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

The coral reef ecosystems of the Maldives are critical to the nation’s ecological integrity, economic development, and ...

The course begins in January 2026, and students interested in learning about image recognition, speech recognition, and ...

The current death toll in the besieged Gaza Strip likely exceeds 100,000, the results of a new study revealed.

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes ...

The ability to analyze the brain's neural connectivity is emerging as a key foundation for brain-computer interface (BCI) ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...

Although deep learning–based image recognition technology is rapidly advancing, it still remains difficult to clearly explain ...

Although some outcomes showed small to medium effect sizes, these results must be interpreted cautiously given the presence ...

This valuable study investigates how perceptual and semantic features of maternal behavior adapt to infants' attention during naturalistic play, providing new insights into the bidirectional and ...

Introduction Depressed mood is a psychological state characterised by sadness or loss of interest in activities, is a common symptom that accompanies most major mental disorders. It is therefore ...

Information Theory Meets Deep Neural Networks: Theory and Applications. The previous volume can be viewed here: Volume I Deep Neural Networks (DNNs) have become one of the most popular research ...