Mohammed Bahja

Orcid: 0000-0002-2138-1784

According to our database1, Mohammed Bahja authored at least 11 papers between 2016 and 2021.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Characterizing Visual Programming Approaches for End-User Developers: A Systematic Review.
IEEE Access, 2021

2020
COVID19 Led Virtualization: Green Data Center for Information Systems Research.
Inf. Syst. Manag., 2020

Unlink the Link Between COVID-19 and 5G Networks: An NLP and SNA Based Approach.
IEEE Access, 2020

Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach.
Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

A User-Centric Framework for Educational Chatbots Design and Development.
Proceedings of the HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence, 2020

An Antenatal Care Awareness Prototype Chatbot Application Using a User-Centric Design Approach.
Proceedings of the HCI International 2020 - Late Breaking Papers: Multimodality and Intelligence, 2020

Operational Management of Data Centers Energy Efficiency by Dynamic Optimization -Based on a Vector Autoregressive Model- Reinforcement Learning(VAR-RL) Approach.
Proceedings of the 6th Collaborative European Research Conference (CERC 2020), 2020

2019
Optimising e-Government Data Centre Operations to Minimise Energy Consumption: A Simulation-Based Analytical Approach.
Proceedings of the Electronic Government - 18th IFIP WG 8.5 International Conference, 2019

Talk2Learn: A Framework for Chatbot Learning.
Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018
Identifying Patient Experience from Online Resources via Sentiment Analysis and Topic Modelling Approaches.
Proceedings of the International Conference on Information Systems, 2018

2016
Identifying patient experience from online resources via sentiment analysis and topic modelling.
Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, 2016


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