Journal of Sustainability, Policy, and Practice

Articles

• Multi-Dimensional Training Data Bias Detection and Fairness-Aware Augmentation for Equitable AI-Assisted Medical Imaging Diagnosis

  Yanhuan Chen (Author)

  1-15

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• A Comparative Empirical Study of Interpretable Regression and Clustering Methods for Quantifying Dental Composite Formulation-Performance Relationships

  Pei-ting Chung (Author)

  16-27

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• An Empirical Evaluation of Missing Value Imputation Strategies for Credit Default Prediction: Robustness across Missingness Rates and Mechanisms on U.S. Consumer Lending Data

  Zhi Luo (Author)

  28-40

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• Chain-of-Thought Prompting with Retrieval-Augmented Generation for Explainable Chest Radiograph Diagnosis: A Review of Vision-Language Models

  Yali Zhang (Author)

  41-52

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• A Workload-Aware Hybrid Cache Eviction and Asynchronous Prefetching Strategy for Tail Latency Reduction in Real-Time Streaming Data Pipelines

  Zetian Wu (Author)

  53-66

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• Comparative Evaluation of Lightweight Machine Learning Classifiers for Rapid Infectious Disease Identification on Resource-Constrained Point-of-Care Devices: Accuracy, Latency, and Subgroup Performance

  Yijie Wang (Author)

  67-78

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• 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

  Xi Chen (Author)

  79-89

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• An Empirical Comparison of XGBoost and LightGBM for Capital Expenditure Deviation Prediction in U.S. FERC-Regulated Rate-Base Transmission Projects

  Yiyang Peng, Shengyan Gao (Author)

  90-102

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• An Empirical Study on Linking DBSCAN Degradation Patterns to Kaplan–Meier Failure Probability and Maintenance-Demand Peaks in NASA C-MAPSS Turbofan Engines

  Ye Tian (Author)

  103-113

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• A Comparative Analysis of Unsupervised AI Anomaly Detection Algorithms for Identifying Suspicious Trading Patterns Around U.S. Corporate Earnings Announcements

  Xujia Chen (Author)

  114-128

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• An Empirical Comparative Evaluation of BERT-Family and LLM-Family Models for Automatic CTCAE Severity Grading from Structured FDA FAERS Report Composites

  Xizhu Liu (Author)

  129-141

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• An Empirical Analysis of Click Temporal Features for Automated Ad Fraud Detection in Mobile In-App Browser Environments

  Hao Cao (Author)

  142-153

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• Graph Neural Network–Based Cross-Market Risk Contagion Analysis between U.S. Equity Sectors and Treasury Yields during the 2023 Regional Banking Stress

  Yifei Li, Xinyu Zhang, Chenhui Hao (Author)

  154-168

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• Temporal Deep Learning for Financial Fraud Detection: A Comparative Evaluation of LSTM, GRU, Transformer, and TCN on Real Transaction Datasets

  Yinzhe Lu (Author)

  169-182

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• Synthetic Tabular Data for Fraud Detection: A TSTR Comparison of Rule-Based, TVAE, and CTGAN Generators

  Yunfei Gao (Author)

  183-194

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