Tag: convolutional neural network

Researchers have developed RIASO, a real-time offloading algorithm that fuses Lyapunov optimization with multi-output deep reinforcement learning to keep multi-access ...

KAIST researchers combined physics-based preprocessing with a FiLM-conditioned convolutional neural network to classify weld defects in phased-array ultrasonic testing, reaching ...

Researchers have developed a Tuned Efficient Convolutional Neural Network framework that combines adaptive contrast enhancement, total variation denoising, depth estimation ...

Researchers in Bangladesh have developed an explainable deep learning framework that classifies brain tumors on MRI scans in 2.45 milliseconds ...

Researchers trained a convolutional neural network to detect and characterize eating disorder discourse on Weibo, uncovering five major themes in ...

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

Researchers at The University of Osaka used long-pulse lasers and ultrathin graphene targets, aided by a convolutional neural network for ...

Researchers have shown that the topology of climate networks built from sea level pressure data carries a detectable signature of ...

Researchers have developed a hybrid CNN-XGBoost machine learning framework that sharply improves satellite rainfall estimates over the data-sparse interior of ...

Researchers in China have developed a noise-resistant deep neural network that monitors the oil temperature of marine thrust bearings from ...