Deep Learning Model Evaluates Pre-ICU Lactate Trajectories to Predict Acute Kidney Injury
A retrospective study of 3,887 critical care patients found that integrating pre-admission dynamic lactate trajectories into an LSTM model predicted ...
A retrospective study of 3,887 critical care patients found that integrating pre-admission dynamic lactate trajectories into an LSTM model predicted ...
A new deep learning framework called SSA-MTSNet improves EEG-based emotion recognition by jointly modeling spectral, spatial, and temporal dynamics, achieving ...
An anomaly-aware deep recurrent sequence learning framework accurately forecasts extreme fine particulate matter episodes from peatland wildfires in West Kalimantan ...
A retrospective study from Reims University Hospital demonstrates that deep learning models can predict extra-corporal circuit clotting risk during hemodialysis, ...
A comparative evaluation in Bangladesh's Barishal District demonstrated that machine learning algorithms, led by Random Forest, significantly surpass conventional statistical ...
A study in Energy Informatics shows that incorporating temporal load-history information significantly improves the accuracy of short-term HVAC load forecasting ...
A new study in Applied Water Science shows that hydrogeological stability, not model complexity, is the primary control on groundwater ...
Researchers have developed a lag-informed deep-learning framework that delivers 10-hour-ahead downstream water-level forecasts in Sri Lanka's flood-prone Kalu Ganga Basin.
A contactless deep learning framework estimated window-averaged zygomaticus major sEMG envelope amplitude from facial video with a mean correlation of ...
A new federated learning framework reads each school's own CO2 record to set its aggregation weight, matching centralized training on ...
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© 2026 Scienmag - Science Magazine