Journal of Computational Science and Data Analytics

About the Journal

The Journal of Computational Science and Data Analytics focuses on cutting-edge, interdisciplinary research where complex multi-scale, multi-domain problems in science and engineering are tackled. It integrates interdisciplinary fields including artificial as well as computational intelligence, computation and mathematical approaches and data analytics. In essence, this journal serves as a platform for innovative work that bridges the gap between computational and data science and other fields.

The journal is published under the Addis Ababa Science and technology press with ISSN : 2959-6912.

Current Issue

Vol. 1 No. 02 (2024): Special issue of STII2024 conference

Selected paper published as a special issue from the AASTU annual conference (STII2024) of 2024.

Published: 2024-12-30

Special issue: Proceeding of STII2024

Predictive Machine Learning Model for Low Birth Weight in Newborns

Serkalem Negusse Kassaye, Abebe Alemu Balcha, Kula Kakeba, Samuel Alemu

1-19
- pdf
Human Activity recognition using machine learning

Rediet Desalegn, Hana Mekonen, Melkamu Hunegnaw

20-33
- pdf
Improving Data Security in Cloud Storage Systems Using Hybrid Algorithms with Integrity Verification

Erku Kifle Dessie , Asrat Mulatu Beyene

34-58
- pdf
Hate Speech Detection from Transliterated Amharic Social Media Comments Using Machine Learning and Deep Learning Approaches

Zeleke Abebaw, Andreas Rauber , Solomon Atnafu

59-75
- pdf
A Multi-modal Fusion Technique to Combine Manual and Non-Manual Cues for Amharic Sign Language Recognition: A Systematic Literature Review

Isayas Feyera, Solomon Teferra, Asrat Mulatu Beyen

76-95
- pdf

View All Issues

About the Journal

Current Issue

Special issue: Proceeding of STII2024

Predictive Machine Learning Model for Low Birth Weight in Newborns

Human Activity recognition using machine learning

Improving Data Security in Cloud Storage Systems Using Hybrid Algorithms with Integrity Verification

Hate Speech Detection from Transliterated Amharic Social Media Comments Using Machine Learning and Deep Learning Approaches

A Multi-modal Fusion Technique to Combine Manual and Non-Manual Cues for Amharic Sign Language Recognition: A Systematic Literature Review

Current Issue

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