Ibrahim Olatunji Idowu

According to our database, Ibrahim Olatunji Idowu authored at least 11 papers between 2014 and 2017.

Collaborative distances:

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

2017

Classification techniques using EHG signals for detecting preterm births.

Ibrahim Olatunji Idowu

PhD thesis, 2017

A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.

Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Ala S. Al Kafri, Carl Chalmers, Paul Fergus, Ibrahim Olatunji Idowu

Proceedings of the Intelligent Computing Theories and Application, 2017

Recurrent Neural Network Architectures for Analysing Biomedical Data Sets.

Mohammed Khalaf, Abir Jaafar Hussain, Robert Keight, Dhiya Al-Jumeily, Russell Keenan, Carl Chalmers, Paul Fergus, Wafaa Salih, Dhafar Hamed Abd, Ibrahim Olatunji Idowu

Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

2016

Advanced artificial neural network classification for detecting preterm births using EHG records.

Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins

Neurocomputing, 2016

Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease.

Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu

Proceedings of the Intelligent Computing Theories and Application, 2016

2015

Advance flood detection and notification system based on sensor technology and machine learning algorithm.

Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Paul Fergus, Ibrahim Olatunji Idowu

Proceedings of the International Conference on Systems, Signals and Image Processing, 2015

Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease.

Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Robert Keight, Paul Fergus, Ibrahim Olatunji Idowu

Proceedings of the International Conference on Developments of E-Systems Engineering, 2015

Robust Approach for Medical Data Classification and Deploying Self-Care Management System for Sickle Cell Disease.

Mohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Russell Keenan, Paul Fergus, Ibrahim Olatunji Idowu

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

Artificial Intelligence for Detecting Preterm Uterine Activity in Gynecology and Obstetric Care.

Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Mohammed Khalaf, Raúl V. Casaña Eslava, Robert Keight

Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014

Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records.

Paul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar

Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014

Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births.

Ibrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar

Proceedings of the Eighth International Conference on Complex, 2014