Manar Joundy Hazar

Orcid: 0000-0001-6896-033X

According to our database1, Manar Joundy Hazar authored at least 9 papers between 2020 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Bridging the Maghrebi Dialect Gap: Multi-Dialect Named Entity Recognition for North African Arabic Using Dialect-Aware Active Learning and Cross-Dialectal Transfer.
Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2024
Decoding Multilingual Topic Dynamics and Trend Identification through ARIMA Time Series Analysis on Social Networks: A Novel Data Translation Framework Enhanced by LDA/HDP Models.
J. Electr. Comput. Eng., 2024

Exploring Unsupervised Word Representations Models and Neural Networks for Informal Multilingual Text Against Covid-19 Social Media Content.
Proceedings of the Intelligent Information and Database Systems - 16th Asian Conference, 2024

2023
A Recommendation System Involving a Hybrid Approach of Student Review and Rating for an Educational Video.
J. Braz. Comput. Soc., October, 2023

Proposal of a Modified Hash Algorithm to Increase Blockchain Security.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Deep Bidirectional LSTM Network Learning-Based Sentiment Analysis for Tunisian Dialectical Facebook Content During the Spread of the Coronavirus Pandemic.
Proceedings of the Advances in Computational Collective Intelligence, 2023

Educational Videos Recommendation System Based on Topic Modeling.
Proceedings of the Computational Collective Intelligence - 15th International Conference, 2023

2022
Learner comments-based Recommendation system.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, 2022

2020
Using Received Strength Signal Indication for Indoor Mobile Localization Based on Machine Learning Technique.
Webology, 2020


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