Conducting a Systematic Literature Review (SLR) in Data Science & Computer Science for Scopus Publication
Conducting a Systematic Literature Review (SLR) in Data Science and Computer Science for Scopus publication involves a meticulous process of collecting, evaluating, and synthesizing existing research. It starts with defining clear research questions, followed by a comprehensive search of databases to gather relevant studies. The inclusion and exclusion criteria are rigorously applied to ensure the review’s focus. The selected literature is then critically appraised for quality and relevance. Finally, the findings are synthesized to highlight trends, gaps, and opportunities for future research, ensuring the SLR’s contribution to the academic community is robust and valuable
| No. | Group Name | Title | File |
|---|---|---|---|
| 1 | Data Digester | A Systematic Literature Review of Data Science Techniques, Applications, and Tools: A Comprehensive Analysis |  |
| 2 | Group 2 | A Systematic Review of Machine Translation Performance for Low-Resourced and Under-Resourced Languages | |
| 3 | Connected Cities | Assessment of LoRa Technology in Enhancing Agricultural Productivity in Rural Malaysia | |
| 4 | Exploring Deep Learning Techniques | Exploring the Evolution of Deep Learning Techniques: A Systematic Literature Riview | |
| 5 | Group 5 | Identification of learning styles using an enhanced Machine learning algorithm: A systematic Literature review | |
| 6 | Group 6 | Systematic Literature Review on Smart Living Technologies in Smart Villages | |
📈 Marks for the Systematic Literature Review assignment
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