Abir Jaafar Hussain

According to our database1, Abir Jaafar Hussain authored at least 159 papers between 2003 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

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

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

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

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

Students Performance Prediction in Online Courses Using Machine Learning Algorithms.
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

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

A survey on video compression fast block matching algorithms.
Neurocomputing, 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

Dynamic Neural Network for Business and Market Analysis.
Proceedings of the Intelligent Computing Theories and Application, 2019

Data Science Approaches for the Analysis of Animal Behaviours.
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

The Implementation of Pretrained AlexNet on PCG Classification.
Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

A Perspective on Education to Support Industry 4.0: A Qualitative Case Study in UK.
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

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
Image compression techniques: A survey in lossless and lossy algorithms.
Neurocomputing, 2018

A self-organising multi-agent system for decentralised forensic investigations.
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

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

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

I-MMST: A New Task Scheduling Algorithm in Cloud Computing.
Proceedings of the Intelligent Computing Theories and Application, 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

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

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

Prediction of Parkinson Disease Using Gait Signals.
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

Forecasting Natural Events Using Axonal Delay.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Predicting Freezing of Gait in Parkinsons Disease Patients Using Machine Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

Predicting Diabetes Onset: An Ensemble Supervised Learning Approach.
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

A machine learning approach to measure and monitor physical activity in children.
Neurocomputing, 2017

Preventing and detecting cache side-channel attacks in cloud computing.
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

Multi-agent systems for scalable internet of things security.
Proceedings of the Second International Conference on Internet of things and Cloud Computing, 2017

Machine learning approaches for extracting genetic medical data information.
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

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

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

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

Recurrent Neural Network Architectures for Analysing Biomedical Data Sets.
Proceedings of the 10th International Conference on Developments in eSystems Engineering, 2017

Selecting Scalable Network Features for Infiltration Detection.
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

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

Multi-agent Systems for Dynamic Forensic Investigation.
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

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

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

Forecasting Weather Signals Using a Polychronous Spiking Neural Network.
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

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
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

Prediction of Physical Time Series Using Spiking Neural Networks.
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

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

Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births.
Proceedings of the Eighth International Conference on Complex, 2014

2013
Spiking neural networks for financial data prediction.
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

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

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

Hybrid Predictive, Wavelet and Arithmetic (HPWA) Image Coding System.
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

Enhanced Computation Time for Fast Block Matching Algorithm.
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

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

Financial time series prediction using polynomial pipelined neural networks.
Expert Syst. Appl., 2008

Application of Polynomial Neural Networks to Exchange Rate Forecasting.
Proceedings of the Eighth International Conference on Intelligent Systems Design and Applications, 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 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
Application of Ridge Polynomial Neural Networks to Financial Time Series Prediction.
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
Recurrent pi-sigma networks for DPCM image coding.
Neurocomputing, 2003


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