About the Journal

Academic Journal of Science and Technology (AJST) is a peer-reviewed journal published by Darcy & Roy Press. The mission of the journal is to provide an academic forum for discussing the issues of science, engineering, and technology across the world. All articles published are rigorously and fast reviewed meeting the Journal Quality standards.

Current Issue

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
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