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Content
2026, Volume 2, Issue 4
- 1-15 Multi-Dimensional Training Data Bias Detection and Fairness-Aware Augmentation for Equitable AI-Assisted Medical Imaging Diagnosis
by Chen, Yanhuan - 16-27 A Comparative Empirical Study of Interpretable Regression and Clustering Methods for Quantifying Dental Composite Formulation-Performance Relationships
by Chung, Pei-ting - 28-40 An Empirical Evaluation of Missing Value Imputation Strategies for Credit Default Prediction: Robustness across Missingness Rates and Mechanisms on U.S. Consumer Lending Data
by Luo, Zhi - 41-52 Chain-of-Thought Prompting with Retrieval-Augmented Generation for Explainable Chest Radiograph Diagnosis: A Review of Vision-Language Models
by Zhang, Yali - 53-66 A Workload-Aware Hybrid Cache Eviction and Asynchronous Prefetching Strategy for Tail Latency Reduction in Real-Time Streaming Data Pipelines
by Wu, Zetian - 67-78 Comparative Evaluation of Lightweight Machine Learning Classifiers for Rapid Infectious Disease Identification on Resource-Constrained Point-of-Care Devices: Accuracy, Latency, and Subgroup Performance
by Wang, Yijie - 79-89 Forecasting Method Selection for Digital Marketing Budget Pacing: A Seasonality-Aware Comparison of MAPE and RMSE Trade-offs on Public Retail and Sponsored-Search Benchmarks
by Chen, Xi - 90-102 An Empirical Comparison of XGBoost and LightGBM for Capital Expenditure Deviation Prediction in U.S. FERC-Regulated Rate-Base Transmission Projects
by Peng, Yiyang & Gao, Shengyan - 103-113 An Empirical Study on Linking DBSCAN Degradation Patterns to Kaplan-Meier Failure Probability and Maintenance-Demand Peaks in NASA C-MAPSS Turbofan Engines
by Tian, Ye - 114-128 A Comparative Analysis of Unsupervised AI Anomaly Detection Algorithms for Identifying Suspicious Trading Patterns Around U.S. Corporate Earnings Announcements
by Chen, Xujia - 129-141 An Empirical Comparative Evaluation of BERT-Family and LLM-Family Models for Automatic CTCAE Severity Grading from Structured FDA FAERS Report Composites
by Liu, Xizhu - 142-153 An Empirical Analysis of Click Temporal Features for Automated Ad Fraud Detection in Mobile In-App Browser Environments
by Cao, Hao - 154-168 Graph Neural Network-Based Cross-Market Risk Contagion Analysis between U.S. Equity Sectors and Treasury Yields during the 2023 Regional Banking Stress
by Li, Yifei & Zhang, Xinyu & Hao, Chenhui - 169-182 Temporal Deep Learning for Financial Fraud Detection: A Comparative Evaluation of LSTM, GRU, Transformer, and TCN on Real Transaction Datasets
by Lu, Yinzhe - 183-194 Synthetic Tabular Data for Fraud Detection: A TSTR Comparison of Rule-Based, TVAE, and CTGAN Generators
by Gao, Yunfei - 195-211 LLM-Augmented Machine Learning for Cross-Channel Media Allocation in E-Commerce Marketing
by Li, Xiaochen & Meng, Siquan & Wang, Jason
2026, Volume 2, Issue 3
- 1-11 A Comparative Study of Spatiotemporal Clustering and Classification Approaches for Security Incident Risk Assessment in UN Peacekeeping Operations
by Shang, Wen & Zhao, Fanyi & Liu, Muyu - 1-12 Evaluating BLIP-2, LLaVA, and GPT-4V for Accessible Artwork Description Generation in Virtual Museums: A Comparative Study Based on WCAG-Aligned Evaluation and User Satisfaction
by Li, Jiaying - 1-14 Comparative Evaluation of Graph Neural Networks for Cross-Market Risk Contagion Path Identification in Multi-Layer Financial Networks
by Li, Yifei & Fu, Xuanyi - 13-25 Comparative Evaluation of Gradient Compression Strategies for Communication-Efficient Federated Learning in Multi-Hospital Medical Image Classification
by Han, Mingxuan - 26-37 Feature Weight Optimization in Machine Learning Classifiers for Conflict Escalation Early Warning: Evidence from Diplomatic Signals and News Text
by Shang, Wen & Xu, Wang & Zhou, Yuyu - 38-49 Comparative Empirical Evaluation of Hallucination Mitigation Strategies in LLM-Based Text Generation
by Xu, Shuyang & Li, Minhao & Zhao, Fanyi - 50-61 Fairness-Constrained Temporal Feature Learning Algorithm for Cross-Population Glucose Prediction and Adherence Risk Stratification Using Continuous Glucose Monitoring Data
by Liu, Xizhu - 62-79 Comparative Evaluation of Automated Approaches for Legal Aid Document Generation: Template-Based, Rule-Based, and LLM-Based Methods
by Zhang, Hanfei - 80-91 A Comparative Analysis of Attention Mechanisms in Vision Transformers for Fine-Grained Image Recognition
by Liu, Muyu & Yu, Mingzhuo - 92-103 Empirical Evaluation of Constraint Discovery Techniques for Business Logic Consistency Verification in Payroll Data Migration
by Cao, Hao & Liu, Muyu - 104-114 Trustworthy Artificial Intelligence in Financial Decision-Making: A Systematic Review of Explainability, Fairness, and Accountability
by Li, Minhao & Xu, Shuyang - 115-124 AI-Based Sentiment Analysis for Stock Market Prediction: A Systematic Literature Review
by Zhao, Fanyi & Tang, Tianxing
2026, Volume 2, Issue 2
- 1-6 Dynamic Portfolio Construction in High-Frequency Markets Using Microstructure-Aware Deep Temporal Models
by Meng, Xiaoyi - 7-17 G-MATCH: Graph-Structured Memory with Interpretable Motif Matching for Future Node Affinity Prediction
by Huang, Weijue - 18-31 Explainable Risk Stratification for Polypharmacy-Related Adverse Outcomes in Community-Dwelling Elderly: A Rule-Enhanced Machine Learning Approach
by Wang, Yijie - 32-43 Performance Benchmarking and Optimization Strategies for Depth Estimation Algorithms in Unstructured Environments
by Li, Yuhan - 44-54 Privacy-Preserving Federated Learning for Collaborative Risk Monitoring Across Financial Institutions: Balancing Regulatory Compliance and Intelligence Sharing
by Zhong, Minju - 55-66 Evaluation of Differential Privacy and Federated Learning for AI-Driven Customer Service Applications
by Zhang, Yajing - 67-77 System Architecture Design of Cloud Platforms for Large-Scale Data Processing
by Shen, Peiyilin - 78-89 Fairness-Aware Credit Evaluation: Bias Detection and Mitigation Techniques for Inclusive Lending Practices
by Luo, Zhi - 90-101 Rethinking Fair Use in the Age of AIGC: Balancing Copyright Protection and Technological Innovation
by Zhu, Qianwen
2026, Volume 2, Issue 1
- 156-161 Residual Stress-Driven Fatigue Life Optimization of Medical Welded Structures via Coupled Thermo-Mechanical Modeling
by Dubois, Claire & Lefèvre, Alexandre & Martin, Jean-Baptiste - 162-167 Federated Graph Learning for Cross-Institution Money-Laundering Detection on Heterogeneous Transaction Networks
by Virtanen, Emma & Korhonen, Sanna & Heikkilä, Oskari & Nieminen, Lauri - 168-173 Causal Impact of Cashback Campaigns on Post-Marketing Default Behavior in Consumer Lending
by Sokolov, Anna & Kuznetsov, Dmitry & Petrov, Ivan - 174-184 Research on Collaborative Governance Models in the Operation of Intelligent Logistics Systems
by Che, Xuanmin - 204-214 Comparative Evaluation of Machine Learning Algorithms for Spectrophotometric Dental Shade Classification
by Chung, Pei-ting - 215-229 AI-Enhanced Healthcare Data Quality Governance: An Integrated Approach for Anomaly Detection and Integrity Verification
by Liu, Yisi - 230-244 Reframing Business Strategy through Data: A Review of Data-Driven Strategic Thinking
by Li, Boxiong
2025, Volume 1, Issue 2
- 19-31 AI-Enhanced Predictive Maintenance Framework for Modular Data Center Infrastructure: An Automated Firmware Lifecycle Management Approach
by Long, Xiaoyi - 32-44 Deep Learning-Based Identification and Quantitative Analysis of Risk Contagion Pathways in Private Credit Markets
by Han, Jiahui - 57-68 Optimization of Cancer Patient Survival Prediction Algorithms Based on Multi-Dimensional Feature Selection
by Zhang, Chuhan - 86-97 AI-Enhanced Early Stopping Decision Framework for A/B Testing: A Machine Learning Approach to Optimize Experimental Efficiency
by Wang, Yi - 110-120 Artificial Intelligence-Driven Optimization of Accounts Receivable Management in Supply Chain Finance: An Empirical Study Based on Cash Flow Prediction and Risk Assessment
by Ge, Liya