In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

The creaminess of custard. The fizz of foam. The slurpability of soup. Texture is just as essential to our eating experience ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

We evaluate various machine learning (ML) and deep learning (DL) models to determine the most effective approach for yield prediction. Additionally, we explore the impact of different input features ...

Gully erosion is the most severe form of soil erosion, and it can seriously impact agricultural fields, contributing to ...

In this regards, this paper proposes a model to select the appropriate crop ... using the weather parameters which are very much influencing the agriculture. Random Forest algorithm is the widely used ...

Machine Learning (ML) represents a subfield of AI devoted to developing decision-making systems trained on sample data. 4 In epidemic prediction, ML can use real-time data to improve understanding ...

Dr. Sajal Das, a computer science professor at Missouri S&T, was recently awarded a $1.5 million grant from the National ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

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