| Pancreatic Cancer Survival Prediction: A Survey of the State‐of‐the‐Art W Bakasa, S Viriri Computational and Mathematical Methods in Medicine 2021 (1), 1188414, 2021 | 20 | 2021 |
| Vgg16 feature extractor with extreme gradient boost classifier for pancreas cancer prediction W Bakasa, S Viriri Journal of Imaging 9 (7), 138, 2023 | 16 | 2023 |
| Stacked ensemble deep learning for pancreas cancer classification using extreme gradient boosting W Bakasa, S Viriri Frontiers in Artificial Intelligence 6, 1232640, 2023 | 6 | 2023 |
| Intelligent automated pancreas segmentation using U-Net model variants W Bakasa, S Viriri International Conference on Computational Collective Intelligence, 606-618, 2023 | 1 | 2023 |
| Reliability in MAC protocols for wireless sensor networks: a survey NN Karekwaivanane, W Bakasa, K Zvarevashe International Journal of Innovative Research in Computer and Communication …, 2014 | 1 | 2014 |
| An analysis on the possibilities of covert transfers between virtual machines clustered in cloud computing: survey W Bakasa, K Zvarevashe, NN Karekwaivanane Int. J. Innovative Res. Comput. Commun. Eng 2 (6), 4701-4707, 2014 | 1 | 2014 |
| Pancreatic cancer survival prediction using Deep learning techniques. W Bakasa University of KwaZulu-Natal, Durban, South Africa, 2023 | | 2023 |
| Light Gradient-Boosting Machine Edge Detection With Cropping Layer for Semantic Segmentation of Pancreas. W Bakasa, S Viriri Adv. Artif. Intell. Mach. Learn. 3 (3), 1274-1294, 2023 | | 2023 |
| Pancreas Instance Segmentation Using Deep Learning Techniques W Bakasa, S Viriri Pan-African Artificial Intelligence and Smart Systems Conference, 205-223, 2022 | | 2022 |
| The Anatomy of Platform as a Service (PaaS) in the Cloud: A Detailed Look into the Challenges K Zvarevashe, NN Karekwaivenane, W Bakasa | | 2013 |
