Tag: Neural Computing and Applications

A new study proposes a TD3-based intelligent terminal guidance law that uses Bi-LSTM trajectory prediction to improve missile interception of ...

A new context-aware machine translation architecture based on BERT improves document-level translation precision and anaphoric coherence by using multi-granularity encoding ...

Researchers report a retrieval-augmented LLM framework that integrates into the PRISMA 2020 workflow, achieving 85.11 percent extraction recall for domain-specific ...

A new lightweight model combines self-attention-enhanced YOLOv5 with 2D image sonar to detect and localize small underwater targets at long ...

A new deep learning model combining wavelet decomposition, a CNN and LSTM layers achieved an RMSE of 0.09 in forecasting ...

A new deep learning framework can detect six types of cyber-attacks on EEG signals and reconstruct the corrupted brain data ...

Researchers in Saudi Arabia have trained a dialogue system with reinforcement learning to treat small talk as an action that ...

Researchers have developed CL3AN-GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost ...

Researchers at Fayoum University show that a simple averaged ensemble of machine learning models, evaluated on the OhioT1DM dataset with ...

Researchers have developed an adaptive ant colony system that combines four heuristic strategies, a roulette-based ranking mechanism, and a novel ...