Tag: LSTM

Researchers have developed TamperNet, a hybrid spatio-temporal deep learning framework that detects frame duplication, deletion, cloning, splicing, and inpainting in ...

A transformer-based machine learning model can detect and even predict diffuse cerebral edema in cardiac arrest survivors from routine EEG ...

A systematic benchmark of classical, transformer-based and foundation AI models finds that a hybrid CNN-foundation-transformer architecture more than doubles the ...

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 ...