Haya Al-Askar - researchr alias

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Viewing Publication 1 - 14 from 14

2021

AI in Skin Cancer DetectionHaya Al-Askar, Rasul Almurshedi, Jamila Mustafina, Dhiya Al-Jumeily, Abir Hussain. icic 2021: 301-311 [doi]

2020

Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data AnalyticsZayneb Ahmed, Abir Jaafar Hussain, Wasiq Khan, Thar Baker, Haya Al-Askar, Janet Lunn, Raghad Al-Shabandar, Dhiya Al-Jumeily, Panos Liatsis. remotesensing, 12(6):1004, 2020. [doi]

Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer VisionWasiq Khan, Abir Hussain, Kaya Kuru, Haya Al-Askar. sensors, 20(13):3785, 2020. [doi]

2018

Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine LearningNatasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lishoa, Jade Hind, Haya Al-Askar. cec 2018: 1-8 [doi]

2016

Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series predictionAbir Jaafar Hussain, Dhiya Al-Jumeily, Haya Al-Askar, Naeem Radi. ijon, 188:23-30, 2016. [doi]

A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics TechnologiesAla S. Al Kafri, Sud Sudirman, Abir Jaafar Hussain, Paul Fergus, Dhiya Al-Jumeily, Mohammed Al-Jumaily, Haya Al-Askar. icic 2016: 843-854 [doi]

Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell DiseaseMohammed Khalaf, Abir Jaafar Hussain, Dhiya Al-Jumeily, Robert Keight, Russell Keenan, Paul Fergus, Haya Al-Askar, Andy Shaw, Ibrahim Olatunji Idowu. icic 2016: 784-795 [doi]

A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and OverweightC. Aday Curbelo Montañez, Paul Fergus, Abir Jaafar Hussain, Dhiya Al-Jumeily, B. Abdulaimma, Haya Al-Askar. icic 2016: 808-819 [doi]

2015

Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant womenAbir Jaafar Hussain, Paul Fergus, Haya Al-Askar, Dhiya Al-Jumeily, F. Jager. ijon, 151:963-974, 2015. [doi]

Forecasting Weather Signals Using a Polychronous Spiking Neural NetworkDavid Reid, Hissam Tawfik, Abir Jaafar Hussain, Haya Al-Askar. icic 2015: 116-123 [doi]

2014

Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series PredictionHaya Al-Askar, Abir Jaafar Hussain, Dhiya Al-Jumeily, Naeem Radi. icic 2014: 56-62 [doi]

Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG RecordsPaul Fergus, Ibrahim Olatunji Idowu, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar. icic 2014: 309-314 [doi]

The Application of Artificial Immune Systems for the Prediction of Premature DeliveryRentian Huang, Hissam Tawfik, Abir Jaafar Hussain, Haya Al-Askar. icic 2014: 825-833 [doi]

Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm BirthsIbrahim Olatunji Idowu, Paul Fergus, Abir Jaafar Hussain, Chelsea Dobbins, Haya Al-Askar. cisis 2014: 95-100 [doi]

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