Abstract: With previously unattainable performance metrics like terabit-per-second data rates, extremely low latency, and ubiquitous coverage, the next sixth-generation (6G) wireless communication ...
Abstract: Soft origami continuum robots show great potential compared with traditional rigid robots because of their hyper-redundant deformation. However, motion control of these robots remains ...
Abstract: Although the problem of determining the minimum cost path through a graph arises naturally in a number of interesting applications, there has been no underlying theory to guide the ...
Abstract: This paper describes the methods employed in the floating-point area of the System/360 Model 91 to exploit the existence of multiple execution units. Basic to these techniques is a simple ...
Abstract: Image fusion can be conducted at different levels, with pixel-level image fusion involving the direct combination of original information from source images. The objective of methods falling ...
Abstract: Training deep reinforcement learning (RL) agents necessitates overcoming the highly unstable nonconvex stochastic optimization inherent in the trial-and ...
Abstract: This paper addresses the critical challenges of dynamic modeling and quantitative assessment of handling stability for autonomous vehicles (AVs). To meet the high safety standards in AVs, ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=3516 ...
Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=34 ...
Abstract: In the fifth-generation (5G) era, eliminating communication interference sources is crucial for maintaining network performance. Interference often originates from unauthorized or ...
Abstract: Using multimodal remote sensing images for change detection (CD) can significantly improve the feasibility and reliability in challenging environments. However, the differences in imaging ...