The Smart Measurement of Quality of Service (QoS) for Cloud Computing Platforms-Reference-Cited by-同舟云学术

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The Smart Measurement of Quality of Service (QoS) for Cloud Computing Platforms

Published:2023-12-19 Issue: Volume: Page:1698-1704
ISSN:
Container-title:2023 International Conference on Power Energy, Environment & Intelligent Control (PEEIC)
language:
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Author:

Deepti ¹,Katkar Alok²,Shamout Mohamed Dawood³,Primya T.⁴,Primya T.⁴,Hidayat Wanda Gema Prasadio Akbar⁵

Affiliation:

1. Sloan School of Management, Sloan Fellow Candidate 2023, University - MIT

2. Management College: Tilak Maharashtra Vidyapeeth, Vidyapeeth Bhavan, Gultekdi,Pune

3. College of Business Administration, University of Sharjah,Department of Management,Sharjah,United Arab Emirates

4. Computer Science and Engineering, KPR Institute of Engineering and Technology

5. Universitas Multimedia Nusantara,Department of Management,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450149/10449970/10450415.pdf?arnumber=10450415

Reference15 articles.

1. Segmentation-based linear discriminant analysis with information theoretic feature selection for hyperspectral image classification

2. Fusing spectral and image information for characterization of black tea grade based on hyperspectral technology

3. Unlocking the potential of edge computing for hyperspectral image classification: An efficient low-energy strategy

4. A joint method of spatial–spectral features and BP neural network for hyperspectral image classification

5. Stochastic Neighbor Embedding Feature-Based Hyperspectral Image Classification Using 3D Convolutional Neural Network

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