Emmanuel Adetiba

Orcid: 0000-0001-9227-7389

According to our database1, Emmanuel Adetiba authored at least 26 papers between 2010 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Development of a Low-Intensity Light Imaging Probe for Childbirth Cervical Dilation Image Acquisition.
IEEE Access, 2023

SecFedIDM-V1: A Secure Federated Intrusion Detection Model With Blockchain and Deep Bidirectional Long Short-Term Memory Network.
IEEE Access, 2023

NaijaFaceVoice: A Large-Scale Deep Learning Model and Database of Nigerian Faces and Voices.
IEEE Access, 2023

Federated Clouds: A New Metric for Measuring the Quality of Data Anonymization.
Proceedings of the Ubiquitous Networking - 9th International Symposium, 2023

2022
Automatic Modulation Recognition Using Minimum-Phase Reconstruction Coefficients and Feed-Forward Neural Network.
J. Comput. Sci. Eng., 2022

Identification of Bots and Cyborgs in the #FeesMustFall Campaign.
Informatics, 2022

FEDARGOS-V1: A Monitoring Architecture for Federated Cloud Computing Infrastructures.
IEEE Access, 2022

Contactless Palmprint Recognition System: A Survey.
IEEE Access, 2022

Interference Detection Among Secondary Users Deployed in Television Whitespace.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

2021
Evolution of artificial intelligence languages, a systematic literature review.
CoRR, 2021

A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem.
Appl. Comput. Intell. Soft Comput., 2021

FEDGEN Testbed: A Federated Genomics Private Cloud Infrastructure for Precision Medicine and Artificial Intelligence Research.
Proceedings of the Informatics and Intelligent Applications, 2021

Automatic Modulation Recognition Models Based on Transfer Learning and Simulated Radio Signals in AWGN Channels.
Proceedings of the Innovations in Bio-Inspired Computing and Applications, 2021

2020
DeepFacematch: A Convolutional Neural Network Model for Contactless Attendance on e-SIWES Portal.
Proceedings of the Information and Communication Technology and Applications, 2020

2019
Towards a more efficient and cost-sensitive extreme learning machine: A state-of-the-art review of recent trend.
Neurocomputing, 2019

Development of an ECG Smart Jersey Based on Next Generation Computing for Automated Detection of Heart Defects Among Athletes.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Detection of Pools of Bacteria with Public Health Importance in Wastewater Effluent from a Municipality in South Africa Using Next Generation Sequencing and Metagenomics Analysis.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018
Medical Image Classification with Hand-Designed or Machine-Designed Texture Descriptors: A Performance Evaluation.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Alignment-Free Z-Curve Genomic Cepstral Coefficients and Machine Learning for Classification of Viruses.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

2017
Experimental Investigation of Frequency Chaos Game Representation for in Silico and Accurate Classification of Viral Pathogens from Genomic Sequences.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

Breathogenomics: A Computational Architecture for Screening, Early Diagnosis and Genotyping of Lung Cancer.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

In Silico Prediction of 3D Structure of Anopheles Gambiae ABCC12 Protein.
Proceedings of the Bioinformatics and Biomedical Engineering, 2017

2016
Classification of Eukaryotic Organisms Through Cepstral Analysis of Mitochondrial DNA.
Proceedings of the Image and Signal Processing - 7th International Conference, 2016

2015
Identification of Pathogenic Viruses Using Genomic Cepstral Coefficients with Radial Basis Function Neural Network.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

Training Pattern Classifiers with Physiological Cepstral Features to Recognise Human Emotion.
Proceedings of the Advances in Nature and Biologically Inspired Computing, 2015

2010
National Hospital Management Portal (NHMP): a framework for e-health implementation.
Int. J. Electron. Heal., 2010


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