Transparency is a widely used but poorly defined term within the explainable artificial intelligence literature.This is due,in part,to the lack of an agreed def
Cognitive Computing breaks the boundary between two separate fields,neuroscience and computer science.It paves the way for machines to have reasoning abilities
This paper investigates the distributed model predictive control(MPC)problem of linear systems where the network topology is changeable by the way of inserting
The driver’s cognitive and physiological states affect his/her ability to control the vehicle.Thus,these driver states are essential to the safety of automobil
Accurate estimation of the remaining useful life(RUL)and health state for rollers is of great significance to hot rolling production.It can provide decision sup
In this paper, we develop a novel global-attentionbased neural network(GANN) for vision language intelligence,specifically, image captioning(language description of a given image). As many previous wo
The tradeoff between efficiency and model size of the convolutional neural network(CNN) is an essential issue for applications of CNN-based algorithms to diverse real-world tasks.Although deep learnin