 | Up a level |
Mulenga, Mwenge and Rajamanikam, Arutchelvan and Kumar, Suresh and Muhammad, Saharuddin bin and Bhassu, Subha and Samudid, Chandramathi and Sabri, Aznul Qalid Md and Seera, Manjeevan and Eke, Christopher Ifeanyi (2025) Revolutionizing colorectal cancer detection: A breakthrough in microbiome data analysis. PLoS ONE, 20 (1). ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0316493.
Alhazmi, Ali and Mahmud, Rohana and Idris, Norisma and Abo, Mohamed Elhag Mohamed and Eke, Christopher Ifeanyi (2024) Code-mixing unveiled: Enhancing the hate speech detection in Arabic dialect tweets using machine learning models. PLoS ONE, 19 (7). e0305657. ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0305657.
Buddha, Hareesh and Shuib, Liyana and Idris, Norisma and Eke, Christopher Ifeanyi (2024) Technology-Assisted Language Learning Systems: A Systematic Literature Review. IEEE Access, 12. pp. 33449-33472. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2024.3366663.
Sabri, Shima and Gani, Abdullah and Yadegaridehkordi, Elaheh and Eke, Christopher Ifeanyi and Mohd Shuib, Nor Liyana (2022) A survey on mobile learning for adult learners: State-of-the-art, taxonomy, and challenges. IEEE Access, 10. pp. 83884-83897. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2022.3195285.
Eke, Christopher Ifeanyi and Norman, Azah Anir and Shuib, Liyana (2021) Multi-feature fusion framework for sarcasm identification on twitter data: A machine learning based approach. PLoS ONE, 16 (6). ISSN 1932-6203, DOI https://doi.org/10.1371/journal.pone.0252918.
Eke, Christopher Ifeanyi and Norman, Azah Anir and Shuib, Liyana (2021) Context-based feature technique for sarcasm identification in benchmark datasets using deep learning and bert model. IEEE Access, 9. pp. 48501-48518. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3068323.
