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Haya Alaskar
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2020 – today
- 2024
- [j21]Tarek Khater
, Sam Ansari
Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach. IEEE Access 12: 95091-95105 (2024) - [j20]A'Laa Hussein Ali
A Lightweight Image Encryption Algorithm Based on Secure Key Generation. IEEE Access 12: 95871-95883 (2024) - [j19]Basheera M. Mahmmod
Patient Monitoring System Based on Internet of Things: A Review and Related Challenges With Open Research Issues. IEEE Access 12: 132444-132479 (2024) - [j18]Wisam Ali Mahmood
Intelligent Gesture-Enhanced Blockchain Voting: A New Era of Secure and Accessible E-Voting. IEEE Access 12: 144055-144068 (2024) - 2023
- [j17]Haya Alaskar
Intelligent techniques for deception detection: a survey and critical study. Soft Comput. 27(7): 3581-3600 (2023) - [c21]Amine Essa, Abdullah Zaidan, Suhaib Ziad, Mohamed Elmeligy, Sam Ansari, Haya Alaskar, Soliman A. Mahmoud, Ayad Turky
Electrocardiogram Signal Noise Reduction Application Employing Different Adaptive Filtering Algorithms. ICIC (2) 2023: 330-342 - 2022
- [j16]Thavavel Vaiyapuri, Haya Alaskar, Liyakathunisa Syed, Eman Aljohani, Ahmed Alkhayyat, K. Shankar
Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification. Comput. Electr. Eng. 103: 108292 (2022) - [j15]Adel Binbusayyis
An investigation and comparison of machine learning approaches for intrusion detection in IoMT network. J. Supercomput. 78(15): 17403-17422 (2022) - 2021
- [j14]Thavavel Vaiyapuri
GA-based multi-objective optimization technique for medical image denoising in wavelet domain. J. Intell. Fuzzy Syst. 41(1): 1575-1588 (2021) - [c20]Haya Al-Askar, Rasul Almurshedi, Jamila Mustafina
AI in Skin Cancer Detection. ICIC (3) 2021: 301-311 - [c19]Haya Alaskar, Shaikah Alhewaidi, Bayan Obaid, Ghadah Alzahrani, Aisha Abdulahi, Zohra Sbaï, Thavavel Vaiyapuri:
Dates Fruit Classification Using Convolution Neural Networks. ICICT (3) 2021: 757-775 - 2020
- [j13]Mohammed Khalaf
IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models. IEEE Access 8: 70375-70386 (2020) - [j12]Thavavel Vaiyapuri
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images. Int. J. Comput. Intell. Syst. 13(1): 941-953 (2020) - [j11]Wasiq Khan
Prediction of Flood Severity Level via Processing IoT Sensor Data Using a Data Science Approach. IEEE Internet Things Mag. 3(4): 10-15 (2020) - [j10]Haya Alaskar
A data science approach for reliable classification of neuro-degenerative diseases using gait patterns. J. Reliab. Intell. Environ. 6(4): 233-247 (2020) - [j9]Zaynab Ahmed
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics. Remote. Sens. 12(6): 1004 (2020) - [j8]Bassem Abd-El-Atty
A Robust Quasi-Quantum Walks-based Steganography Protocol for Secure Transmission of Images on Cloud-based E-healthcare Platforms. Sensors 20(11): 3108 (2020) - [j7]Wasiq Khan
Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision. Sensors 20(13): 3785 (2020)
2010 – 2019
- 2019
- [j6]Abir Jaafar Hussain, Panos Liatsis, Mohammed Khalaf, Hissam Tawfik, Haya Al-Askar:
Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92]. Big Data Res. 18 (2019) - [j5]Haya Alaskar
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images. Sensors 19(6): 1265 (2019) - [c18]Haya Alaskar, Nada Alzhrani, Abir Hussain, Fatma Almarshed:
The Implementation of Pretrained AlexNet on PCG Classification. ICIC (3) 2019: 784-794 - [c17]Haya Alaskar, Thavavel Vaiyapuri
Twitter Analytics for Discovering Socially Important Locations for Business Improvement. ISSPIT 2019: 1-5 - 2018
- [j4]Abir Jaafar Hussain
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting. Big Data Res. 14: 81-92 (2018) - [c16]Natasa K. Orphanidou, Abir Hussain, Robert Keight, Paulo Lisboa, Jade Hind, Haya Al-Askar:
Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning. CEC 2018: 1-8 - [c15]Haya Alaskar, Abir Hussain:
Prediction of Parkinson Disease Using Gait Signals. DeSE 2018: 23-26 - [c14]Haya Alaskar, Abir Jaafar Hussain:
Data Mining to Support the Discrimination of Amyotrophic Lateral Sclerosis Diseases Based on Gait Analysis. ICIC (3) 2018: 760-766 - 2016
- [j3]Abir Jaafar Hussain, Dhiya Al-Jumeily
Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction. Neurocomputing 188: 23-30 (2016) - [c13]Mohammed Khalaf
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease. ICIC (1) 2016: 784-795 - [c12]C. Aday Curbelo Montañez, Paul Fergus
A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight. ICIC (1) 2016: 808-819 - [c11]Ala S. Al Kafri
A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies. ICIC (1) 2016: 843-854 - 2015
- [j2]Haya Alaskar, David J. Lamb, Abir Jaafar Hussain, Dhiya Al-Jumeily, Martin Randles
Predicting financial time series data using artificial immune system-inspired neural networks. Int. J. Artif. Intell. Soft Comput. 5(1): 45-68 (2015) - [j1]Abir Jaafar Hussain, Paul Fergus
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. Neurocomputing 151: 963-974 (2015) - [c10]David C. Reid
Forecasting Weather Signals Using a Polychronous Spiking Neural Network. ICIC (1) 2015: 116-123 - [c9]Abir Jaafar Hussain, Paul Fergus
The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study. ICIC (3) 2015: 752-758 - 2014
- [b1]Haya Alaskar:
Dynamic self-organised neural network inspired by the immune algorithm for financial time series prediction and medical data classification. Liverpool John Moores University, UK, 2014 - [c8]Ibrahim Olatunji Idowu, Paul Fergus
Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. CISIS 2014: 95-100 - [c7]Abir Jaafar Hussain, Haya Alaskar, Dhiya Al-Jumeily
Physical Time Series Prediction Using Dynamic Neural Network Inspired by the Immune Algorithm. ICAIS 2014: 152-161 - [c6]Haya Al-Askar, Abir Jaafar Hussain, Dhiya Al-Jumeily
Regularized Dynamic Self Organized Neural Network Inspired by the Immune Algorithm for Financial Time Series Prediction. ICIC (3) 2014: 56-62 - [c5]Haya Alaskar, Abir Jaafar Hussain, Paul Hussain Fergus, Dhiya Al-Jumeily
Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm. ICIC (1) 2014: 206-212 - [c4]Paul Fergus
Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records. ICIC (3) 2014: 309-314 - [c3]Rentian Huang, Hissam Tawfik, Abir Jaafar Hussain, Haya Al-Askar:
The Application of Artificial Immune Systems for the Prediction of Premature Delivery. ICIC (2) 2014: 825-833 - 2013
- [c2]Dhiya Al-Jumeily
Recurrent neural networks inspired by artificial Immune algorithm for time series prediction. IJCNN 2013: 1-8 - [c1]Dhiya Al-Jumeily
Recurrent neural networks inspired by artificial immune algorithm for time series prediction. IJCNN 2013: 1-8
Coauthor Index
aka: Abir Hussain
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last updated on 2024-11-15 19:32 CET by the dblp team
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