Chukwuebuka Joseph Ejiyi

Orcid: 0000-0001-9139-7223

According to our database1, Chukwuebuka Joseph Ejiyi authored at least 17 papers between 2022 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
A robust framework for clinically interpretable hypothyroidism diagnosis with Polynomial-SHAP and DeepSeqNet.
J. Big Data, December, 2026

Cybersecurity in cyber-physical power systems: analyzing vulnerabilities, threats, and control structures.
Clust. Comput., June, 2026

TFMPHGNN: Two-Fold multi-perspective heterogeneous graph neural network for sentiment analysis.
Neural Networks, 2026

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
A Comprehensive Survey on Deep Graph Representation Learning Methods.
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

A Distributed Diffusion Kalman Filter In Multitask Networks.
CoRR, 2022

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images.
Comput. Biol. Medicine, 2022


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