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Adaptive scaling of Kubernetes pods

NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium, 2020
Scalability is the ability of a resource or an application to be expanded to handle the increasing demands. One of the most emphasized aspects of cloud computing is the ability of scaling up or down. Scaling can be performed by either an operator or automatically.
David Balla   +2 more
openaire   +1 more source

Intercultural Scale Adaptation Stages, Language and Culture Adaptation: Updated Guideline

Florence Nightingale Hemşirelik Dergisi, 2018
The fact that many of the scales developed in English are translated requires much analysis in order to ensure equality of the scale in terms of culture and language. This assessment gains more importance with increasing language and cultural differences
C. Çapik, S. Gözüm, S. Aksayan
semanticscholar   +1 more source

Robust occlusion-aware part-based visual tracking with object scale adaptation

Pattern Recognition, 2018
Visual tracking is still a challenging task as the objects suffer significant appearance changes, fast motion, and serious occlusion. In this paper, we propose an occlusion-aware part-based tracker for robust visual tracking.
Xin Wang   +5 more
semanticscholar   +1 more source

Scale Adaptation of Incivility at Organizations

Alanya Akademik Bakış
Incivility and its influences on organizational behavior have been subject of growing number of studies for meeting the need to build healthy workplaces.
Hakan Yılmaz
semanticscholar   +1 more source

Scale Adaptive Filters

2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2015
Image features vary in size and thus feature analysis often requires a multi-scale approach. Typically, this is achieved using a bank of filters centred at discrete scales. We introduce a novel filter bank constructed from Fourier series basis functions in the logarithmic frequency domain.
openaire   +1 more source

Scale-adaptive orientation estimation

Object recognition supported by user interaction for service robots, 2003
This paper focuses on directional textures. It provides a new framework for the design of convolution masks dedicated to orientation estimation and an adaptive algorithm which chooses the best mask size for each pixel. The design of the adaptive algorithm is based on the combination of two complementary operators: a gradient based operator which is ...
Franck Le Pouliquen   +2 more
openaire   +2 more sources

Kernel Online Learning Algorithm With Scale Adaptation

IEEE Transactions on Circuits and Systems - II - Express Briefs, 2018
Kernel adaptive filtering is implemented by evaluating the inner product between the kernel function-based vector and the coefficient vector. In this brief, the coefficient vector is decomposed into the direction vector and the scale, which are updated ...
Shiyuan Wang   +5 more
semanticscholar   +1 more source

Risk of Bias Evaluation of Cross-Sectional Studies: Adaptation of the Newcastle-Ottawa Scale.

Journal of Periodontal Research
Cross-sectional studies are widely utilized in medical research to estimate prevalence and examine associations. As such, they can serve as a significant source of data for systematic reviews.
M.C. Carra   +2 more
semanticscholar   +1 more source

The vocational adaptation rating scales

Applied Research in Mental Retardation, 1982
The Vocational Adaptation Rating Scales (VARS) were developed to provide a comprehensive assessment of maladaptive social behavior related to vocational success, but not directly measuring job performance of mentally retarded workers. Psychometric information derived from the VARS is useful for developing individualized educational plans (IEPs) for ...
R G, Malgady, P R, Barcher
openaire   +2 more sources

Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations

Information Sciences, 2020
Despite the recent development in evolutionary multi- and many-objective optimization, the problems with large-scale decision variables still remain challenging.
Huangke Chen   +4 more
semanticscholar   +1 more source

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