Supplier selection strategies evaluation: a multi-agent based simulation
Published in: International Journal of Economics and Business Research
Sep 01, 2025
Local food systems have gained prominence in response to increasing consumer demand for locally produced food, driven by heightened interest in diet, food quality, sourcing, production methods, and food safety. These systems support the economic sustainability of small and medium-sized farms and promote consumer awareness through enhanced transparency and direct farmer-customer relationships. However, the effectiveness of these systems depends on robust and efficient supply chain operations, wh...
Optimizing Fetal Health Diagnosis: An Active Learning Framework with LightGBM
Published in: 2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)
Sep 01, 2025
Sana Fatima
Mamoona Akbar
Haroon Mahmood
Anosha Khan
Fetal health classification is crucial for the timely identification of abnormalities and the improvement of neonatal care. Early prediction of fetal health is necessary to ensure a healthy pregnancy and lower rates of maternal and newborn mortality. Machine learning algorithms improve fetal health monitoring by enabling early detection of abnormalities and facilitating timely medical interventions. However, traditional machine learning models rely on large labeled datasets, which are often cos...
LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy
Published in: IEEE Access
Aug 05, 2025
Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extremely high communication speed and low latency rates. However, despite the ultra-low latency, high throughput, and AI-assisted orchestration capabilities they promise, they are vulnerable to stealthy and long-term Advanced Persistent Threats (APTs). Large Language Models (LLMs) stand out as an ideal candidate to fill thi...