Nowadays, big data analysis has become an important approach in social information
network. However, the social information may not be distributed independently and …

Ordinal regression (OR) is a crucial in machine learning. Usual assumption is that all
training instances are perfectly denoted. However, when this assumption does not hold, the …

The integration of digital twin technology and the Metaverse has attracted widespread
attention in the field of consumer health. Meanwhile, the immersive virtual world, Metaverse …

Advanced artificial intelligence (AI) solutions deployed in the environment of space-air-
ground integrated vehicular networks (SAGVNs) are instrumental in achieving efficient …

Beyond 5G-enabled Edge Computing Networking (ECN) will further deploy computing and
communication resources to the edge of the networks. Then, edge service demands for …

In recent years, object detection based on deep learning has been widely applied and
developed. When using object detection methods to process remote sensing images, the …

Deep graph convolution networks which exploit relations among facial muscle movements
for facial expression recognition (FER) have achieved great success. Due to the limited …

Emotional recognition in conversations (ERC) is increasingly being applied in various IoT
devices. Deep learning‐based multimodal ERC has achieved great success by leveraging …

With the development of agricultural modernization, strengthening the supervision of
agricultural production activities plays a crucial role in social security management and …

Deep learning-based models have obtained great improvements in facial expression
recognition (FER). However, these deep models have high computational complexity and …