Abstract Reservoir computing (RC) offers efficient temporal data processing with a low training cost by separating recurrent neural networks into fixed network connections and trainable linear network. The quality of the network, called reservoir, is most important factor that determines performance RC system. In this paper, we investigate influence hierarchical reservoir structure on propertie...

Fog Computing provides a myriad of potential societal benefits: personalised healthcare, smart cities, automated vehicles, Industry 4.0, to name just few. The highly dynamic and complex nature with its low latency communication networks connecting sensors, devices actuators facilitates ambient computing at scales previously unimaginable. combination Machine Learning, Data Mining, the Internet T...

An exploding demand for processing capabilities related to the emergence of Internet Things (IoT), Artificial Intelligence (AI), and big data, has led quest increasingly efficient ways expeditiously process rapidly increasing amount data. These include different approaches like improved devices capable going further in more Moore path but also new architectures beyond getting than Moore. Among ...

the first geometric-arithmetic index was introduced in the chemical theory as the summationof 2 du dv /(du  dv ) overall edges of the graph, where du stand for the degree of the vertexu. in this paper we give the expressions for computing the first geometric-arithmetic index ofhexagonal systems and phenylenes and present new method for describing hexagonal systemby corresponding a simple graph...

in order to improve the level of intelligence, availability, being on demand, convenience, information and humanization of rural public transportation systems, they are more willing to use modern information and communicative technologies. in addition to management services, intelligent transportation systems can provide passengers, drivers, travel agencies and other institutions with other ser...