BA
Bless Lord Yayra Agbley
Research areas: Computer Science · Artificial Intelligence · AI in cancer detection · Advanced Neural Network Applications · Privacy-Preserving Technologies in Data
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Publications (25)
- Optimized MLP-CNN Model to Enhance Detecting DDoS Attacks in SDN Environment Save
- A Multimodal Network Security Framework for Healthcare Based on Deep Learning Save
- Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things Save
- Anonymous Signcryption for Securing Knowledge Management System Save
- Community Detection Approach Via Graph Regularized Non-Negative Matrix Factorization Save
- Disparity Analysis Between the Assembly and Byte Malware Samples with Deep Autoencoders Save
- Federated Approach for Lung and Colon Cancer Classification Save
- Accelerating trail navigation for unmanned aerial vehicle: A denoising deep-net with 3D-NLGL Save
- MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system Save
- Autonomous health assessment of civil infrastructure using deep learning and smart devices Save
- A survey of deep learning techniques based Parkinson’s disease recognition methods employing clinical data Save
- Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images Save
- Stacking approach for accurate Invasive Ductal Carcinoma classification Save
- DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems Save
- IIMFCBM : Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare Save
- Accelerating Classification on Resource-Constrained Edge Nodes Towards Automated Structural Health Monitoring Save
- Akan-English: Transformer for Low Resource Translation Save
- Carbon Emission Monitoring and Credit Trading: The Blockchain and IOT Approach Save
- Exsumm-VIZ: Visual Interpretation of Attention Model In Text Summarizations Save
- Investigating Vision Transformer Models for Low-Resolution Medical Image Recognition Save