Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...

Figure 1. LoRA-Chem: From Model Customization to Organic Chemistry Reaction Tasks. (a) Several machine learning algorithm paradigms applied to organic chemistry. (b) Inspired by AI-driven image style ...

Forecasting inflation has become a major challenge for central banks since 2020, due to supply chain disruptions and economic uncertainty post-pandemic. Machine learning models can improve forecasting ...

IPDsim: An interpretable model to assess individual clinical antagonism in combination therapies for cancers. Model performance across development and validation cohorts.

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Find out how machine learning analyses WhatsApp voice messages to identify depression and what this could mean for future ...