Multi-modal fusion combines multiple modal information to overcome the limitation of
incomplete information expressed by a single modality, so as to realize the complementarity …

Hyperspectral image (HSI) provides rich spectral–spatial information and the light detection
and ranging (LiDAR) data reflect the elevation information, which can be jointly exploited for …

The expression of human emotions is a complex process that often manifests through
physiological and psychological traits and results in spatio-temporal brain activity. The brain …

An early evaluation of colorectal cancer liver metastasis (CRCLM) is crucial in determining
treatment options that ultimately affect patient survival rates and outcomes. Radiomics …

Identification of seizure type plays a vital role during clinical diagnosis and treatment of
epilepsy. However, the clinical evaluation of seizure type is highly dependent on the …

Deep learning has been widely used in multi-modal Speech Emotion Recognition (SER) to
learn sentiment-related features by aggregating representations from multiple modes …

Mobile traffic prediction is an important yet challenging problem in consumer applications
because of the dynamic nature of user behavior, varying application quality of service (QoS) …

An important component of human analysis of medical images and their context is the ability
to relate newly seen things to related instances in our memory. In this paper we mimic this …

Automatic voice pathology detection using non-invasive techniques that utilize patients'
speech and electroglottograph (EGG) signals play a vital role in diagnosis and early medical …

Abstract Single-exposure High Dynamic Range Imaging (HDRI), as a typical ill-posed
problem, has attracted extensive attention from researchers. However, restoration in real …