Shuangshuang Guo

Orcid: 0000-0001-9971-1037

According to our database1, Shuangshuang Guo authored at least 14 papers between 2015 and 2023.

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Bibliography

2023
Promoting Global Higher Education Cooperation: Taking Global MOOC and Online Education Alliance as an Example.
Proceedings of the Post-Covid Prospects for Massive Open Online Courses: 8th European MOOCs Stakeholders Summit, 2023

2021
TBIT: Transformer-based Business Prediction Model Integrating Work Order Textual Contextual Information.
Proceedings of the ICBDT 2021: 4th International Conference on Big Data Technologies, Zibo, China, September 24, 2021

CPACS: Customer Preference-Aware Customer Service Solutions Recommendation.
Proceedings of the ICBDT 2021: 4th International Conference on Big Data Technologies, Zibo, China, September 24, 2021

2020
Power Customer Complaint Prediction Model Based on Time Series Analysis.
Rev. d'Intelligence Artif., 2020

Action prediction via deep residual feature learning and weighted loss.
Multim. Tools Appl., 2020

I-HMM-Based Multidimensional Network Security Risk Assessment.
IEEE Access, 2020

Container Performance Prediction: Challenges and Solutions.
Proceedings of the Communications and Networking, 2020

Virtual Machine Performance Analysis and Prediction.
Proceedings of the International Conference on Communications, 2020

Power Attack and Detection Technology in Data Centers: A Survey.
Proceedings of the International Conference on Communications, 2020

2019
An Improved Assessment Method for the Network Security Risk.
Proceedings of the Smart Computing and Communication - 4th International Conference, 2019

Data quality improvement method based on data correlation for power Internet of Things.
Proceedings of the 12th International Symposium on Computational Intelligence and Design, 2019

2018
Deep Residual Feature Learning for Action Prediction.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

2016
一种改进的图像相似度算法 (Improved Image Similarity Algorithm).
计算机科学, 2016

2015
Combining Fine-Grained Analysis and Scheduling to Smooth Response Time Fluctuations in Multi-tier Services.
Proceedings of the 2015 IEEE International Conference on Services Computing, 2015


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