Bless Lord Y. Agbley

Orcid: 0000-0002-3480-1936

According to our database1, Bless Lord Y. Agbley authored at least 11 papers between 2022 and 2024.

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

Timeline

Legend:

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Links

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Bibliography

2024
Federated Fusion of Magnified Histopathological Images for Breast Tumor Classification in the Internet of Medical Things.
IEEE J. Biomed. Health Informatics, June, 2024

DEBCM: Deep Learning-Based Enhanced Breast Invasive Ductal Carcinoma Classification Model in IoMT Healthcare Systems.
IEEE J. Biomed. Health Informatics, March, 2024

2023
Optimized MLP-CNN Model to Enhance Detecting DDoS Attacks in SDN Environment.
Network, October, 2023

MCNN: a multi-level CNN model for the classification of brain tumors in IoT-healthcare system.
J. Ambient Intell. Humaniz. Comput., 2023

Correction: Stock Market Index Prediction Using Machine Learning and Deep Learning Techniques.
Intell. Autom. Soft Comput., 2023

Stock Market Index Prediction Using Machine Learning and Deep Learning Techniques.
Intell. Autom. Soft Comput., 2023

Gesture Control of Micro-drone: A Lightweight-Net with Domain Randomization and Trajectory Generators.
CoRR, 2023

2022
IIMFCBM: Intelligent Integrated Model for Feature Extraction and Classification of Brain Tumors Using MRI Clinical Imaging Data in IoT-Healthcare.
IEEE J. Biomed. Health Informatics, 2022

Accelerating trail navigation for unmanned aerial vehicle: A denoising deep-net with 3D-NLGL.
J. Intell. Fuzzy Syst., 2022

A survey of deep learning techniques based Parkinson's disease recognition methods employing clinical data.
Expert Syst. Appl., 2022

Stacking approach for accurate Invasive Ductal Carcinoma classification.
Comput. Electr. Eng., 2022


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