Results 11 to 20 of about 2,039,081 (285)
The transportation industry is facing major challenges that come along with innovative trends like autonomous driving. Due to the growing amount of network participants, smart sensors, and mixed-critical data, scalability and interoperability have become
Anna Arestova +3 more
doaj +1 more source
COVID19-Routes: A Safe Pedestrian Navigation Service
COVID-19 has become a global pandemic during 2020 due to its high contagiousness and the high mobility of the world’s population today. In just one year, this virus has caused millions of infections and deaths worldwide.
Ruben Cantarero +5 more
doaj +1 more source
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision [PDF]
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features.
Babu, R. Venkatesh +5 more
core +2 more sources
Joint testing and profiling of microservice-based network services using TTCN-3
The ongoing softwarization of networks creates a big need for automated testing solutions to ensure service quality. This becomes even more important if agile environments with short time to market and high demands, in terms of service performance and ...
Manuel Peuster +3 more
doaj +1 more source
AIT-S for Single-Machine Weighted Tardiness Problem [PDF]
This paper concentrates on the newly improved algorithm for solving the single-machine total weighted tardiness (SMTWT) problem, called Algorithm Inspired by Tree and Sorting (AIT-S).
Kacper Petrynski +3 more
doaj +1 more source
Modeling of Multi-Service Switching Networks With Multicast Connections
This article presents an analytical model of a switching network that can be used in the nodes of a large number of modern multi-service networks. The model of a multi-service three-stage switching network proposed in this article has the advantage of ...
Maciej Stasiak +2 more
doaj +1 more source
Deterministic Small-World Networks [PDF]
Many real life networks, such as the World Wide Web, transportation systems, biological or social networks, achieve both a strong local clustering (nodes have many mutual neighbors) and a small diameter (maximum distance between any two nodes).
Albert +12 more
core +1 more source
Geometric deep learning: going beyond Euclidean data [PDF]
Many scientific fields study data with an underlying structure that is a non-Euclidean space. Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory ...
Bronstein, Michael M. +4 more
core +2 more sources
The paper discusses throughput unfairness inherent in the very nature of mixed data rate Wi-Fi networks employing random media access control technique CSMA/CA.
Alaa Mohammed Abdul-Hadi +4 more
doaj +1 more source
What do we learn from correlations of local and global network properties? [PDF]
In complex networks a common task is to identify the most important or "central" nodes. There are several definitions, often called centrality measures, which often lead to different results.
Albert +42 more
core +2 more sources

