Tag: hyperparameter optimization

A replication and extension study in Cluster Computing confirms that LSTM networks maintain high intrusion detection performance in IoT networks, ...

A new AI framework combining attention-enhanced YOLOv8 and Bald Eagle Optimization achieved 98.94% accuracy in detecting transmission and distribution faults ...

A new framework uses ant colony optimization to configure a modified DeepLabV3+ network with a residual feature fusion module, reporting ...

A new study reports a bumble bee mating-optimized convolutional neural network that classifies seven student emotional states from facial expressions ...

A hybrid ConvNeXt and Random Walk Grey Wolf Optimizer framework classified six categories of cotton leaf conditions with 98.39% accuracy ...

A new framework combines TPE-optimized stacking of gradient boosting models with differential privacy and a SHAP-based compliance audit, achieving 99.21 ...

A new deep learning framework that pairs super-resolution image enhancement with swarm-optimized transfer learning classified Alzheimer's disease stages from MRI ...

A new difficulty-aware Transformer framework jointly optimized by particle swarm intelligence improves sports score trend prediction while attributing forecasts to ...

Researchers in India have developed an optimized machine learning framework combining preprocessing, feature selection and hyperparameter tuning that predicts agronomic ...

Researchers combined reconstructed phase space representations, a 3D convolutional neural network, and gray wolf optimizer tuning to achieve state-of-the-art cross-corpus ...