|
|
|
|
|
Martina Saletta and Claudio Ferretti
Deep neural networks have proven to be able to learn rich internal representations, including for features that can also be used for different purposes than those the networks are originally developed for. In this paper, we are interested in exploring su...
ver más
|
|
|
|
|
|
|
|
|
Christos Tsabaris, Dionisis L. Patiris, Rosalinda Adams, Julian Castillo, Maria F. Henriquez, Caroline Hurtado, Lesley Munoz, Leonidas Kalpaxis, Mariana Verri, Stylianos Alexakis, Filothei K. Pappa and Angelos Lampousis
In recent years, the environmental effects of both active and legacy mining activity have motivated many research groups worldwide through the use of a variety of methods that have been conducted among diverse environments. In this study, we measured rad...
ver más
|
|
|
|
|
|
|
|
|
Ruikui Ma, Qiuqian Wang, Xiangxi Bu and Xuebin Chen
With the development of the Internet of Things, a huge number of devices are connected to the network, network traffic is exhibiting massive and low latency characteristics. At the same time, it is becoming cheaper and cheaper to launch DDoS attacks, and...
ver más
|
|
|
|
|
|
|
|
|
Tianyuan Lu, Lei Wang and Xiaoyong Zhao
With the rapid development of emerging technologies such as self-media, the Internet of Things, and cloud computing, massive data applications are crossing the threshold of the era of real-time analysis and value realization, which makes data streams ubi...
ver más
|
|
|
|
|
|
|
|
|
Nikolaos-Alexandros Perifanis and Fotis Kitsios
Edge?fog computing and IoT have the ability to revolutionize businesses across all sectors and functions, from customer engagement to manufacturing, which is what makes them so fascinating and emerging. On the basis of research methodology by Webster and...
ver más
|
|
|
|