AI Outperforms Traditional Methods in Forecasting River Sediment Loads
A new study in Water Resources Management shows that Random Forest and other machine learning models can forecast daily suspended ...
A new study in Water Resources Management shows that Random Forest and other machine learning models can forecast daily suspended ...
Researchers at the CDC and Emory University have built a machine learning-powered database that automatically curates the rapidly growing literature ...
Researchers in Tehran have developed Confidence-MPT, a hybrid framework that embeds LSTM neural network forecasts and a measure of predictive ...
A causally enhanced machine learning model from China predicts cumulative live birth rates in IVF and identifies modifiable factors and ...
Researchers at the University of Ghana used random forest and decision tree classifiers trained on airborne geophysical data to map ...
Researchers have developed DIRA, a model that combines dynamic entity embeddings with implicit relation-aware self-attention to significantly improve temporal knowledge ...
Researchers at Georgia Tech have developed PERSCO, a control framework that lets mobile robots learn in real time how fast ...
A new deep learning network called MHISR reconstructs sharp microscopic hyperspectral images, enabling researchers to quantify rice disease resistance through ...
A new review argues that artificial intelligence has accelerated perovskite solar cell research locally but cannot deliver industrial deployment without ...
Researchers in India and Spain show that ensemble machine learning models combined with explainable AI can detect causal relationships in ...
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© 2025 Scienmag - Science Magazine