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Christopher Ifeanyi Eke
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2020 – today
- 2024
- [j12]Hareesh Buddha, Liyana Shuib, Norisma Idris, Christopher Ifeanyi Eke:
Technology-Assisted Language Learning Systems: A Systematic Literature Review. IEEE Access 12: 33449-33472 (2024) - [j11]Kholoud Maswadi, Ali Alhazmi, Faisal Alshanketi, Christopher Ifeanyi Eke:
The empirical study of tweet classification system for disaster response using shallow and deep learning models. J. Ambient Intell. Humaniz. Comput. 15(9): 3303-3316 (2024) - [j10]Ahmad Sami Al-Shamayleh, Omar Adwan, Mohammad Abdallah Alsharaiah, AbdelRahman H. Hussein, Qasem M. Kharma, Christopher Ifeanyi Eke:
A comprehensive literature review on image captioning methods and metrics based on deep learning technique. Multim. Tools Appl. 83(12): 34219-34268 (2024) - [j9]Ali Alhazmi, Rohana Mahmud, Norisma Idris, Mohamed Elhag Mohamed Abo, Christopher Ifeanyi Eke:
A systematic literature review of hate speech identification on Arabic Twitter data: research challenges and future directions. PeerJ Comput. Sci. 10: e1966 (2024) - [c2]Dekera Kenneth Kwaghtyo, Christopher Ifeanyi Eke, Joshua Abah, Timothy Moses, Jeffrey O. Agushaka, B. Fatokun Faith:
Soil and Climate Parameters Based Crop Recommendation Model for Yandev, Gboko Local Government Area of Benue State. IMCOM 2024: 1-7 - 2023
- [j8]Dekera Kenneth Kwaghtyo, Christopher Ifeanyi Eke:
Smart farming prediction models for precision agriculture: a comprehensive survey. Artif. Intell. Rev. 56(6): 5729-5772 (2023) - [j7]Christopher Ifeanyi Eke, Azah Anir Norman, Mwenge Mulenga:
Machine learning approach for detecting and combating bring your own device (BYOD) security threats and attacks: a systematic mapping review. Artif. Intell. Rev. 56(8): 8815-8858 (2023) - 2022
- [j6]Shima Sabri, Abdullah Gani, Elaheh Yadegaridehkordi, Christopher Ifeanyi Eke, Liyana Shuib:
A Survey on Mobile Learning for Adult Learners: State-of-the-Art, Taxonomy, and Challenges. IEEE Access 10: 83884-83897 (2022) - [j5]Absalom E. Ezugwu, Abiodun M. Ikotun, Olaide Nathaniel Oyelade, Laith Mohammad Abualigah, Jeffrey O. Agushaka, Christopher Ifeanyi Eke, Andronicus Ayobami Akinyelu:
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Eng. Appl. Artif. Intell. 110: 104743 (2022) - [c1]B. Fatokun Faith, Zalizah Awang Long, Suraya Hamid, O. Fatokun Johnson, Christopher Ifeanyi Eke, Azah Anir Norman:
An Intelligent Gamification Tool to Boost Young Kids Cybersecurity Knowledge on FB Messenger. IMCOM 2022: 1-8 - 2021
- [j4]Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib:
Context-Based Feature Technique for Sarcasm Identification in Benchmark Datasets Using Deep Learning and BERT Model. IEEE Access 9: 48501-48518 (2021) - 2020
- [j3]Aimi Nadrah Maseri, Azah Anir Norman, Christopher Ifeanyi Eke, Atif Ahmad, Nurul Nuha Abdul Molok:
Socio-Technical Mitigation Effort to Combat Cyber Propaganda: A Systematic Literature Mapping. IEEE Access 8: 92929-92944 (2020) - [j2]Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib, Henry Friday Nweke:
Sarcasm identification in textual data: systematic review, research challenges and open directions. Artif. Intell. Rev. 53(6): 4215-4258 (2020)
2010 – 2019
- 2019
- [j1]Christopher Ifeanyi Eke, Azah Anir Norman, Liyana Shuib, Henry Friday Nweke:
A Survey of User Profiling: State-of-the-Art, Challenges, and Solutions. IEEE Access 7: 144907-144924 (2019)
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last updated on 2024-10-07 21:18 CEST by the dblp team
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