Over the past decade, it has been demonstrated that the In-Vehicle Network (IVN) of a modern Intelligent Transportation System (ITS) is vulnerable to several cyberattacks. Given the collaborative ...

Directly learning the swimming behaviors of real fish can significantly enhance the swimming performance of bionic robotic fish. This paper presents a novel transfer learning method based on a dynamic ...

The median and/or paired fin (MPF) propulsion mode underwater robot has gradually gained increasing attention due to its strong stability and load capacity. This article focuses on the dynamic ...

Recently, deep learning methods have gained remarkable achievements in the field of image restoration for remote sensing (RS). However, most existing RS image restoration methods focus mainly on ...

This brief focuses on the adaptive control with fast convergence performance for robot manipulators with unknown measurement powers and quantized states. Since there are some uncertain factors in the ...

In this study, we study the equilibrium strategy of a Pareto cooperative differential game with a continuous-time linear positive system in the infinite time domain and a quadratic performance index.

The recent development of various methods of modulation such as PCM and PPM which exchange bandwidth for signal-to-noise ratio has intensified the interest in a general theory of communication. A ...

This monograph is the first survey of neural approaches to conversational AI that targets Natural Language Processing and Information Retrieval audiences. It provides a comprehensive survey of the ...

Power generation scheduling involves the selection of units to be placed in operation and the allocation of the load between these operating units. This paper presents the formulation of the economic ...

Integrating artificial intelligence (AI) has the potential to significantly advance digital twin (DT) technologies by enhancing data analytics, predictive modeling, and real-time decision-making ...

Holograms synthesized by computer are used for constructing optical wavefronts from numerically specified objects. Elimination of the need for a physical object has made new applications possible, for ...

The statistical performance of pulsed optical radars that use energy detection is considered. While the signal photoelectron statistics produced by a return from a specular target are Poisson, those ...