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 …

One of the major challenges of the supply chain managers is to select the best suppliers
among all possible ones for their business. Although the research on the supplier selection …

To improve the infrared target features and preserve the texture details from source images,
a simple and efficient multi-level detail enhancement decomposition method based on …

Multi-focus image fusion (MFIF) is an image enhancement technology with broad application
prospects that can effectively extend the depth-of-field of optical lenses. This paper presents …

How to accurately determine focused and defocused domains is a difficult problem in the
field of multi-focused image fusion. To solve this problem, we propose a new deep learning …

The fusion of infrared and visible images combines the advantages of thermal radiation
information in infrared images and texture information in visible images. To preserve salient …

This paper presents an optimal robust control for a permanent magnet synchronous motor
(PMSM) with uncertainties and external disturbances which can be described by fuzzy …

Infrared and visible image fusion is a common solution that joints multispectral modals to
address weaknesses of observation in a complex environment to achieve all-weather and …

Despite the fact that there is a remarkable achievement on multifocus image fusion, most of
the existing methods only generate a low-resolution image if the given source images suffer …

Medical fusion image can integrate complementary information from multi-modal medical
images, so that more comprehensive and accurate image results could be obtained. This …