output
20112019
most citedAerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

94 citations

5 papers

cs.CV2019★ 94 cited

Aerial Images Processing for Car Detection using Convolutional Neural Networks: Comparison between Faster R-CNN and YoloV3

Adel Ammar, Anis Koubaa, Mohanned Ahmed +2

In this paper, we address the problem of car detection from aerial images using Convolutional Neural Networks (CNN). This problem presents additional challenges as compared to car…

eess.SP2019★ 29 cited

Optimising maintenance: What are the expectations for Cyber Physical Systems

Erkki Jantunen, Urko Zurutuza, Luis Lino Ferreira +1

The need for maintenance is based on the wear of components of machinery. If this need can be defined reliably beforehand so that no unpredicted failures take place then the mainte…

cs.DC2016★ 4 cited

A Tighter Real-Time Communication Analysis for Wormhole-Switched Priority-Preemptive NoCs

Borislav Nikolic, Leandro Soares Indrusiak, Stefan M. Petters

Simulations and runtime measurements are some of the methods which can be used to evaluate whether a given NoC-based platform can accommodate application workload and fulfil its ti…

cs.NI2016★ 3 cited

Fair Scheduling for Data Collection in Mobile Sensor Networks with Energy Harvesting

Kai Li, Chau Yuen, Branislav Kusy +4

We consider the problem of data collection from a continental-scale network of energy harvesting sensors, applied to tracking mobile assets in rural environments. Our application c…

cs.OS2011

Global Scheduling of Multi-Mode Real-Time Applications upon Multiprocessor Platforms

Vincent Nelis, Patrick Meumeu Yomsi, Björn Andersson +1

Multi-mode real-time systems are those which support applications with different modes of operation, where each mode is characterized by a specific set of tasks. At run-time, such…