Tag: LSTM

Researchers have developed ADLM-TiM, a hybrid deep learning and Transformer model that detects advanced persistent threats in highly imbalanced network ...

Researchers have created a hybrid onboard model for turboshaft engines that combines component-level physics simulations with sparse flight data calibration, ...

Researchers in China have developed OzoneKBNet, a retrieval-augmented AI framework that mines historical pollution episodes to deliver more accurate 48-hour ...

Researchers at KAIST have developed a reinforcement learning framework that lets fuel-constrained drone teams replan their routes in real time ...

Researchers have built a hybrid LSTM-BiLSTM deep learning model that adapts to seasonal wind patterns and outperforms transformers while using ...

A new lightweight deep learning model called BOA-LSTM combines Bayesian optimization and attention mechanisms to deliver faster and more accurate ...

A hybrid CNN–LSTM deep learning model tuned by Bayesian optimization outperformed classical and standalone neural benchmarks in quarterly GDP forecasts ...

Researchers used seven machine-learning models, led by Transformer and LSTM architectures, to reconstruct deep soil temperatures in cold-region canal slopes ...

Researchers in South Korea have developed a temporal convolutional network that forecasts dam storage six months in advance, doubling the ...

A new multi-branch deep learning model fusing satellite, weather, soil and extreme climate data predicts winter wheat yields in China ...