[1] Yu C, Wang H, Chen J, et al. When Rules Fall Short: Agent-Driven Discovery of Emerging Content Issues in Short Video Platforms[J]. arXiv preprint arXiv:2601.11634, 2026.
[2] Yin M. A Data-Driven Approach for Real-Time Bottleneck Detection and Optimization in Semiconductor Manufacturing Using Active Period Method and Visualization[J]. Academic Journal of Natural Science, 2025, 2(4): 19-26. DOI: https://doi.org/10.70393/616a6e73.333534
[3] Yin M. Predictive Maintenance of Semiconductor Equipment Using Stacking Classifiers and Explainable AI: A Synthetic Data Approach for Fault Detection and Severity Classification[J]. Journal of Industrial Engineering and Applied Science, 2025, 3(6): 36-46. DOI: https://doi.org/10.70393/6a69656173.333439
[4] Liu Z. Reinforcement learning for prompt optimization in language models: A comprehensive survey of methods, representations, and evaluation challenges[J]. ICCK Transactions on Emerging Topics in Artificial Intelligence, 2025, 2(4): 173-181. DOI: https://doi.org/10.62762/TETAI.2025.790504
[5] Sun Y, Ortiz J. An ai-based system utilizing iot-enabled ambient sensors and llms for complex activity tracking[J]. arXiv preprint arXiv:2407.02606, 2024. DOI: https://doi.org/10.54097/dj2pt496
[6] Liu Z. Human-AI co-creation: a framework for collaborative design in intelligent systems[J]. arXiv preprint arXiv: 2507.17774, 2025. DOI: https://doi.org/10.54941/ahfe1007036
[7] Chen Y. Artificial Intelligence in Economic Applications: Stock Trading, Market Analysis, and Risk Management[J]. Journal of Economic Theory and Business Management, 2025, 2(5): 7-14. DOI: https://doi.org/10.70393/6a6574626d.333232
[8] Chen Y, Xu J. Deep Learning for US Bond Yield Forecasting: An Enhanced LSTM–LagLasso Framework[J]. ICCK Transactions on Emerging Topics in Artificial Intelligence, 2026, 3(2): 61-75. DOI: https://doi.org/10.62762/TETAI.2025.197745
[9] Yu C, Wu H, Ding J, et al. Unified Survey Modeling to Limit Negative User Experiences in Recommendation Systems[C]//Proceedings of the Nineteenth ACM Conference on Recommender Systems. 2025: 1104-1107. DOI: https://doi.org/10.1145/3705328.3748108
[10] Chen Y. Generative Diffusion Models for Option Pricing: A Novel Framework for Modeling Volatility Dynamics in US Financial Markets[J]. Journal of Industrial Engineering and Applied Science, 2025, 3(6): 23-29. DOI: https://doi.org/10.70393/6a69656173.333338
[11] Li K, Chen X, Song T, et al. Solving situation puzzles with large language model and external reformulation[J]. arXiv preprint arXiv:2503.18394, 2025. DOI: https://doi.org/10.1109/AINIT65432.2025.11035296
[12] Chen Y. A Comparative Study of Machine Learning Models for Credit Card Fraud Detection[J]. Academic Journal of Natural Science, 2025, 2(4): 11-18. DOI: https://doi.org/10.70393/616a6e73.333530
[13] Yin M. Defect Prediction and Optimization in Semiconductor Manufacturing Using Explainable AutoML[J]. Academic Journal of Natural Science, 2025, 2(4): 1-10. DOI: https://doi.org/10.70393/616a6e73.333533
[14] Yu C, Li P, Wu H, et al. USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems[J]. arXiv preprint arXiv:2412.10674, 2024.
[15] Yin M. Data Quality Control in Semiconductor Manufacturing through Automated ETL Processes and Class Imbalance Handling Techniques[J]. Journal of Industrial Engineering and Applied Science, 2025, 3(6): 13-22. DOI: https://doi.org/10.70393/6a69656173.333532
PDF
