Environment perception and understanding represent critical aspects in most computer vision systems and/or applications.State-of-the-art techniques to solve this vision task (e.g., semantic instance segmentation) require either dedicated hardware resources to run or a longer execution time.Generally, the main efforts were to improve the accuracy of
Neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, and amyotrophic lateral sclerosis (ALS), are characterized by the death of neurons within specific regions of the brain or spinal cord.While the etiology of many neurodegenerative diseases remains elusive, several factors are thought to contribute to the neu
The increasing demand for location-dependent services in wireless sensor networks (WSNs) calls for solutions capable of handling the diversified demands and the unique challenges presented in WSNs.In most applications, nodes need 1.00/1NN to determine their locations in a reliable manner while operating under stringent constraints in computation, c
Synthetic aperture radar (SAR) and optical images often present different geometric structures and texture Wipes features for the same ground object.Through the fusion of SAR and optical images, it can effectively integrate their complementary information, thus better meeting the requirements of remote sensing applications, such as target recogniti
Ensuring stability and reliability in power systems requires accurate state estimation, which is challenging due to the 1.00/1NN growing network size, noisy measurements, and nonlinear power-flow equations.In this paper, we introduce the Graph Attention Estimation Network (GAEN) model to tackle power system state estimation (PSSE) by capitalizing o