Kriti Goyal used her master's degree and strategic networking to move to the US and succeed in AI at a major Big Tech company ...

Discover the ultimate roadmap to mastering machine learning skills in 2025. Learn Python, deep learning, and more to boost ...

Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Early-warning signs of marsh decline provided by the model could be crucial for conservation. “Once [marsh] loss occurs, that ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

The proposed method employs a new sparse Bayesian learning algorithm based on coupled hyperblocks to estimate unknown switching instants. Experimental results on benchmark artificial and real networks ...

Discover how machine learning is reshaping chemical manufacturing—from optimizing reactions and reducing waste to ...

A research team from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences has developed a ...

Learning Bayesian network from data is a non-deterministic polynomial-time (NP) hard problem. Experts’ knowledge is beneficial to determine the BN structure. In this paper, we propose a novel ...