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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
Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization [PDF]
We propose a technique for producing ‘visual explanations’ for decisions from a large class of Convolutional Neural Network (CNN)-based models, making them more transparent and explainable.
Ramprasaath R. Selvaraju +5 more
semanticscholar +1 more source
Computer Aided Verification [PDF]
This open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019.
core +5 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
Artificial Neural Networks for Microwave Computer-Aided Design: The State of the Art
This article presents an overview of artificial neural network (ANN) techniques for a microwave computer-aided design (CAD). ANN-based techniques are becoming useful for performing forward/inverse modeling for active/passive components to enhance a ...
F. Feng +5 more
semanticscholar +1 more source
Genetic regulatory networks have the complex task of controlling all aspects of life. Using a model of gene expression by piecewise linear differential equations we show that this process can be considered as a process of computation. This is demonstrated by showing that this model can simulate memory bounded Turing machines.
Asa Ben-Hur, Hava T. Siegelmann
openaire +4 more sources
Fully convolutional networks for semantic segmentation [PDF]
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-art in semantic segmentation.
Evan Shelhamer +2 more
semanticscholar +1 more source

