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ORCIDAdekanmi Adeyinka Adegun
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2020 – today
- 2023
[j10]Samson Akinpelu
, Serestina Viriri, Adekanmi Adegun:
Lightweight Deep Learning Framework for Speech Emotion Recognition. IEEE Access 11: 77086-77098 (2023)- [j9]Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole:
mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. Frontiers Artif. Intell. 6 (2023) - [j8]Emmanuel Oluwatobi Asani, Yomi Phineas Osadeyi, Adekanmi Adeyinka Adegun, Serestina Viriri, Joyce Ayoola, Ebenezer Ayorinde Kolawole:
Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world. Frontiers Artif. Intell. 6 (2023) - [j7]Adekanmi Adeyinka Adegun, Serestina Viriri, Jules-Raymond Tapamo:
Review of deep learning methods for remote sensing satellite images classification: experimental survey and comparative analysis. J. Big Data 10(1): 93 (2023) - [j6]Adekanmi Adeyinka Adegun, Jean Vincent Fonou Dombeu, Serestina Viriri, John Odindi:
State-of-the-Art Deep Learning Methods for Objects Detection in Remote Sensing Satellite Images. Sensors 23(13): 5849 (2023) - [c12]Sunday Adeola Ajagbe, Adekanmi Adeyinka Adegun, Pragasen Mudali, Matthew Olusegun Adigun:
Performance of Machine Learning Models for Pandemic Detection Using COVID-19 Dataset. AFRICON 2023: 1-6 - 2022
- [j5]Jane Oruh, Serestina Viriri, Adekanmi Adegun:
Long Short-Term Memory Recurrent Neural Network for Automatic Speech Recognition. IEEE Access 10: 30069-30079 (2022) - 2021
- [j4]Adekanmi Adegun, Serestina Viriri:
Deep learning techniques for skin lesion analysis and melanoma cancer detection: a survey of state-of-the-art. Artif. Intell. Rev. 54(2): 811-841 (2021) - [j3]Adekanmi Adeyinka Adegun, Serestina Viriri, Roseline Oluwaseun Ogundokun:
Deep Learning Approach for Medical Image Analysis. Comput. Intell. Neurosci. 2021: 6215281:1-6215281:9 (2021) - [c11]Noah Oluwatobi Akande, Hakeem Babalola Akande, Anthonia Aderonke Kayode, Adegun Adekanmi Adeyinka, Olaiya Folorunsho, Gbenle Oluwadara:
Development of a Real Time Smishing Detection Mobile Application using Rule Based Techniques. ITQM 2021: 95-102 - 2020
- [j2]Adekanmi Adegun, Serestina Viriri:
Deep Learning-Based System for Automatic Melanoma Detection. IEEE Access 8: 7160-7172 (2020) - [j1]Adekanmi Adeyinka Adegun, Serestina Viriri:
FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images. IEEE Access 8: 150377-150396 (2020) - [c10]Adekanmi Adegun, Serestina Viriri:
Deep Convolutional Network-Based Framework for Melanoma Lesion Detection and Segmentation. ACIVS 2020: 51-62
2010 – 2019
- 2019
- [c9]Adekanmi Adegun, Serestina Viriri:
An Enhanced Deep Learning Framework for Skin Lesions Segmentation. ICCCI (1) 2019: 414-425 - [c8]Adekanmi Adegun, Serestina Viriri:
Fully Convolutional Encoder-Decoder Architecture (FCEDA) for Skin Lesions Segmentation. ICCCI (1) 2019: 426-437 - [c7]Noah Oluwatobi Akande, Christiana Oluwakemi Abikoye, Marion Olubunmi Adebiyi, Anthonia Aderonke Kayode, Adekanmi Adeyinka Adegun, Roseline Oluwaseun Ogundokun:
Electronic Medical Information Encryption Using Modified Blowfish Algorithm. ICCSA (5) 2019: 166-179 - [c6]Adegun Adekanmi Adeyinka, Marion Olubunmi Adebiyi, Noah Oluwatobi Akande, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, Tinuke Omolewa Oladele:
A Deep Convolutional Encoder-Decoder Architecture for Retinal Blood Vessels Segmentation. ICCSA (5) 2019: 180-189 - [c5]Marion O. Adebiyi, Bolaji Famuyiwa, Abayomi Mosaku, Roseline Ogundokun, Olaolu Arowolo, Noah Akande, Adekanmi Adegun, Aderonke Kayode, Ayodele Ariyo Adebiyi, Ezekiel F. Adebiyi:
Computational Investigation of Consistency and Performance of the Biochemical Network of the Malaria Parasite, Plasmodium falciparum. ICCSA (5) 2019: 231-241 - [c4]Tinuke Omolewa Oladele, Roseline Oluwaseun Ogundokun, Anthonia Aderonke Kayode, Adekanmi Adeyinka Adegun, Marion Oluwabunmi Adebiyi:
Application of Data Mining Algorithms for Feature Selection and Prediction of Diabetic Retinopathy. ICCSA (5) 2019: 716-730 - [c3]Adekanmi Adegun, Serestina Viriri:
Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network. ICIAR (2) 2019: 232-242 - [c2]Omran Salih, Serestina Viriri, Adekanmi Adegun:
Skin Lesion Segmentation Based on Region-Edge Markov Random Field. ISVC (2) 2019: 407-418 - 2018
- [c1]Adegun Adekanmi Adeyinka, Serestina Viriri:
Skin Lesion Images Segmentation: A Survey of the State-of-the-Art. MIKE 2018: 321-330
Coauthor Index
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