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: 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: A resonant converter is a type of electric power converter that contains a network of inductors and capacitors called a "resonant tank", tuned to resonate at a specific frequency. They find ...

Abstract: This extensively revised edition of the bestselling Artech House book, RF Power Amplifiers for Wireless Communications, offers you a comprehensive, practical, and up-to-date understanding of ...

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: Multi-modality fusion strategy is currently the de-facto most competitive solution for 3D perception tasks. In this work, we present a new framework termed BEVFormer, which learns unified ...

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: The extraction of large-scale farmland is essential for optimizing agricultural production and advancing sustainable development. To meet the urgent need for efficient farmland extraction ...

Abstract: We study the transmission properties of a guide consisting of a dielectric rod with rectangular cross section, surrounded by several dielectrics of smaller refractive indices. This guide is ...

Abstract: Training deep reinforcement learning (RL) agents necessitates overcoming the highly unstable nonconvex stochastic optimization inherent in the trial-and ...

Abstract: This article proposes a hierarchical control and learning (HCL) network to implement multitask hierarchical control and physical parameter estimation for the redundant manipulator. This ...

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, ...