Deep learning for pixel-level image fusion: Recent advances and future prospects
By integrating the information contained in multiple images of the same scene into one
composite image, pixel-level image fusion is recognized as having high significance in a …
composite image, pixel-level image fusion is recognized as having high significance in a …
Recent advances and new guidelines on hyperspectral and multispectral image fusion
Hyperspectral image (HSI) with high spectral resolution often suffers from low spatial
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …
resolution owing to the limitations of imaging sensors. Image fusion is an effective and …
A data-characteristic-aware latent factor model for web services QoS prediction
How to accurately predict unknown quality-of-service (QoS) data based on observed ones is
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …
a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) …
Charging scheduling of electric vehicle incorporating grid-to-vehicle and vehicle-to-grid technology considering in smart grid
In recent days, the deployment of electric vehicles (EVs) in automobile sector is increasing
the load demand in the distribution system. To deal with this load demand, the charging …
the load demand in the distribution system. To deal with this load demand, the charging …
An enhanced approach to optimally place the solar powered electric vehicle charging station in distribution network
Hazardous characteristics of the on-road vehicle-based emission rising an alarming
situation for the urban communities. In this line, emission-free electric vehicles ensure a …
situation for the urban communities. In this line, emission-free electric vehicles ensure a …
SEDRFuse: A symmetric encoder–decoder with residual block network for infrared and visible image fusion
Image fusion is an important task for computer vision as a diverse range of applications are
benefiting from the fusion operation. The existing image fusion methods are largely …
benefiting from the fusion operation. The existing image fusion methods are largely …
Multisensor image fusion and enhancement in spectral total variation domain
Most existing image fusion methods assume that at least one input image contains high-
quality information at any place of an observed scene. Thus, these fusion methods will fail if …
quality information at any place of an observed scene. Thus, these fusion methods will fail if …
Multispectral and hyperspectral image fusion with spatial-spectral sparse representation
Fusing a high spatial resolution multispectral image (HR-MSI) with a low spatial resolution
hyperspectral image (LR-HSI) of the same scenario to acquire a high spatial resolution …
hyperspectral image (LR-HSI) of the same scenario to acquire a high spatial resolution …
The fusion of panchromatic and multispectral remote sensing images via tensor-based sparse modeling and hyper-Laplacian prior
In this paper, we propose a tensor-based non-convex sparse modeling approach for the
fusion of panchromatic and multispectral remote sensing images, and this kind of fusion is …
fusion of panchromatic and multispectral remote sensing images, and this kind of fusion is …
Placement of public fast-charging station and solar distributed generation with battery energy storage in distribution network considering uncertainties and traffic …
In this paper, a sustainable solution for the allocation of Public Fast-Charging Stations
(PFCSs) and Solar Distributed Generations (SDGs) along with Battery Energy Storages …
(PFCSs) and Solar Distributed Generations (SDGs) along with Battery Energy Storages …