Tag: Neural Computing and Applications

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 ...

Researchers at Ajman University have hybridized a rat-inspired optimization algorithm with Lévy Flights and simulated annealing to produce a highly ...

A new Riemannian framework called HyperSpectrum Geometry lets text classifiers bend the curvature of their semantic space, revealing that emotionally ...

Researchers have built a closed-loop decision-making system that fuses machine learning prediction with operations research optimization to keep Internet of ...

Researchers in China have developed a Multimodal Transformer Attention model that jointly extracts and fuses video, audio and text features ...

Researchers in Spain have unveiled a data reduction method combining self-organizing maps and permutation importance that shrinks banking datasets by ...