The aim of multi-output learning is to simultaneously predict multiple outputs given an input.
It is an important learning problem for decision-making since making decisions in the real …

Haze is a poor-quality state described by the opalescent appearance of the atmosphere
which reduces the visibility. It is caused by high concentrations of atmospheric air pollutants …

The global healthcare industry and artificial intelligence have promoted the development of
the diversified intelligent healthcare applications. Internet of Things (IoT) will play an …

Deep learning-based methods mymargin have achieved remarkable performance in 3-D
sensing since they perceive environments in a biologically inspired manner. Nevertheless …

Underwater automatic target recognition (ATR) is a challenging task for marine robots due to
the complex environment. The existing recognition methods basically use hand-crafted …

Big geo-data are often aggregated according to spatio-temporal units for analyzing human
activities and urban environments. Many applications categorize such data into groups and …

Internet of Things (IoT) devices and services provide convenience but face serious security
threats. The network intrusion detection system is vital in ensuring the security of the IoT …

In the last decade, the increase of active and passive earth observation satellites has
provided us with more remote sensing data. This fact has led to enhanced interest in the …

Recent research has demonstrated that Vision Transformers (ViTs) are capable of
comparable or even better performance than convolutional neural network (CNN) baselines …

Image dehazing aims to remove haze in images to improve their image quality. However,
most image dehazing methods heavily depend on strict prior knowledge and paired training …