Chukwuebuka Joseph Ejiyi
Orcid: 0000-0001-9139-7223
According to our database1,
Chukwuebuka Joseph Ejiyi
authored at least 14 papers
between 2022 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends.
J. Big Data, December, 2025
Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis.
J. Big Data, December, 2025
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet.
Comput. Biol. Medicine, 2025
ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus.
Comput. Biol. Medicine, 2025
Multi-modality medical image classification with ResoMergeNet for cataract, lung cancer, and breast cancer diagnosis.
Comput. Biol. Medicine, 2025
2024
Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus images.
Prog. Artif. Intell., December, 2024
MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation.
Comput. Biol. Medicine, 2024
Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models.
Comput. Biol. Medicine, 2024
2023
J. Artif. Intell. Res., 2023
Synthetic Aperture Radar Automatic Target Recognition Based on a Simple Attention Mechanism.
Int. J. Interact. Multim. Artif. Intell., 2023
Attention Based BiGRU-2DCNN with Hunger Game Search Technique for Low-Resource Document-Level Sentiment Classification.
Proceedings of the 5th International Conference on Image Processing and Machine Vision, 2023
2022
Comparative Analysis of Building Insurance Prediction Using Some Machine Learning Algorithms.
Int. J. Interact. Multim. Artif. Intell., 2022
LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.
Comput. Biol. Medicine, 2022