Irene Nandutu

Nicole Oyetunji

Subject: Applied mathematics

Avuya Deyi

Selected Publications

• M Atemkeng, S Perkins, E Seck, S Makhathini, O Smirnov, L Bester, B Hugo. Lossy Compression of Large-Scale Radio Interferometric Data. https://arxiv.org/abs/2304.07050,Under Review in Monthly Notices of the Royal Astronomical Society
• M Atemkeng , V Osanyindoro, R Rockefeller, S Hamlomo, J Mulongo, T Ansah-Narh, F Tchakounte, A  Fadja. Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants. https://arxiv.org/abs/2302.02896. Under review in Applied Artificial Intelligence
• Brima Y, Atemkeng M. What do Deep Neural Networks Learn in Medical Images?. arXiv preprint arXiv:2208.00953. Under review in BioData Mining
• Varmantchaonala C., Fendji JL, Atemkeng M. Polarized Quantum Genetic Algorithm. Under Review in Expert Systems With Applications
• Nandutu I, Atemkeng M, Okouma P, Mgqatsa N, Fendji JL, Tchakounte F. Creating awareness about security and safety on highways to mitigate wildlife-vehicle collisions by detecting and recognizing wildlife fences using deep learning and drone technology. arXiv preprint arXiv:2301.07174. Under revision in Applied Artificial Intelligence
• Tchokogoué T., Vigny Noumsi,  Atemkeng M, Yimga Fonkou, and Aimé Fono. A Reliable Segmentation Method Using a Combination of Normalized Vegetation Index for the Diagnosis of Corn-Plant Phytosanitary State in the Field, Under Revision in Journal of Intelligent Systems
• Atemkeng, M., & Jimoh, T. (2023). Anomaly Detection in Power Generation Plants with Generative Adversarial Networks. In 2023 IEEE International Conference on Electrical, Computer and Energy Technologies (ICECET). IEEE
• Siphendulwe, Z., Atemkeng, M., & Hamlomo, S. (2023). Wine features importance and quality prediction: A comparative study of machine learning algorithms with unbalanced data. In 2023 Springer International Conference on Safe, Secure, Ethical, Responsible Technologies and Emerging Applications (SAFER-TEA). Springer.
• Tasse, C., Hugo, B., Mirmont, M., Smirnov, O., Atemkeng, M., Bester, L., ... & Shimwell, T. (2023). DDFacet: Facet-based radio imaging package. Astrophysics Source Code Library, ascl-2305.
• Nzeket Njoya, A., Tchaya Ngongag, V., Tchakount ́e, F., Atemkeng, M., & Fachkha, C., (2023). Characterizing Mobile Money Phishing Using Reinforcement Learning. IEEE Access (in press).
• Deyi, A., Fadja, A. N., Goosen, E., Noundou, X. S., & Atemkeng, M. (2023). A benchmark dataset of selected medicinal plant species of the genus Brachylaena: A comparative application of deep learning models for plant leaf recognition. Journal of Computer Science (in press).
• Tchakount ́e, F., Manfouo, R. E., Ebongue, J. L. & Atemkeng, M. (2023). SVDroid: Singular Value Decomposition with CNN for Android Malware Classification. Journal of Computing and Digital Systems, 14(1), 1-1. 
• Varmantchaonala Moudina C, Fendji Kedieng Ebongue JL, Tchapet Njafa JP, Atemkeng M. (2023). Quantum Hybrid Algorithm for Solving SAT Problem. https://doi.org/10.1016/j.engappai.2023.106058,  Engineering Applications of Artificial Intelligence
• Atemkeng, M.; Okouma, P.; Maina, E.; Ianjamasimanana, R.; Zambou, S. Radio Astronomical Antennas in the Central African Region to Improve the Sampling Function of the VLBI Network in the SKA Era? Sensors 2022, 22, 8466.
• Fendji, J.L.K.E., Tala, D.C., Yenke, B.O. and Atemkeng, M., 2022. Automatic Speech Recognition using limited vocabulary: A survey. Applied Artificial Intelligence, 36(1), p.2095039.
• Nandutu, I.; Atemkeng, M.; Mgqatsa, N.; Toadoum Sari, S.; Okouma, P.; Rockefeller, R.; Ansah-Narh, T.; Ebongue Kedieng Fendji, J.L.; Tchakounte, F. Error Correction Based Deep Neural Networks for Modeling and Predicting South African Wildlife–Vehicle Collision Data. Mathematics 2022, 10, 3988.
• Ianjamasimanana, R., Koribalski, B.S., Józsa, G.I., Kamphuis, P., de Blok, W.J.G., Kleiner, D., Namumba, B., Carignan, C., Dettmar, R.J., Serra, P. and Smirnov, O.M., 2022. The extended H i halo of NGC 4945 as seen by MeerKAT. Monthly Notices of the Royal Astronomical Society, 513(2), pp.2019-2038.
• Nandutu, I.; Atemkeng, M.; Okouma, P. Intelligent Systems Using Sensors and/or Machine Learning to Mitigate Wildlife–Vehicle Collisions: A Review, Challenges, and New Perspectives. Sensors 2022, 22, 2478.
• Nandutu, I., Atemkeng, M., & Okouma, P. (2021). Integrating AI ethics in wildlife conservation AI systems in South Africa: a review, challenges, and future research agenda. AI & SOCIETY, 1-13.
• Brima, Y., Atemkeng, M., Tankio Djiokap, S., Ebiele, J., & Tchakounté, F. (2021). Transfer Learning for the Detection and Diagnosis of Types of Pneumonia including Pneumonia Induced by COVID-19 from Chest X-ray Images. Diagnostics, 11(8), 1480.
•  Nguegnang, G. M., Atemkeng, M., Ansah-Narh, T., Rockefeller, R.,Mulongo, J., & Garuti, M. A. (2021). Predicting fuel consumption in power generation plants using machine learning and neural networks. IEEE International Conference on Electrical, Computer and Energy Technologies (ICECET) Cape Town-South Africa, 9-10 December 2021.
• Fendji, J. L. E. K., Taira, D. M., Atemkeng, M., & Ali, A. M. (2021). WATS-SMS: A T5-Based French Wikipedia Abstractive Text Summarizer for SMS. Future Internet, 13(9), 238.
• Atemkeng, M.,  Perkins,  S., Kenyon, J., Hugo, B. and Oleg Smirnov (2021).  Xova: Baseline-Dependent Time and Channel Averaging for Radio Interferometry, Proceedings of the Astronomical Data Analysis Software and Systems (ADASS) conference, Spain.
• Atemkeng, M., Smirnov, O., Tasse, C., Foster, G., & Makhathini, S. (2020). Fast algorithms to approximate the position-dependent point spread function responses in radio interferometric wide-field imaging. Monthly Notices of the Royal Astronomical Society.
• Fountsop, A. N., Ebongue Kedieng Fendji, J. L., & Atemkeng, M. (2020). Deep Learning Models Compression for Agricultural Plants. Applied Sciences, 10(19), 6866.
• Tchakounté F, Pagore AE, Kamgang JC, Atemkeng M. (2020). CIAA-RepDroid: A Fine-Grained and Probabilistic Reputation Scheme for Android Apps based on Sentiment Analysis of Reviews. Future Internet, 12(9), 145.
• Ebiele F, Ansah-Narh T, Djiokap S, Proven-Adzri E, Atemkeng M. (2020). Conventional Machine Learning based on Feature Engineering for Detecting Pneumonia from Chest X-rays. ACM Annual Conference of the South African Institute of Computer Scientists and Information Technologists, Cape Town Sep 14, 2020.
• Tchakounté, F., Faissal, A., Atemkeng, M., & Ntyam, A. (2020). A Reliable Weighting Scheme for the Aggregation of Crowd Intelligence to Detect Fake News. Information, 11(6), 319.
• Cotton, W.D., Thorat, K., Condon, J.J., Frank, B.S., Józsa, G.I.G., White, S.V., Deane, R., Oozeer, N., Atemkeng, M., Bester, L. and Fanaroff, B. (2020). Hydrodynamical backflow in X-shaped radio galaxy PKS 2014− 55. Monthly Notices of the Royal Astronomical Society, 495(1), pp.1271-1283.
• Mulongo, J., Atemkeng, M., Ansah-Narh, T., Rockefeller, R., Nguegnang, G. M., & Garuti, M. A. (2020). Anomaly Detection in Power Generation Plants Using Machine Learning and Neural Networks. Applied Artificial Intelligence, 34(1), 64-79.