Dhiya Al-Jumeily
Orcid: 0000-0002-9170-0568
According to our database1,
Dhiya Al-Jumeily
authored at least 215 papers
between 1997 and 2024.
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Bibliography
2024
A Review on the Evaluation of Feature Selection Using Machine Learning for Cyber-Attack Detection in Smart Grid.
IEEE Access, 2024
A generative approach to Electrical Impedance Tomography image reconstruction using prior information.
Proceedings of the 31st International Conference on Systems, Signals and Image Processing, 2024
2023
Neurocomputing, December, 2023
Medical Biol. Eng. Comput., September, 2023
Evaluation of 5G and Fixed-Satellite Service Earth Station (FSS-ES) Downlink Interference Based on Artificial Neural Network Learning Models (ANN-LMS).
Sensors, July, 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
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
Identification of Diagnostic Biomarkers for Cardiovascular Diseases and Diabetes Mellitus Through Raman Spectroscopy and Machine Learning Algorithms.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Palm-sized Near-Infrared Spectroscopy and Machine Learning Analytics for the Detection of Endogenous Constituents and Drugs in Human Fingernails.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Exploring the authentication of COVID-19 vaccines using Surface-enhanced handheld Raman spectroscopy (SERS) equipped with orbital Raster scattering and machine learning.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Use of Raman and Fourier Transform Infrared Spectroscopy as a Quality Control of 3D printed Linalool Fast Dissolving Oral Films.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Identification of authentic and counterfeit Viagra tablets using near-infrared spectroscopic methods and machine learning algorithms.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Predicting the Effectiveness of 'Stop and Search' Police Interventions Using Advanced Data Analytics.
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Artificial Neural Network Model for Forecasting Haditha Reservoir Inflow in the West of Iraq.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 15th International Conference on Developments in eSystems Engineering, 2023
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Task Scheduling in IoT Cloud-Fog Environment Utilising a Hybrid Method and Firefly Algorithm.
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
Proceedings of the 15th 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
Perspectives on industry 4.0 awareness among undergraduate IT students in IRAQ: University of Anbar as a case study.
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
Architecture Design of B5G and 6G Millimeter-Wave Radio Access Network: Using Wireless Communications to Increase Coverage, Capacity and Performance.
Proceedings of the 16th International Conference on Developments in eSystems Engineering, 2023
Application of Deep Learning Algorithms to Terahertz Images for Detection of Concealed Objects.
Proceedings of the Data Science and Emerging Technologies, 2023
Proceedings of the Data Science and Emerging Technologies, 2023
2022
Hybrid Cyber-Security Model for Attacks Detection Based on Deep and Machine Learning.
Int. J. Online Biomed. Eng., August, 2022
Evaluation of 5G Coexistence and Interference Signals in the C-Band Satellite Earth Station.
IEEE Trans. Veh. Technol., 2022
Prediction of the Nitrogen Content of Rice Leaf Using Multi-Spectral Images Based on Hybrid Radial Basis Function Neural Network and Partial Least-Squares Regression.
Sensors, 2022
Sensors, 2022
J. Cloud Comput., 2022
Discov. Internet Things, 2022
Concurr. Comput. Pract. Exp., 2022
IEEE Access, 2022
Brain Tumor and Glioma Grade Classification Using Gaussian Convolutional Neural Network.
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 Intelligent Computing Methodologies - 18th International Conference, 2022
Proceedings of the Intelligent Computing Methodologies - 18th International Conference, 2022
Suicide Ideation Detection: A Comparative Study of Sequential and Transformer Hybrid Algorithms.
Proceedings of the Data Science and Emerging Technologies, 2022
Consumer Behavior Prediction During Covid-19 Pandemic Conditions Using Sentiment Analytics.
Proceedings of the Data Science and Emerging Technologies, 2022
Proceedings of the Data Science and Emerging Technologies, 2022
Proceedings of the Data Science and Emerging Technologies, 2022
Proceedings of the Data Science and Emerging Technologies, 2022
Predicting Disaster Type from Social Media Imagery via Deep Neural Networks Directed by Visual Attention.
Proceedings of the Data Science and Emerging Technologies, 2022
Proceedings of the Data Science and Emerging Technologies, 2022
2021
An Efficient Multi-Cloud Service Composition Using a Distributed Multiagent-Based, Memory-Driven Approach.
IEEE Trans. Sustain. Comput., 2021
Softw. Pract. Exp., 2021
Performance Analysis and Beamforming Design of a Secure Cooperative MISO-NOMA Network.
Sensors, 2021
Smart Application Division and Time Allocation Policy for Computational Offloading in Wireless Powered Mobile Edge Computing.
Mob. Inf. Syst., 2021
A fusion of data science and feed-forward neural network-based modelling of COVID-19 outbreak forecasting in IRAQ.
J. Biomed. Informatics, 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
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
Lossy and Lossless Video Frame Compression: A Novel Approach for High-Temporal Video Data Analytics.
Remote. Sens., 2020
Correction to: Implementation of machine learning algorithms to create diabetic patient re-admission profiles.
BMC Medical Informatics Decis. Mak., 2020
Prediction of Flood Severity Level via Processing IoT Sensor Data Using a Data Science Approach.
IEEE Internet Things Mag., 2020
IEEE Access, 2020
An Ensemble Detection Model Using Multinomial Classification of Stochastic Gas Smart Meter Data to Improve Wellbeing Monitoring in Smart Cities.
IEEE Access, 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 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
Boundary Delineation of MRI Images for Lumbar Spinal Stenosis Detection Through Semantic Segmentation Using Deep Neural Networks.
IEEE Access, 2019
Proceedings of the Intelligent Computing Theories and Application, 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
Investigating the Mechanical and Durability Performance of Cement Mortar Incorporated Modified Fly Ash and Ground Granulated Blast Furnace Slag as Cement Replacement Materials.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
Comparing Unsupervised Layers in Neural Networks for Financial Time Series Prediction.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019
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
The Application of Artificial Intelligence Technology in Healthcare: A Systematic Review.
Proceedings of the Applied Computing to Support Industry: Innovation and Technology, 2019
2018
Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
CoRR, 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
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
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018
An Enhanced Neural Network Scheme to Model Pile Load-Deformation Under Uplift Loading.
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
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
Sustainable and Environmental Friendly Ancient Reed Houses (Inspired by the Past to Motivate the Future).
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 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
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
Using aspect oriented programming to enforce privacy preserving communication in distributed systems.
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
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
Association Mapping Approach into Type 2 Diabetes Using Biomarkers and Clinical Data.
Proceedings of the Intelligent Computing Theories and Application, 2017
Dynamic Area of Interest Management for Massively Multiplayer Online Games Using OPNET.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 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
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
Simulation of Massively Multiplayer Online Games communication using OPNET custom application.
Proceedings of the IEEE Symposium on Computers and Communication, 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
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
Simulation of Area of Interest Management for Massively Multiplayer Online Games Using OPNET.
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016
Proceedings of the 13th IEEE Annual Consumer Communications & Networking Conference, 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
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
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 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 Computing, Networking and Communications, 2015
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015
E-Government Implementation and Readiness: A Comparative Study between Saudi Arabia and Republic of Korea.
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
Context-Aware Clinical Knowledge Sharing in Cross-Boundary E-Health: A Conceptual Model.
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 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
2013
Recurrent neural networks inspired by artificial Immune algorithm for time series prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013
A Mobile Multimedia Application Inspired by a Spaced Repetition Algorithm for Assistance with Speech and Language Therapy.
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 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
2012
The Design, Implementation and Evaluation of a Web-based Student Teachers' ePortfolio (STeP).
Int. J. Web Appl., 2012
Proceedings of the 11th International Symposium on Parallel and Distributed Computing, 2012
Does e-Health technology design affect m-Health informatics acceptance? A case study.
Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012
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
Proceedings of the 2011 Developments in E-systems Engineering, 2011
E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare.
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
An Adoptive Technology Acceptance Model within the Oman Secondary System for Geography Teaching and Learning.
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
2010
Proceedings of the 12th UKSim, 2010
2009
Novel hybrid classified vector quantization using discrete cosine transform for image compression.
J. Electronic Imaging, 2009
Proceedings of the UKSim'11, 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
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
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the EMS 2008, 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
Polynomial Pipelined Neural Network and Its Application to Financial Time Series Prediction.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2001
Using Model Tracing Approach to Guide a Student Model for an Intelligent Computer Algebra System.
Proceedings of the 14th International Conference on Applications of Prolog, 2001
1997
Proceedings of the 23rd EUROMICRO Conference '97, 1997