1. Intelligent Classification Standards and Core Requirements ...

This work introduces a formulation of model predictive control (MPC), which adaptively reasons about the complexity of the model while maintaining feasibility and stability guarantees. Existing ...

In practice, the operation of high-speed trains is often affected by adverse weather conditions or equipment failures, which result in delays and even cancellations of train services. In this article, ...

AI transforms RF engineering through neural networks that predict signal behavior and interference patterns, enabling ...

1. From 'Simulating Humans' to 'Data-Driven': The Ultimate Goal and Implementation Path of AI ...

Objectives To assess the impact of comprehensive tobacco control policies on maternal smoking during pregnancy and perinatal ...

MCPs represent the next frontier in digital banking. Grasshopper Bank's MCP elevates digital banking to proactive, ...

A new model using genomic and pathological data improves prognostic accuracy for advanced NSCLC, aiding personalized treatment plans. Traditional indicators like tumor mutational burden and PD-L1 ...