The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Vinay Deeti is driving a new wave in asset management through intelligent automation, making investment analytics smarter, ...

In intelligent fault diagnosis, transfer learning can reduce the requirement of sufficient labeled data and the same data distribution. However, for the diagnosis of a new machine, there are still ...

The machine learning model was based on a data set of over 1000 data points and involved bagging, boosting, and stacking techniques using RF, AdaBoost, and LR algorithms, respectively.

In this paper, we propose a machine learning-based automated framework for algorithm selection and configuration for MPC applications. This framework aids the online implementation of MPC by selecting ...

Methods: In this study, we propose a stacking ensemble learning model for non-destructive moisture prediction, leveraging image-based analysis of naturally suspended cigar leaves. In this study, front ...

News. As of mid-2023, an estimated 1 in 4 venture dollars in the U.S. this year has gone to a startup that incorporates artificial intelligence in its busi ...

Based on a real data set including spatial, temporal and weather features, the findings of this study demonstrated that the proposed stacking-based ensemble model showed a better score and the minimum ...