Adekanmi Adeyinka Adegun

According to our database, Adekanmi Adeyinka Adegun authored at least 22 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis.

Adekanmi Adeyinka Adegun, Serestina Viriri, Jules-Raymond Tapamo

J. Big Data, December, 2023

State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images.

Adekanmi Adeyinka Adegun, Jean Vincent Fonou Dombeu, Serestina Viriri, John Odindi

Sensors, July, 2023

Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world.

Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole

Frontiers Artif. Intell., February, 2023

mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world.

Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole

Frontiers Artif. Intell., February, 2023

Lightweight Deep Learning Framework for Speech Emotion Recognition.

Samson Akinpelu, Serestina Viriri, Adekanmi Adegun

IEEE Access, 2023

Performance of Machine Learning Models for Pandemic Detection Using COVID-19 Dataset.

Sunday Adeola Ajagbe, Adekanmi Adeyinka Adegun, Pragasen Mudali, Matthew Olusegun Adigun

Proceedings of the IEEE AFRICON 2023, Nairobi, Kenya, September 20-22, 2023, 2023

2022

Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition.

Jane Oruh, Serestina Viriri, Adekanmi Adegun

IEEE Access, 2022

2021

Deep Learning Approach for Medical Image Analysis.

Adekanmi Adeyinka Adegun, Serestina Viriri, Roseline Oluwaseun Ogundokun

Comput. Intell. Neurosci., 2021

Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art.

Adekanmi Adegun, Serestina Viriri

Artif. Intell. Rev., 2021

Development of a Real Time Smishing Detection Mobile Application using Rule Based Techniques.

Noah Oluwatobi Akande, Hakeem Babalola Akande, Anthonia Aderonke Kayode, Adegun Adekanmi Adeyinka, Olaiya Folorunsho, Gbenle Oluwadara

Proceedings of the 8th International Conference on Information Technology and Quantitative Management, 2021

2020

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images.

Adekanmi Adeyinka Adegun, Serestina Viriri

IEEE Access, 2020

Deep Learning-Based System for Automatic Melanoma Detection.

Adekanmi Adegun, Serestina Viriri

IEEE Access, 2020

Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation.

Adekanmi Adegun, Serestina Viriri

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019

Skin Lesion Segmentation Based on Region-Edge Markov Random Field.

Omran Salih, Serestina Viriri, Adekanmi Adegun

Proceedings of the Advances in Visual Computing, 2019

Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network.

Adekanmi Adegun, Serestina Viriri

Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy.

Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, Adekanmi Adeyinka Adegun, Marion Oluwabunmi Adebiyi

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Electronic Medical Information Encryption Using Modified Blowfish Algorithm.

Noah Oluwatobi Akande, Christiana Oluwakemi Abikoye, Marion Olubunmi Adebiyi, Anthonia Aderonke Kayode, Adekanmi Adeyinka Adegun, Roseline Oluwaseun Ogundokun

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation.

Adegun Adekanmi Adeyinka, Marion Olubunmi Adebiyi, Noah Oluwatobi Akande, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, Tinuke Omolewa Oladele

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum.

Marion O. Adebiyi, Bolaji Famuyiwa, Abayomi Mosaku, Roseline Ogundokun, Olaolu Arowolo, Noah Akande, Adekanmi Adegun, Aderonke Kayode, Ayodele Ariyo Adebiyi, Ezekiel F. Adebiyi

Proceedings of the Computational Science and Its Applications - ICCSA 2019, 2019

Fully Convolutional Encoder-Decoder Architecture (FCEDA) for Skin Lesions Segmentation.

Adekanmi Adegun, Serestina Viriri

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

An Enhanced Deep Learning Framework for Skin Lesions Segmentation.

Adekanmi Adegun, Serestina Viriri

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

2018

Skin Lesion Images Segmentation: A Survey of the State-of-the-Art.

Adegun Adekanmi Adeyinka, Serestina Viriri

Proceedings of the Mining Intelligence and Knowledge Exploration, 2018