Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms.

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical changes and corrosion. The framework enables more accurate, data-driven ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

A new approach to financial risk management combines ensemble machine learning algorithms with traditional financial theory to enhance systemic risk prediction. By integrating data-driven modeling ...

Mastering programming languages like Python and understanding machine learning fundamentals is essential.Building real-world ...

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Understanding how cities grow is vital for shaping sustainable urban futures—but mapping the true extent of urban expansion remains a formidable technical hurdle. A new global study takes on this ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...

Microelectronics Journal (2023). [3] Machine learning classification algorithm for VLSI test cost reduction. Integration (2022).

Enter Artificial Intelligence (AI), a transformative force that is revolutionizing how we detect, respond to, and investigate ...