Results 11 to 20 of about 3,562,158 (309)
Cloud business models and sustainability: impacts for businesses and e-research [PDF]
, 2010 This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models.
De Roure, David +5 more
core +5 more sources
Anomaly Detection in Cloud Components [PDF]
2020 IEEE 13th International Conference on Cloud Computing (CLOUD), 2020 Cloud platforms, under the hood, consist of a complex inter-connected stack of hardware and software components. Each of these components can fail which may lead to an outage. Our goal is to improve the quality of Cloud services through early detection of such failures by analyzing resource utilization metrics.
Mohammad Saiful Islam +1 more
openaire +3 more sources
Distributed boosting for cloud detection [PDF]
2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2016 The SPOT 6–7 satellite ground segment includes a systematic and automatic cloud detection step in order to feed a catalogue with a binary cloud mask and an appropriate confidence measure. In order to significantly improve the SPOT cloud detection and get rid of frequent manual re-labelings, we study a new automatic cloud detection technique that is ...
Matthieu Le Goff +4 more
openaire +2 more sources
Remote Sensing, 2021 Clouds constitute a major obstacle to the application of optical remote-sensing images as they destroy the continuity of the ground information in the images and reduce their utilization rate.
Xiaolong Li +6 more
doaj +1 more source
CLOUD DETECTION BY FUSING MULTI-SCALE CONVOLUTIONAL FEATURES [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Clouds detection is an important pre-processing step for accurate application of optical satellite imagery. Recent studies indicate that deep learning achieves best performance in image segmentation tasks.
Z. Li +6 more
doaj +1 more source
Deep Learning for Cloud Detection [PDF]
8th International Conference of Pattern Recognition Systems (ICPRS 2017), 2017 The SPOT 6-7 satellite ground segment includes a systematic and automatic cloud detection step in order to feed a catalogue with a binary cloud mask and an appropriate confidence measure. However, current approaches for cloud detection, that are mostly based on machine learning and hand crafted features, have shown lack of robustness.
Le Goff, Matthieu +4 more
openaire +2 more sources
CDUNet: Cloud Detection UNet for Remote Sensing Imagery
Remote Sensing, 2021 Cloud detection is a key step in the preprocessing of optical satellite remote sensing images. In the existing literature, cloud detection methods are roughly divided into threshold methods and deep-learning methods.
Kai Hu, Dongsheng Zhang, Min Xia
doaj +1 more source
Cloud cover : monitoring large-scale clouds with Varanus [PDF]
, 2015 This research was supported by a Royal Society Industry Fellowship and an Amazon Web Services (AWS) grant.Cloud computing has quickly become the de facto means to deploy large scale systems in a robust and cost effective manner.
Barker, Adam David +3 more
core +1 more source
Anomaly Detection in Cloud-Native Systems
2022 48th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 2022 Abstract Companies develop cloud-native systems deployed on public and private clouds. Since private clouds have limited resources, the systems should run efficiently by keeping performance related anomalies under control. The goal of this work is to understand whether a set of five performance-related KPIs depends on the metrics collected at runtime ...
Francesco Lomio +3 more
openaire +3 more sources
A robust ragged cloud detection algorithm for remote sensing image
The Journal of Engineering, 2019 Cloud detection plays a significant role in remote sensing (RS) image processing. Numbers of cloud detection algorithms have been developed in the literature.
Li Zhen +4 more
doaj +1 more source