Haya Alaskar
Orcid: 0000-0002-1688-0669
According to our database1,
Haya Alaskar
authored at least 37 papers
between 2013 and 2023.
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Bibliography
2023
Soft Comput., April, 2023
Electrocardiogram Signal Noise Reduction Application Employing Different Adaptive Filtering Algorithms.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
2022
An investigation and comparison of machine learning approaches for intrusion detection in IoMT network.
J. Supercomput., 2022
Modified metaheuristics with stacked sparse denoising autoencoder model for cervical cancer classification.
Comput. Electr. Eng., 2022
2021
GA-based multi-objective optimization technique for medical image denoising in wavelet domain.
J. Intell. Fuzzy Syst., 2021
Proceedings of Sixth International Congress on Information and Communication Technology, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
2020
Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision.
Sensors, 2020
A Robust Quasi-Quantum Walks-based Steganography Protocol for Secure Transmission of Images on Cloud-based E-healthcare Platforms.
Sensors, 2020
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics.
Remote. Sens., 2020
A data science approach for reliable classification of neuro-degenerative diseases using gait patterns.
J. Reliab. Intell. Environ., 2020
Prediction of Flood Severity Level via Processing IoT Sensor Data Using a Data Science Approach.
IEEE Internet Things Mag., 2020
Whale Optimization for Wavelet-Based Unsupervised Medical Image Segmentation: Application to CT and MR Images.
Int. J. Comput. Intell. Syst., 2020
IEEE Access, 2020
2019
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.
Sensors, 2019
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., 2019
Twitter Analytics for Discovering Socially Important Locations for Business Improvement.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
2018
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting.
Big Data Res., 2018
Data Mining to Support the Discrimination of Amyotrophic Lateral Sclerosis Diseases Based on Gait Analysis.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
2016
Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction.
Neurocomputing, 2016
A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweight.
Proceedings of the Intelligent Computing Theories and Application, 2016
Training Neural Networks as Experimental Models: Classifying Biomedical Datasets for Sickle Cell Disease.
Proceedings of the Intelligent Computing Theories and Application, 2016
A Framework on a Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain Using Artificial Intelligence and Computer Graphics Technologies.
Proceedings of the Intelligent Computing Theories and Application, 2016
2015
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women.
Neurocomputing, 2015
Predicting financial time series data using artificial immune system-inspired neural networks.
Int. J. Artif. Intell. Soft Comput., 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
The Utilisation of Dynamic Neural Networks for Medical Data Classifications- Survey with Case Study.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
2014
Dynamic self-organised neural network inspired by the immune algorithm for financial time series prediction and medical data classification.
PhD thesis, 2014
The Application of Artificial Immune Systems for the Prediction of Premature Delivery.
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 2014
Evaluation of Advanced Artificial Neural Network Classification and Feature Extraction Techniques for Detecting Preterm Births Using EHG Records.
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
Feature Analysis of Uterine Electrohystography Signal Using Dynamic Self-organised Multilayer Network Inspired by the Immune Algorithm.
Proceedings of the Intelligent Computing Theory - 10th International Conference, 2014
Physical Time Series Prediction Using Dynamic Neural Network Inspired by the Immune Algorithm.
Proceedings of the Adaptive and Intelligent Systems - Third International Conference, 2014
Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births.
Proceedings of the Eighth International Conference on Complex, 2014
2013
Recurrent neural networks inspired by artificial Immune algorithm for time series prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013