Chukwuebuka Joseph Ejiyi

Chengdu University of Information Technology — China

Computer Science · Physical Sciences

16h-index818citations57works7.82yr avg
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Research Topics

AI in cancer detection(13), COVID-19 diagnosis using AI(13), Energy Load and Power Forecasting(8), Solar Radiation and Photovoltaics(8), Advanced Neural Network Applications(6)

Publications57 total

Socio-economic implications of deploying COP28 pledged negative emission technologies
Carbon Capture Science & Technology·2026Open Access
Cybersecurity in cyber-physical power systems: analyzing vulnerabilities, threats, and control structures
Cluster Computing·2026Open Access
A Review of Artificial Intelligence Techniques for Low-Carbon Energy Integration and Optimization in Smart Grids and Smart Homes
Processes·2026Open Access
Attention residual network with multi-scale convolution branch for efficient solar photovoltaic module defect classification
Solar Energy·2026
SolarSynthNet (SSN): A deep learning framework for binary and multiclass classification of damaged or obstructed solar panels using images
Renewable Energy·2025· 2 cited
Comprehensive review of artificial intelligence applications in renewable energy systems: current implementations and emerging trends
Journal Of Big Data·2025· 25 citedOpen Access
MEN: leveraging explainable multimodal encoding network for precision prediction of CYP450 inhibitors
Scientific Reports·2025· 1 citedOpen Access
A multimodal deep learning approach for very short-term solar forecasts using sky images and historical numerical data
Renewable Energy·2025· 7 cited
Attention-augmented and depthwise separable convolutional message passing for robust fraud detection in large-scale graphs
Journal of Advanced Research·2025· 1 citedOpen Access
Polynomial-SHAP as a SMOTE alternative in conglomerate neural networks for realistic data augmentation in cardiovascular and breast cancer diagnosis
Journal Of Big Data·2025· 5 citedOpen Access
Multi-Relation Graph Transformer and Edge Aware Learning: A Scalable Approach for Detecting Fraud in Heterogeneous Graphs
2025· 1 cited
Multi-modality medical image classification with ResoMergeNet for cataract, lung cancer, and breast cancer diagnosis
Computers in Biology and Medicine·2025· 7 cited
ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus
Computers in Biology and Medicine·2025· 7 cited
SpanAttNet: A hybrid SpanConv SPDConv architecture with residual self attention for viral protein subcellular localization
Computational Biomedicine·2025Open Access
Enhanced Brain Tumor Detection Using Transfer Learning with Fine-Tuned Efficientnet-B3 Blocks and Graph-Based Spatial Attention Capsule Networks
2024
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet
Computers in Biology and Medicine·2024· 18 cited
Polynomial-SHAP analysis of liver disease markers for capturing of complex feature interactions in machine learning models
Computers in Biology and Medicine·2024· 16 cited
Improved deep neural network (EnhanceNet) for real-time detection of some publicly prohibited items
Network Computation in Neural Systems·2024· 3 cited
Attention-enriched deeper UNet (ADU-NET) for disease diagnosis in breast ultrasound and retina fundus images
Progress in Artificial Intelligence·2024· 8 cited
MACCoM: A multiple attention and convolutional cross-mixer framework for detailed 2D biomedical image segmentation
Computers in Biology and Medicine·2024· 11 cited
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Frequent Co-authors

Olusola Bamisile(21), Chiagoziem C. Ukwuoma(21), Ijeoma Amuche Chikwendu(19), Zhen Qin(15), Makuachukwu Bennedith Ejiyi(13), Grace Ugochi Nneji(13), Happy Nkanta Monday(13), Ariyo Oluwasanmi(11), Victor Kwaku Agbesi(11), Thomas Ugochukwu Ejiyi(10), Dongsheng Cai(6), Jianping Li(5), Edidiong Christopher James(5), Goodness Temofe Mgbejime(5), Oluwatoyosi Bamisile(5), Md Altab Hossin(5), Sandra Obiora(4), Qi Huang(4), Mugahed A. Al–antari(4), Dongsheng Cai(4)