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PURPOSERecent advances in machine learning have led to the development of classifiers that predict molecular subtypes of acute ... and accountability in AI systems. 34,35 In this ... Deep learning ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Machine learning techniques to develop a system for crop recommendation and yield prediction, aimed at supporting data-driven agricultural decision-making. Exploratory data analysis (EDA) is conducted ...
Our proposed AI-driven crop system includes algorithms which will process satellite data for weather and other information to provide the exact recommendations. The algorithms involved the below ...
To mitigate this challenge, we investigate how Machine Learning (ML) techniques, including Extreme Gradient Boosting (XGBoost), Convolutional Neural Network (CNN), and Graph Neural Network (GNN) can ...
How Machine Learning Will Transform Supply Chain Management It does a better job of using data and forecasts to make decisions. by Narendra Agrawal , Morris A. Cohen , Rohan Deshpande and Vinayak ...
A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor Fernandes, a statistics and ...
FAYETTEVILLE, Ark. — A new machine-learning model for predicting crop yield using environmental data and genetic information can be used to develop new, higher-performing crop varieties. Igor ...