Results 11 to 20 of about 514,554 (290)
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.
Islam, Mohammad Saiful +1 more
core +2 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
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
THIN CLOUD DETECTION METHOD BY LINEAR COMBINATION MODEL OF CLOUD IMAGE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The existing cloud detection methods in photogrammetry often extract the image features from remote sensing images directly, and then use them to classify images into cloud or other things.
L. Liu +5 more
doaj +1 more source
DECISION TREE CLOUD DETECTION ALGORITHM BASED ON FY-4A SATELLITE DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 In order to study the on-board processing technology of meteorological satellites, a decision tree cloud detection algorithm is proposed by taking FY-4A satellite data as an example.
Z. F. Yu, W. H. Ai, Z. H. Tan, W. Yan
doaj +1 more source
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
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
DCDIDP: A distributed, collaborative, and data-driven intrusion detection and prevention framework for cloud computing environments [PDF]
, 2011 With the growing popularity of cloud computing, the exploitation of possible vulnerabilities grows at the same pace; the distributed nature of the cloud makes it an attractive target for potential intruders. Despite security issues delaying its adoption,
Joshi, JBD, Takabi, H, Zargar, ST
core +2 more sources
The Smith Cloud: HI associated with the Sgr dwarf? [PDF]
, 1998 The Smith high velocity cloud (V(LSR) = 98 kms) has been observed at two locations in the emission lines [OIII]5007, [NII]6548 and H-alpha. Both the [NII] and H-alpha profiles show bright cores due to the Reynolds layer, and red wings with emission ...
Bland-Hawthorn, J. +5 more
core +5 more sources