Abir Jaafar Hussain
Orcid: 0000-0001-8413-0045
According to our database1,
Abir Jaafar Hussain
authored at least 245 papers
between 2003 and 2024.
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Bibliography
2024
Insights into Parkinson's Disease-Related Freezing of Gait Detection and Prediction Approaches: A Meta Analysis.
Sensors, June, 2024
Intelligent Gesture-Enhanced Blockchain Voting: A New Era of Secure and Accessible E-Voting.
IEEE Access, 2024
Patient Monitoring System Based on Internet of Things: A Review and Related Challenges With Open Research Issues.
IEEE Access, 2024
Explainable Machine Learning Model for Alzheimer Detection Using Genetic Data: A Genome-Wide Association Study Approach.
IEEE Access, 2024
IEEE Access, 2024
Deep Learning in Automatic Diabetic Retinopathy Detection and Grading Systems: A Comprehensive Survey and Comparison of Methods.
IEEE Access, 2024
Navigating the Freeze: A Machine Learning Approach to Detect Freezing of Gait in Parkinson's Patients.
Proceedings of the IEEE International Conference on Omni-layer Intelligent Systems, 2024
Proceedings of the 21st International Multi-Conference on Systems, Signals & Devices, 2024
2023
Neurocomputing, December, 2023
Skin cancer classification using explainable artificial intelligence on pre-extracted image features.
Intell. Syst. Appl., November, 2023
Outdoor mobility aid for people with visual impairment: Obstacle detection and responsive framework for the scene perception during the outdoor mobility of people with visual impairment.
Expert Syst. Appl., October, 2023
Soft Comput., April, 2023
Transfer Learning for Classification of Alzheimer's Disease Based on Genome Wide Data.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023
Human Body Pose Estimation for Gait Identification: A Comprehensive Survey of Datasets and Models.
ACM Comput. Surv., 2023
A Lightweight Facial Emotion Recognition System Using Partial Transfer Learning for Visually Impaired People.
IEEE Access, 2023
IEEE Access, 2023
A Robust Hybrid Neural Network Architecture for Blind Source Separation of Speech Signals Exploiting Deep Learning.
IEEE Access, 2023
A Hybrid Artistic Model Using Deepy-Dream Model and Multiple Convolutional Neural Networks Architectures.
IEEE Access, 2023
IEEE Access, 2023
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Proceedings of the 46th International Conference on Telecommunications and Signal Processing, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Morphological Classification of Extragalactic Radio Sources Using Gradient Boosting Methods.
Proceedings of the International Joint Conference on Neural Networks, 2023
SegQNAS: Quantum-inspired Neural Architecture Search applied to Medical Image Semantic Segmentation.
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Electrocardiogram Signal Noise Reduction Application Employing Different Adaptive Filtering Algorithms.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023
Fracture Detection Using A Wideband Wearable Monopole Antenna Based on Microwave Imaging.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Identify Type of Lung Infection from Lung Patients X-RAY Image LIVERAGING Computer Vision.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Unveiling the Reliability of ChatGPT Answers in the Biomedical Realm: An Assessment in the.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
A non-Restraining Sheep Activity Detection and Surveillance using Deep Machine Learning.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Optimizing Spectrum Prediction in Cognitive Radio: Genetic Algorithm-Enhanced Neural Networks and Radial Basis Functions.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Using Electrical Impedance Tomography and Machine Learning for Breast Cancer Detection.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Comparison of Machine Learning Algorithms for classification of Late Onset Alzheimer's disease.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Intelligent Measuring for a Customer Satisfaction Level Inspired by Transformation Language Model.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Integrating Deep Learning and Ant Colony Optimization for Improved Shortest Route Problem Solving.
Proceedings of the 5th International Conference on Big-data Service and Intelligent Computation, 2023
2022
Sensors, 2022
Int. J. Online Biomed. Eng., 2022
Int. J. Online Biomed. Eng., 2022
Locally weighted classifiers for detection of neighbor discovery protocol distributed denial-of-service and replayed attacks.
Trans. Emerg. Telecommun. Technol., 2022
Expert Syst. Appl., 2022
Discov. Internet Things, 2022
IEEE Access, 2022
Machine Learning Approaches and Applications in Genome Wide Association Study for Alzheimer's Disease: A Systematic Review.
IEEE Access, 2022
Proceedings of the International Joint Conference on Neural Networks, 2022
Data Science and Industrial Applications.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Application of Deep Learning Autoencoders as Features Extractor of Diabetic Foot Ulcer Images.
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
2021
An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-Based, Memory-Driven Approach.
IEEE Trans. Sustain. Comput., 2021
Deception in the eyes of deceiver: A computer vision and machine learning based automated deception detection.
Expert Syst. Appl., 2021
IEEE Access, 2021
Challenges in Data Capturing and Collection for Physiological Detection of Dementia-Related Difficulties and Proposed Solutions.
Proceedings of the Intelligent Computing Theories and Application, 2021
Review of Methods for Data Collection Experiments with People with Dementia and the Impact of COVID-19.
Proceedings of the Intelligent Computing Theories and Application, 2021
A Novel Hybrid Machine Learning Approach Using Deep Learning for the Prediction of Alzheimer Disease Using Genome Data.
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the Intelligent Computing Theories and Application, 2021
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021
Stacked Machine Learning Model for Predicting Alzheimer's Disease Based on Genetic Data.
Proceedings of the 14th International Conference on Developments in eSystems Engineering, 2021
2020
Prospects of Machine and Deep Learning in Analysis of Vital Signs for the Improvement of Healthcare Services.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020
Implementation of Machine Learning and Data Mining to Improve Cybersecurity and Limit Vulnerabilities to Cyber Attacks.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020
Performance-Based Prediction of Chronic Kidney Disease Using Machine Learning for High-Risk Cardiovascular Disease Patients.
Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 2020
IEEE ACM Trans. Comput. Biol. Bioinform., 2020
Pupil Localisation and Eye Centre Estimation Using Machine Learning and Computer Vision.
Sensors, 2020
Cross Lingual Sentiment Analysis: A Clustering-Based Bee Colony Instance Selection and Target-Based Feature Weighting Approach.
Sensors, 2020
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics.
Remote. Sens., 2020
Pattern Recognit. Lett., 2020
Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 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
Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching.
CoRR, 2020
An efficient queries processing model based on Multi Broadcast Searchable Keywords Encryption (MBSKE).
Ad Hoc Networks, 2020
IEEE Access, 2020
Proceedings of the Innovative Systems for Intelligent Health Informatics, 2020
Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020
Using Self Organizing Maps and K Means Clustering Based on RFM Model for Customer Segmentation in the Online Retail Business.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Feature Extraction and Random Forest to Identify Sheep Behavior from Accelerometer Data.
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis).
Proceedings of the Intelligent Computing Methodologies - 16th International Conference, 2020
Proceedings of the Handbook of Computer Networks and Cyber Security, 2020
2019
Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images.
Sensors, 2019
Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 2019
Patients Attitude to Technology - A Way to Improve Hydrocephalus Management and Follow up Using Smartphone Intelligent Application.
J. Medical Syst., 2019
A systematic review on the status and progress of homomorphic encryption technologies.
J. Inf. Secur. Appl., 2019
Classifying Periodic Astrophysical Phenomena from non-survey optimized variable-cadence observational data.
Expert Syst. Appl., 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
Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks.
IEEE Access, 2019
Detecting At-Risk Students With Early Interventions Using Machine Learning Techniques.
IEEE Access, 2019
A Task Scheduling Algorithm With Improved Makespan Based on Prediction of Tasks Computation Time algorithm for Cloud Computing.
IEEE Access, 2019
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
An Application of Using Support Vector Machine Based on Classification Technique for Predicting Medical Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2019
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Novel Framework for Outdoor Mobility Assistance and Auditory Display for Visually Impaired People.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Automatic Stopword Detection Using Term Ranking between Written and Machine Speech Recognition Transcribed Reviews.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
An Insight into ICP Monitoring of Patients with Hydrocephalus using Data Science Approach.
Proceedings of the 16th IEEE/ACS International Conference on Computer Systems and Applications, 2019
2018
Neurocomputing, 2018
Expert Syst. Appl., 2018
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
CoRR, 2018
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting.
Big Data Res., 2018
Dynamic ridge polynomial neural network with Lyapunov function for time series forecasting.
Appl. Intell., 2018
Analyzing Learners Behavior in MOOCs: An Examination of Performance and Motivation Using a Data-Driven Approach.
IEEE Access, 2018
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018
Applications of Machine Learning Techniques for Software Engineering Learning and Early Prediction of Students' Performance.
Proceedings of the Soft Computing in Data Science - 4th International Conference, 2018
Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Detecting Distributed Denial of Service Attacks in Neighbour Discovery Protocol Using Machine Learning Algorithm Based on Streams Representation.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 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 Intelligent Computing Theories and Application, 2018
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Robust Interpretation of Genomic Data in Chronic Obstructive Pulmonary Disease (COPD).
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Detecting NDP Distributed Denial of Service Attacks Using Machine Learning Algorithm Based on Flow-Based Representation.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Application of Machine Learning on Student Data for the Appraisal of Academic Performance.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Healthcare Services Innovations Based on the State of the Art Technology Trend Industry 4.0.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Traffic Load Reduction of Multi-owner, Multikeywords and Multi-user Searches Using Parallel Searching and Cache Trapdoors.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Segmentation of Lumbar Spine MRI Images for Stenosis Detection Using Patch-Based Pixel Classification Neural Network.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Early Prediction of Chronic Kidney Disease Using Machine Learning Supported by Predictive Analytics.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
The Application of Gaussian Mixture Models for the Identification of At-Risk Learners in Massive Open Online Courses.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018
A Study of Data Classification and Selection Techniques to Diagnose Headache Patients.
Proceedings of the Applications of Big Data Analytics, Trends, Issues, and Challenges., 2018
2017
Machine learning approaches to the application of disease modifying therapy for sickle cell using classification models.
Neurocomputing, 2017
Neurocomputing, 2017
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017
Internet of things eco-systems: assured interactivity of devices and data through cloud based team work.
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017
Machine learning approaches for the prediction of obesity using publicly available genetic profiles.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
The classification of periodic light curves from non-survey optimized observational data through automated extraction of phase-based visual features.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Towards the discrimination of primary and secondary headache: An intelligent systems approach.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Machine learning approaches to predict learning outcomes in Massive open online courses.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
Evaluation of Phenotype Classification Methods for Obesity Using Direct to Consumer Genetic Data.
Proceedings of the Intelligent Computing Theories and Application, 2017
A Performance Evaluation of Systematic Analysis for Combining Multi-class Models for Sickle Cell Disorder Data Sets.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the Intelligent Computing Theories and Application, 2017
Lumbar Spine Discs Labeling Using Axial View MRI Based on the Pixels Coordinate and Gray Level Features.
Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017
Towards the Differentiation of Initial and Final Retention in Massive Open Online Courses.
Proceedings of the Intelligent Computing Theories and Application, 2017
Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data.
Proceedings of the Intelligent Computing Theories and Application, 2017
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
Detecting the Disc Herniation in Segmented Lumbar Spine MR Image Using Centroid Distance Function.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
Development of an Interactive System to Enhance Strategic Planning Process and Quality of Aviation Operations Using Balanced Scorecard: A UAE Case study.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017
2016
Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction.
Neurocomputing, 2016
Advanced artificial neural network classification for detecting preterm births using EHG records.
Neurocomputing, 2016
Evaluation of machine learning methods to predict knee loading from the movement of body segments.
Proceedings of the 2016 International Joint Conference on Neural Networks, 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
A Dynamic, Modular Intelligent-Agent Framework for Astronomical Light Curve Analysis and Classification.
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
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
Proceedings of the Intelligent Computing Theories and Application, 2016
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016
2015
Res. Pract. Technol. Enhanc. Learn., 2015
Int. J. Space Based Situated Comput., 2015
Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women.
Neurocomputing, 2015
Neurocomputing, 2015
A classifier fusion strategy to improve the early detection of neurodegenerative diseases.
Int. J. Artif. Intell. Soft Comput., 2015
Predicting financial time series data using artificial immune system-inspired neural networks.
Int. J. Artif. Intell. Soft Comput., 2015
Advance flood detection and notification system based on sensor technology and machine learning algorithm.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
The utilisation of social media for bridging the gap between patients and pharmaceutical companies.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
Applied machine learning classifiers for medical applications: Clarifying the behavioural patterns using a variety of datasets.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
Improving the barrier of communication between healthcare professionals and their patients using a Prescription Tracking System.
Proceedings of the International Conference on Systems, Signals and Image Processing, 2015
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease.
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
A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
A Position Paper on Predicting the Onset of Nocturnal Enuresis Using Advanced Machine Learning.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
A Systematic Comparison and Evaluation of Supervised Machine Learning Classifiers Using Headache Dataset.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Self-organized Neural Network Inspired by the Immune Algorithm for the Prediction of Speech Signals.
Proceedings of the Intelligent Computing Theories and Methodologies, 2015
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Technology Acceptance Model for the Use of M-Health Services among Health Related Users in UAE.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
The Development of Fraud Detection Systems for Detection of Potentially Fraudulent Applications.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Improving Communication between Healthcare Professionals and Their Patients through a Prescription Tracking System.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
Applied Difference Techniques of Machine Learning Algorithm and Web-Based Management System for Sickle Cell Disease.
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.
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.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015
2014
Proceedings of the Big Data and Internet of Things: A Roadmap for Smart Environments, 2014
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014
Proceedings of the Intelligent Computing Methodologies - 10th International Conference, 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
Proceedings of the Intelligent Computing in Bioinformatics - 10th International Conference, 2014
A Study of Data Classification and Selection Techniques for Medical Decision Support Systems.
Proceedings of the Intelligent Computing Methodologies - 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
Proceedings of the Intelligent Computing in Bioinformatics - 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
Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets Using Multiple Classifiers.
Proceedings of the Eighth International Conference on Complex, 2014
Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births.
Proceedings of the Eighth International Conference on Complex, 2014
2013
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Recurrent neural networks inspired by artificial Immune algorithm for time series prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Medical Diagnosis: Are Artificial Intelligence Systems Able to Diagnose the Underlying Causes of Specific Headaches?
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013
2011
Dynamic Ridge Polynomial Neural Network: Forecasting the univariate non-stationary and stationary trading signals.
Expert Syst. Appl., 2011
Research, design and development review of the Cloud Computing Management System (CCMS).
Proceedings of the 6th International Conference for Internet Technology and Secured Transactions, 2011
Proceedings of the European Workshop on Visual Information Processing, 2011
Proceedings of the 2011 Developments in E-systems Engineering, 2011
Proceedings of the 2011 Developments in E-systems Engineering, 2011
Proceedings of the 2011 Developments in E-systems Engineering, 2011
Proceedings of the 2011 Developments in E-systems Engineering, 2011
2009
Novel hybrid classified vector quantization using discrete cosine transform for image compression.
J. Electronic Imaging, 2009
Non-stationary and stationary prediction of financial time series using dynamic ridge polynomial neural network.
Neurocomputing, 2009
Adaptive Classified Vector Quantisation of Non-orthogonal Representations of Images and its Application to Image Compression.
Proceedings of the First International Conference on Computational Intelligence, 2009
2008
The application of ridge polynomial neural network to multi-step ahead financial time series prediction.
Neural Comput. Appl., 2008
Dynamic Ridge Polynomial Neural Networks for multi-step financial time-series prediction.
Int. J. Intell. Syst. Technol. Appl., 2008
Int. J. Artif. Intell. Soft Comput., 2008
Expert Syst. Appl., 2008
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
An Adaptive Hybrid Classified Vector Quantisation and its Application to Image Compression.
Proceedings of the EMS 2008, 2008
2007
How Good Is the Backpropogation Neural Network Using a Self-Organised Network Inspired by Immune Algorithm (SONIA) When Used for Multi-step Financial Time Series Prediction?
Proceedings of the Advances in Neural Networks, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
Proceedings of the International Joint Conference on Neural Networks, 2006
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Higher order neural networks and their applications to financial time series prediction.
Proceedings of the Artificial Intelligence and Soft Computing, 2006
2003