International Journal of Complexity in Applied Science and Technology
2026年第2卷第3期研究内容涵盖医学图像分析、低资源语言处理、外汇预测、排序算法及孕产妇抑郁症智能预测，集中体现了人工智能与复杂应用科学技术的多领域交叉研究进展。
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| Pages | Title and author(s) |
| 213-227 | Hybrid CNN with Chebyshev polynomial expansion for medical image analysis Abhinav Roy; Bhavesh Gyanchandani; Aditya Oza DOI : 10.1504/IJCAST.2026.155953 |
| 228-245 | Advancing deep learning techniques for low-resource Shahmukhi Punjabi language processing Muhammad Shabbir; Mudassir Iftikhar DOI : 10.1504/IJCAST.2026.155955 |
| 246-270 | A comparative study of machine learning and grey approach for forecasting FX rates Noorshanaaz Khodabaccus; Aslam Aly El Faidal Saib DOI : 10.1504/IJCAST.2026.155954 |
| 271-301 | A comprehensive analysis of classical sorting algorithms with diverse input conditions Mohsen Mohammadagha DOI : 10.1504/IJCAST.2026.155957 |
| 302-316 | AI-driven prediction model for antenatal and postpartum depression among Bangladeshi pregnant mothers Md. Zahurul Haque; Tasnim Binta Anowar; Sumaiya Jannat Samira DOI : 10.1504/IJCAST.2026.155956 |