Hua Ma

Orcid: 0000-0002-1980-4709

Affiliations:
  • Hunan Normal University, Department of Computer, Changsha, China
  • Central South University, School of Software, Changsha, China
  • Nipissing University, Collaborative Systems Laboratory, North Bay, ON, Canada


According to our database1, Hua Ma authored at least 23 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Collaborative Optimization of Learning Team Formation Based on Multidimensional Characteristics and Constraints Modeling: A Team Leader-Centered Approach via E-CARGO.
IEEE Trans. Comput. Soc. Syst., February, 2024

2023
Predicting examinee performance based on a fuzzy cloud cognitive diagnosis framework in e-learning environment.
Soft Comput., December, 2023

Predicting Student Performance in Future Exams via Neutrosophic Cognitive Diagnosis in Personalized E-Learning Environment.
IEEE Trans. Learn. Technol., October, 2023

Learning resource recommendation via knowledge graphs and learning style clustering.
J. Intell. Fuzzy Syst., 2023

A Multi-level Approach to Learning Early Warning based on Cognitive Diagnosis and Learning Behaviors Analysis.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
Cloud service recommendation for small and medium-sized enterprises: A context-aware group decision making approach.
J. Intell. Fuzzy Syst., 2022

Exercise Recommendation Based on Cognitive Diagnosis and Neutrosophic Set.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Hybrid Recommendation of Personalized MOOC Resources: A User Context-aware Approach.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Collaborative Prediction of Examinee Performance based on Fuzzy Cognitive Diagnosis via cloud model.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

2021
Resource Utilization-Aware Collaborative Optimization of IaaS Cloud Service Composition for Data-Intensive Applications.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Variation-Aware Cloud Service Selection via Collaborative QoS Prediction.
IEEE Trans. Serv. Comput., 2021

2019
Collaborative Optimization of Service Composition for Data-Intensive Applications in a Hybrid Cloud.
IEEE Trans. Parallel Distributed Syst., 2019

2018
A simulation system for flexible transit services based on E-CARGO.
Proceedings of the 15th IEEE International Conference on Networking, Sensing and Control, 2018

Acquire the Preferred Position in a Team.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

Optimization of Cloud Service Composition for Data-intensive Applications via E-CARGO.
Proceedings of the 22nd IEEE International Conference on Computer Supported Cooperative Work in Design, 2018

2017
Time-aware trustworthiness ranking prediction for cloud services using interval neutrosophic set and ELECTRE.
Knowl. Based Syst., 2017

Multi-valued collaborative QoS prediction for cloud service via time series analysis.
Future Gener. Comput. Syst., 2017

A Novel Recommendation Service Method Based on Cloud Model and User Personality.
Proceedings of the Data Science, 2017

2016
Toward trustworthy cloud service selection: A time-aware approach using interval neutrosophic set.
J. Parallel Distributed Comput., 2016

2015
Recommend trustworthy services using interval numbers of four parameters via cloud model for potential users.
Frontiers Comput. Sci., 2015

2014
User feature-aware trustworthiness measurement of cloud services via evidence synthesis for potential users.
J. Vis. Lang. Comput., 2014

Cloud service recommendation based on trust measurement using ternary interval numbers.
Proceedings of the International Conference on Smart Computing, 2014

User Features-aware Trust Measurement of Cloud Services via Evidence Synthesis for Potential Users.
Proceedings of the 20th International Conference on Distributed Multimedia Systems: Research papers on distributed multimedia systems, 2014


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