This proposal outlines a machine learning-based approach aimed at improving productivity in haulage operations within ...

This study applied three models—random forest (RF), gradient boosting regression (GBR), and linear regression (LR)—to predict county-level LC mortality rates ...

In data analysis, time series forecasting relies on various machine learning algorithms, each with its own strengths. However, we will talk about two of the most used ones. Long Short-Term Memory ...

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

Excerpted with permission from AI for the Rest of Us: An Illustrated Introduction, Sairam Sundaresan, Bloomsbury India.

Soft Computing (SC) is an Artificial Intelligence (AI) approach that is more effective at solving real-life problems than traditional computing models. Soft Computing models are tolerant of partial ...

A new study finds that AI-based analytical approaches provide more reliable insights into the efficiency of circular economy ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...