Dhiya Al-Jumeily

According to our database1, Dhiya Al-Jumeily authored at least 138 papers between 1997 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

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

A Novel Approach to Detecting Epistasis using Random Sampling Regularisation.
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

IoT-Enabled Flood Severity Prediction via Ensemble Machine Learning Models.
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

A Systematic Review on Security and Privacy Issues in Mobile Devices and Systems.
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

Dynamic Neural Network for Business and Market Analysis.
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

Age Group Detection in Stochastic Gas Smart Meter Data Using Decision-Tree Learning.
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

Hierarchical Text Clustering and Categorisation Using a Semi-Supervised Framework.
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

Review of Medical Simulation Training for Endovascular Thrombectomy.
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

IoT-Fog Optimal Workload via Fog Offloading.
Proceedings of the 2018 IEEE/ACM International Conference on Utility and Cloud Computing Companion, 2018

Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Machine Learning Techniques for Classification of Livestock Behavior.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

GreeAODV: An Energy Efficient Routing Protocol for Vehicular Ad Hoc Networks.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Classification of Foetal Distress and Hypoxia Using Machine Learning Approaches.
Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Smart Home Systems Security.
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

The Development of an Arches Resource Model for Recording Radiocarbon Information.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Application of Learning Analytics in Higher Educational Institutions.
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

Data Science to Improve Patient Management System.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

H-Diary: Mobile Application for Headache Diary and Remote Patient Monitoring.
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

Forecasting Natural Events Using Axonal Delay.
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

A machine learning approach to measure and monitor physical activity in children.
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

A robust method for the interpretation of genomic data.
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

An Intelligent Systems Approach to Primary Headache Diagnosis.
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

The FL-SMIA Network: A Novel Architecture for Time Series Prediction.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

Recurrent Neural Network Architectures for Analysing Biomedical Data Sets.
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

Impacts and Benefits of Health Informatics in Saudi Arabia: A Weblink Pilot Project.
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

A Robust Spatially Invariant Model for Latent Fingerprint Authentication Approach.
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

Partially Synthesised Dataset to Improve Prediction Accuracy.
Proceedings of the Intelligent Computing Theories and Application, 2016

Evaluation of scalability and communication in MMOGs.
Proceedings of the 13th IEEE Annual Consumer Communications & Networking Conference, 2016

2015
Educational crowdsourcing to support the learning of computer programming.
Res. Pract. Technol. Enhanc. Learn., 2015

Using adaptive neural networks to provide self-healing autonomic software.
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

Hybrid Neural Network Predictive-Wavelet Image Compression System.
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

A dynamic cost-centric risk impact metrics development.
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

Methods and techniques to support the development of fraud detection system.
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

Survey of solutions for Peer-to-Peer MMOGs.
Proceedings of the International Conference on Computing, Networking and Communications, 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
Adaptive Pipelined Neural Network Structure in Self-aware Internet of Things.
Proceedings of the Big Data and Internet of Things: A Roadmap for Smart Environments, 2014

Block Matching Algorithms for Motion Estimation - A Comparison Study.
Proceedings of the Advances in Signal Processing and Intelligent Recognition Systems, 2014

An Advanced Machine Learning Approach to Generalised Epileptic Seizure Detection.
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

Early Detection Method of Alzheimer's Disease Using EEG Signals.
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

A Technology Acceptance Model for a User-Centred Culturally-Aware E-Health Design.
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

A Framework to Support E-Commerce Development for People with Visual Impairment.
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

Assessing the Impact of Web-Based Technology on Learning Styles in Education.
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

Social Aspects for Opportunistic Communication.
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

Mean Predictive Block Matching (MPBM) for fast block-matching motion estimation.
Proceedings of the European Workshop on Visual Information Processing, 2011

Region-Adaptive Watermarking System and Its Application.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Development of a Power Saving Framework for Use in Large Campus Networks.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Hybrid Predictive, Wavelet and Arithmetic (HPWA) Image Coding System.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

MoHTAM: A Technology Acceptance Model for Mobile Health Applications.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

An Integrated Web-Based e-Assessment Tool.
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

How Does ICT Affect Teachings and Learning within School Education.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Autonomic Computing: Applications of Self-Healing Systems.
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

Research 2.0: e-Learning Support Framework to Assist Research Degree Programmes.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Enhanced Computation Time for Fast Block Matching Algorithm.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
Assurance Support for Full Adaptive Service Based Applications.
Proceedings of the 12th UKSim, 2010

2009
Novel hybrid classified vector quantization using discrete cosine transform for image compression.
J. Electronic Imaging, 2009

Process-Oriented E-government Application Development.
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

Physical time series prediction using Recurrent Pi-Sigma Neural Networks.
Int. J. Artif. Intell. Soft Comput., 2008

An adaptive hybrid image compression method and its application to medical images.
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

An Engineering Research and Development Extranet Design Approach.
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

Dynamic Ridge Polynomial Neural Networks in Exchange Rates Time Series Forecasting.
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
Designing an interface on the Web for an intelligent tutoring system.
Proceedings of the 23rd EUROMICRO Conference '97, 1997


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