Using these insights, the team developed a machine learning model incorporating 13 predictors, achieving high accuracy in predicting gene selection across programs. The model provides a ranked ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

Despite the robustness of some machine learning models, underlying assumptions still need to be challenged and verified to ensure trustworthiness and responsibility in model deployment [6].