and XGBoost

    Jinqiu Zhang
    10-18
    DOI: https://doi.org/10.54097/ggc4dg65

  • Balancing Exploration and Exploitation: Insights from ETC, UCB, and Thompson Sampling

    Xinyu Cao
    19-22
    DOI: https://doi.org/10.54097/dknft795

  • From Text Analysis to Metrics: AI Approaches to ESG Assessment

    Qianxing Chen
    23-28
    DOI: https://doi.org/10.54097/wr1teh04

  • Progress and Prospects of Human-Computer Interaction Technology Based on VR Mirror Therapy in Upper Limb Motor Function Rehabilitation of Stroke Patients

    Sirui Chen, Jiale Wang, Ziyi Zhou
    29-35
    DOI: https://doi.org/10.54097/2m3e7367

  • Research on Speech Intonation Recognition Technology Based on Deep Learning in Human-Computer Interaction

    Jiajun Ge, Beize Lin, Jiaqi Zhang
    36-40
    DOI: https://doi.org/10.54097/wmfh7e61

  • Task Initiation Support for Adults with ADHD: A Wearable and UI-Based Assistive Prototype

    Jiayang Xu
    41-46
    DOI: https://doi.org/10.54097/x8dgmd62

  • The Development of Emotional Interaction for Depressive Patients Based on Human-Computer Interaction Technology

    Gaocheng Zhang
    47-51
    DOI: https://doi.org/10.54097/03cr8b77

  • A Study on Strategies for Improving the Emotions of Depression Patients Based on Human-Computer Interaction Intervention Processes

    Jinghan Su
    52-56
    DOI: https://doi.org/10.54097/xtkz2m18

  • Predicting House Prices with Machine Learning: A Comparative Study of Linear, Lasso, and Ridge Regression

    Hanrun Hu
    57-61
    DOI: https://doi.org/10.54097/qywqx033

  • Application of Probabilistic Sampling Algorithm in COVID-19 Medical Resources Allocation

    Yue He
    62-66
    DOI: https://doi.org/10.54097/rvsjpf10

  • A Summative Analysis of Deep Neural Networks in Traffic Flow Prediction

    Xiao Hu
    67-72
    DOI: https://doi.org/10.54097/3r8cd610

  • Stock Returns Prediction with Moving Averages: Insights from VF Corporation Data

    Zhexin Zhang
    73-77
    DOI: https://doi.org/10.54097/x11az659

  • Predict Players Engagement Level using KNN Method

    Junyi Pan
    78-83
    DOI: https://doi.org/10.54097/e7dscf70

  • Machine Learning for House Price Prediction

    Zixian Ning
    84-88
    DOI: https://doi.org/10.54097/jnq11521

  • Various Machine Learning Models for Classifying Trash Email

    Baiyue PETER Zhao
    89-93
    DOI: https://doi.org/10.54097/527fre59

  • Design and Verification of a Genre-Based Movie Recommendation System Using Movie Attributes and Random Forest

    Haoyan Cao
    94-98
    DOI: https://doi.org/10.54097/ckc06k37

  • Automated Bug Detection in Modern Gaming Ecosystems

    Xuanhao Hong
    99-105
    DOI: https://doi.org/10.54097/6gavmk49

  • The Effectiveness of Active Rear Spoilers in the Modern Automobile Industry

    Jiacheng Gu
    106-113
    DOI: https://doi.org/10.54097/ampsfd16

  • Data-Driven Prediction of Game Frame Rates Using Linear Regression and Random Forest Models

    Yubo Wang
    114-118
    DOI: https://doi.org/10.54097/6y40xe88

  • Comparison and Analysis of Boston Housing Price Predictions Using Different Machine Learning Methods

    Ruishan Liu
    119-125
    DOI: https://doi.org/10.54097/k82s4204

  • Theoretical Framework and Empirical Analysis of Stock Price and Trend Prediction Using LSTM Models

    Xiaoyu Yang
    126-135
    DOI: https://doi.org/10.54097/b71tn654

  • Depression Detection Based on Multi-source Information Fusion

    Weifeng Yuan
    136-143
    DOI: https://doi.org/10.54097/ermprr31

  • Text Sentiment Analysis for Movie Theme Forecasting Based on Natural Language Processing

    Xuhui Song
    144-150
    DOI: https://doi.org/10.54097/2w33re40

  • A Comparative Analysis of Cumulative Regret Based on Multi-Armed Bandit Algorithms

    Muqing Xue
    151-157
    DOI: https://doi.org/10.54097/schj0v87

  • A Survey of Multi-Armed Bandit Algorithms: From Theoretical Foundations to Modern Applications

    Chaobo Zhang
    158-164
    DOI: https://doi.org/10.54097/qtvt0603

  • Multi-Armed Bandits: Algorithms, Applications, and Future Directions

    Yurong Zheng
    165-168
    DOI: https://doi.org/10.54097/hcgmkt71

  • Attention Mechanism in Multimodal Emotion Recognition From 2020 to 2025: Technological Evolution, Challenges, and Future Prospects

    Libin Han, Yu Huang, Chaoqian Liang, Chao Sheng
    169-176
    DOI: https://doi.org/10.54097/tgf6bd67

  • LMCM: Large Pre-trained Model Driven Multimodal Emotion Recognition via Cross-Modal Attention

    Yidong Gao
    177-186
    DOI: https://doi.org/10.54097/tzf73f09

  • A Method for Classifying Ancient Poetry Emotions Based on Pre-trained Models and Attention Mechanisms

    Guanyu Liu
    187-195
    DOI: https://doi.org/10.54097/e7qw7v83

  • Cross-Lingual Transfer Learning: Applications in Low-Resource Languages

    Junfu Zhu
    196-201
    DOI: https://doi.org/10.54097/5wgzb327

  • Multimodal Medicine in Glaucoma, Diabetic Retinopathy, and Age-related Macular Degeneration: Application and Prospect

    Siyue Sun
    202-207
    DOI: https://doi.org/10.54097/sbbwx308

  • The Application of Natural Language Processing Technology in Legal Aid and Judicial Practice

    Yexuan Yang
    208-213
    DOI: https://doi.org/10.54097/xvsq2r56

  • The Application of Natural Language Processing in the Detection and Intervention of Mental Health Fields

    Yijun Zhuang
    214-218
    DOI: https://doi.org/10.54097/tjkzn320

  • Comparative Learning Method for Drug Target Interaction Prediction Based on Heterogeneous Network

    Qizhao Li
    219-224
    DOI: https://doi.org/10.54097/529xas83

  • The Impact of Generative AI on the Career Path Choices of Undergraduate Students

    Yiting Shen
    225-230
    DOI: https://doi.org/10.54097/v7bwpm34

  • A Comprehensive Investigation on Graph Neural Networks: Models, Applications, and Future Challenges

    Xinyang Chen
    231-236
    DOI: https://doi.org/10.54097/mqt28f71

  • Challenges and Breakthroughs of LLMs in Detecting False Information on Social Media: From DELL to Human-Machine Collaboration

    Yonghua Hong, Weiting Wang
    237-242
    DOI: https://doi.org/10.54097/qzn9b238

  • Large Language Models for Misinformation Detection and Intervention in Media Networks

    Hongyu Cao, Ziqin Wei
    243-247
    DOI: https://doi.org/10.54097/1m57nb32

  • Social Network Analysis Using Graph Neural Networks and Large Language Models

    Jinjie Lin
    248-252
    DOI: https://doi.org/10.54097/2pvna108

  • Dual-Force Community Evolution: Integrating Peer Influence and Interest Similarity in Social Networks

    Bowen Guo
    253-258
    DOI: https://doi.org/10.54097/4xgg7d71

  • Scenarios Where Hallucinatory Information Generated by Large Language Models is Most Difficult to Detect

    Hao Chen
    259-262
    DOI: https://doi.org/10.54097/zky1rh15

  • Collaborative Integration of Large Language Models and Computer Algebra Systems for Simulation Verification and Code Generation

    Xuhui Shi
    263-270
    DOI: https://doi.org/10.54097/hw85q020

  • The Investigation of Political Bias in Large Language Model

    Jiayi Lyu
    271-279
    DOI: https://doi.org/10.54097/3bbaja44

  • Overcoming Data Sparsity in Social Computing: A GMM+LLM Approach

    Yulong Zhao
    280-288
    DOI: https://doi.org/10.54097/4qbjsn64

  • Discussion on the Sensitivity of Input to Large Language Models

    Bochen Yuan
    289-292
    DOI: https://doi.org/10.54097/h3b84g79

  • Emotion Recognition in Social Networks Using Large Language Models

    Ming Gao
    293-297
    DOI: https://doi.org/10.54097/mbghtx09

  • CIPHER: Interpretable Price Inference by Fusing Mobility Networks and ZIP-Level Socioeconomics

    Shenghuan Wang
    298-310
    DOI: https://doi.org/10.54097/xzwbga12

  • Ordinal PCL+: A Prompt-based Multilingual Framework for Few-shot and Zero-shot Cross-lingual Text Classification

    Zhengyuan Chen
    311-320
    DOI: https://doi.org/10.54097/1rgc4x61

  • Bridging Rationales and Relations: The Graph-Rationale-Guided Retrieval-Augmented Generation in Medical QA

    Zhenyu Zhu
    321-331
    DOI: https://doi.org/10.54097/vee3xx26

  • Empirical Study on the Effectiveness of DistilBERT Fine-tuning on IMDb Sentiment Classification Outperforming CNN/LSTM

    Shengkai Yuan
    332-338
    DOI: https://doi.org/10.54097/yn47ye37

  • Privacy-Preserving Facial Emotion Classification: A Comprehensive Investigation of Federated Learning Approaches

    Chun Chen
    339-344
    DOI: https://doi.org/10.54097/zryzda22

  • Depression Analysis Based on Machine Learning and Model Visualization

    Xurui Zhang
    345-350
    DOI: https://doi.org/10.54097/azex8k71

  • A Study on Multimodal Large Models for Wireless Channels

    Qianyi Qian
    351-363
    DOI: https://doi.org/10.54097/x7skbe36

  • Face Swapping in the Deepfake Era: Technologies, Applications, and Ethical Concerns

    Kaige Zhang
    364-368
    DOI: https://doi.org/10.54097/73b15v54

  • Design and Implementation of an Eye-Tracking System with OpenCV and Synthetic Data

    Weizhe Sun
    369-374
    DOI: https://doi.org/10.54097/5j4z5e05

  • Study on real-time gesture recognition using convolutional neural network based on SMOTE method

    Pengyu Lin
    375-383
    DOI: https://doi.org/10.54097/awr58j94

  • Comparative Analysis of ML models for Stock Price Prediction

    Yaolong Xiang
    384-394
    DOI: https://doi.org/10.54097/k2vgnz37

  • A Survey on Transformer for Optical Character Recognition

    Sicheng Zhou
    395-400
    DOI: https://doi.org/10.54097/fdgc6p75

  • A Multifaceted Investigation on Enhancing Fake News Detection

    Xinnan Xue
    401-407
    DOI: https://doi.org/10.54097/yvgjx776

  • An Analysis of Knowledge Distillation Methods for Sentiment Analysis: Limitations and Future Prospects

    Qirui Li
    408-417
    DOI: https://doi.org/10.54097/tgjwa583

  • A Comprehensive Investigation of Genetic Algorithms

    Yiquan Chen
    418-423
    DOI: https://doi.org/10.54097/v9nd5j47

  • Large Language Models for Mathematical Problem Solving: Applications, Challenges and Future Directions

    Yuxuan Wan
    424-431
    DOI: https://doi.org/10.54097/0pbd1t53

  • Predicting Diabetes Using Machine Learning: A Comparative Study of Logistic Regression, k-NN, and SVM

    Yuqi Nie
    432-438
    DOI: https://doi.org/10.54097/y8w43a98

  • Titanic Survival Prediction with Enhanced Random Forests

    Shengfan Xu
    439-444
    DOI: https://doi.org/10.54097/tfxr3t12

  • Titanic Survival Prediction: A Mathematical Endeavor

    Kunyang Li
    445-451
    DOI: https://doi.org/10.54097/6xn9mq15

  • Communication-Efficient Personalized Federated Learning: A Comprehensive Investigation of Strategies and Challenges

    Shuyu Kang
    452-458
    DOI: https://doi.org/10.54097/jw4jz719

  • A Comprehensive Investigation of Federated Learning Frameworks: Architectures, Security Challenges and Future Directions

    Chuanfang Wang
    459-465
    DOI: https://doi.org/10.54097/adn0ny19

  • Optimization of Tooth Surface Modification for High-Speed Helical Face Gear Transmission Based on Meshing Impact

    Xuezhong Fu, Yujian Yan, Xudong Liu, Gaoming Zhou
    466-473
    DOI: https://doi.org/10.54097/w8g72533

  • Smart Home Security System Based on Digital Twin Technology

    Fei Gao
    474-481
    DOI: https://doi.org/10.54097/fd4yhs05

  • The survey and analysis on Physical Layer Encryption techniques

    Xingxin Yu
    482-488
    DOI: https://doi.org/10.54097/42kdfv07

  • How Human-Computer Interaction Work in An Intelligent Cockpit

    Junting Hao
    489-493
    DOI: https://doi.org/10.54097/eccr1g74

  • Deep Reinforcement Learning-Based Early Fault Warning for Rolling Bearings in Weak Data Scenarios

    Mingyu Yue
    494-500
    DOI: https://doi.org/10.54097/szffsx45

  • Comparative Analysis of FedAvg and FedProx Algorithms in Federated Learning for Handwritten Character Recognition on the EMNIST Dataset

    Xiao Ma
    501-506
    DOI: https://doi.org/10.54097/h7srvr13

  • Clustered Federated Learning for Recommendation Systems: Tackling Data Heterogeneity

    Yiyang Lyu
    507-513
    DOI: https://doi.org/10.54097/152yfh76

  • Privacy-Preserving CNN Frameworks for Brain Tumor Diagnosis Using Federated Learning

    Jiahao Ren
    514-518
    DOI: https://doi.org/10.54097/wha99894

  • Attention-Enhanced Deep U-Net for Chip Defect Segmentation: Performance and Limitations

    Yusen Fu
    519-524
    DOI: https://doi.org/10.54097/zysa7g15

  • Edge Vision for Wildfires: A Comprehensive Investigation

    Haolin Du
    525-530
    DOI: https://doi.org/10.54097/60gy2h66

  • Balancing Exploration and Exploitation: An Analytical Review of Three Classical Bandit Algorithms

    Shanwei Ji
    531-535
    DOI: https://doi.org/10.54097/bdsjtc03

  • Predicting Stroke Risk: A Logistic Regression and Data Visualization Approach

    Xinyu Wang
    536-543
    DOI: https://doi.org/10.54097/sv423433

  • Reskilling and Policy Responses to AI-Driven Labor Market Transformation

    Jia Xia
    544-549
    DOI: https://doi.org/10.54097/59541m14