Vol. 2 No. 4 (2026): 2026 2nd International Conference on Digital Intelligence and Computing Technologies (DICT 2026)

Published: 2026-07-02

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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