The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy of Sciences (CAS), has ...

Abstract: The security of Industrial Control Systems (ICSs) is critical for the operation of essential infrastructure like energy, water, and transportation. However, ICS communication protocols often ...

The study points up interpretability as a critical barrier to trust and adoption. Many AI-based cybersecurity tools function ...

A research team led by Chang Keke from the Ningbo Institute of Materials Technology and Engineering (NIMTE), Chinese Academy ...

Overview: Machine learning failures usually start before modeling, with poor data understanding and preparation.Clean data, ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

Discover the future of forestry with our in-depth look at a revolutionary tree trimming machine designed for efficient and precise tree delimbing. This state-of-the-art automated tree trimming system ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

Abstract: Medical diagnosis is a crucial task in the medical field, in terms of providing accurate classification and respective treatments. Having near-precise decisions based on correct diagnosis ...