ascopubs.org

Prediction of Cancer Symptom Trajectory Using Longitudinal Electronic Health Record Data and Long Short-Term Memory Neural Network

Ability to predict symptom severity and progression across treatment trajectories would allow clinicians to provide timely intervention and treatment planning. However, such predictions are difficult ...
pv magazine International

Solar forecasting based on all sky imaging, long short-term memory

Researchers from the Netherlands’ Utrecht University and EKO Instruments Europe developed a novel machine learning and all-sky imaging-based short-term solar irradiance forecasting. The model is based ...
EurekAlert!

New irradiance forecasting method could improve stand-alone photovoltaic system operation

Researchers have developed a feature selection-based solar irradiance forecasting method to improve the operation of ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
ascopubs.org

Predicting mortality in upper gastrointestinal tract cancer using long short-term memory neural networks.

Incidence trends, demographic disparities, and survival outcomes of gastrointestinal malignancies in young adults: A focus on stomach and pancreatic cancers. Safety and efficacy of first-line ...
GEN

Parallel Pathway Leaves Long-Term Memory Unscathed Despite Short-Term Disruption in Mice

Using optogenetics techniques, scientists from Max Planck Florida Institute of Neuroscience identified a new pathway for forming long-term memories in the brain. Their findings suggest that long-term ...