A deep learning framework enhances medical image recognition by optimizing RNN architectures with LSTM, GRU, multimodal fusion, and CNN ...

Simplex optimization is one of the simplest algorithms available to train a neural network. Understanding how simplex optimization works, and how it compares to the more commonly used back-propagation ...

A group of researchers at the Massachusetts Institute of Technology have devised a potentially more effective way of helping computers solve some of the toughest optimization problems they face. Their ...

Thermal systems play a critical role in energy production, manufacturing, and building technologies. However, traditional approaches to thermal system ...

WiMi innovatively combines the robust feature extraction capabilities of QCNN with the dual-discriminator architecture to construct a hybrid quantum-classical generative adversarial framework. The ...

The developers behind the Tor network have announced a major upcoming change. The free overlay network, which enables anonymous communication on the web, will soon adopt ...

Inspired by mayfly behavior, the ERPMO protocol improves energy management and data delivery in wireless sensor networks, ...