Tag: attention mechanism

Researchers in India have built a reinforcement learning day-trading agent that combines CNNs, attention-based LSTMs, and explainable AI to outperform ...

Researchers have developed MLFQ-Hybrid, a deep learning framework that adapts the operating system concept of multi-level feedback queues to improve ...

A redesigned YOLOv11n network recognizes lying, standing, eating and drinking in dense sheep flocks in real time while running on ...

Researchers have unveiled a meta-learning model that recognizes ship types from underwater sound using only a few examples while retaining ...

Researchers in China have developed HSF-Net, a hybrid-scale fusion deep learning network that achieved an 83.4 percent Dice score in ...

Researchers have developed a compact optimized convolutional neural network framework that classifies multiple lung diseases from CT and chest X-ray ...

A new U-shaped deep learning network with an attention fusion module outperforms established models in segmenting the liver and its ...

Researchers in China have developed a transparent deep learning framework called MDANet that accurately predicts the dynamic behavior of a ...

Chinese researchers have developed CGFM, an attention-guided fusion module that lets YOLOv8-based detectors intelligently combine visible-light and infrared satellite imagery, ...

Researchers in India have combined moth-inspired optimization, differential evolution and attention-based TabNet to predict vehicle maintenance failures with 97.6 percent ...