Paul Fergus

Orcid: 0000-0002-7070-4447

Affiliations:
  • Liverpool John Moores University, UK


According to our database1, Paul Fergus authored at least 134 papers between 2003 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
Harnessing Artificial Intelligence for Wildlife Conservation.
CoRR, 2024

Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network.
IEEE Access, 2024

2023
Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps.
Remote. Sens., 2023

Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning.
Remote. Sens., 2023

Pressure Ulcer Categorization and Reporting in Domiciliary Settings Using Deep Learning and Mobile Devices: A Clinical Trial to Evaluate End-to-End Performance.
IEEE Access, 2023

2022
Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation.
IEEE Trans. Emerg. Top. Comput., 2022

Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning.
Sensors, 2022

Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors.
Sensors, 2022

Pressure Ulcer Categorisation using Deep Learning: A Clinical Trial to Evaluate Model Performance.
CoRR, 2022

Choosing an Appropriate Platform and Workflow for Processing Camera Trap Data using Artificial Intelligence.
CoRR, 2022

The Categorical Data Conundrum: Heuristics for Classification Problems - A Case Study on Domestic Fire Injuries.
IEEE Access, 2022

Applied Deep Learning - Tools, Techniques, and Implementation
Springer, ISBN: 978-3-031-04419-9, 2022

2021
Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection.
Sensors, 2021

Real-Time Predictive Maintenance using Autoencoder Reconstruction and Anomaly Detection.
CoRR, 2021

Misper-Bayes: A Bayesian Network Model for Missing Person Investigations.
IEEE Access, 2021

Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Utilizing Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

BMI: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters.
CoRR, 2020

SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity.
IEEE Access, 2020

Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Deep Learning and Genome-Wide Association Studies for the Classification of Type 2 Diabetes.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna.
Sensors, 2019

Conservation AI: Live Stream Analysis for the Detection of Endangered Species Using Convolutional Neural Networks and Drone Technology.
CoRR, 2019

Identifying behavioural changes for health monitoring applications using the advanced metering infrastructure.
Behav. Inf. Technol., 2019

A Novel Gesomin Detection Method Based on Microwave Spectroscopy.
Proceedings of the 12th International Conference on Developments in eSystems Engineering, 2019

2018
Extracting Epistatic Interactions in Type 2 Diabetes Genome-Wide Data Using Stacked Autoencoder.
CoRR, 2018

Collaborative Pressure Ulcer Prevention: An Automated Skin Damage and Pressure Ulcer Assessment Tool for Nursing Professionals, Patients, Family Members and Carers.
CoRR, 2018

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
CoRR, 2018

Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women.
CoRR, 2018

Machine learning ensemble modelling to classify caesarean section and vaginal delivery types using Cardiotocography traces.
Comput. Biol. Medicine, 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

Requirements of an Underwater Sensor-Networking Platform for Environmental Monitoring.
Proceedings of the 11th International Conference on Developments in eSystems Engineering, 2018

Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 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

Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 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

Machine learning approaches for the prediction of obesity using publicly available genetic profiles.
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

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

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

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

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

A Smart Health Monitoring Technology.
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

A Support Network for Distributed Systems.
Proceedings of the E-Learning and Games - 10th International Conference, 2016

The Effects of Premature Birth on Children Education.
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

Statistical Analysis Methods for Interdependency Communication in Distributed Systems.
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

Critical infrastructure automated immuno-response system (CIAIRS).
Proceedings of the International Conference on Control, 2016

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

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

Knowledge extraction using probabilistic reasoning: An artificial neural network approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Smart meter profiling for health applications.
Proceedings of the 2015 International Joint Conference on Neural Networks, 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

The Impact of Social Media and Its Utilisation by Pharmaceutical Companies.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015

Teaching Primary School Children the Concept of Computer Programming.
Proceedings of the International Conference on Developments of E-Systems Engineering, 2015

An Investigation into Gender Disparities in the Field of Computing.
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

Smart Health Monitoring Using the Advance Metering Infrastructure.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

SMART: An Application Framework for Real Time Big Data Analysis on Heterogeneous Cloud Environments.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Creating human digital memories with the aid of pervasive mobile devices.
Pervasive Mob. Comput., 2014

Protecting critical infrastructures through behavioural observation.
Int. J. Crit. Infrastructures, 2014

Behaviour analysis techniques for supporting critical infrastructure security.
Int. J. Crit. Infrastructures, 2014

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

A Survey of Critical Infrastructure Security.
Proceedings of the Critical Infrastructure Protection VIII, 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

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

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

Big Data Analysis Techniques for Cyber-threat Detection in Critical Infrastructures.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

The Big Data Obstacle of Lifelogging.
Proceedings of the 28th International Conference on Advanced Information Networking and Applications Workshops, 2014

2013
Exploiting linked data to create rich human digital memories.
Comput. Commun., 2013

Creating human digital memories for a richer recall of life experiences.
Proceedings of 10th IEEE International Conference on Networking, Sensing and Control, 2013

Behavioural Observation for Critical Infrastructure Security Support.
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 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

M2M Rendezvous Redundancy for the Internet of Things.
Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

A Machine Learning Algorithm for Searching Vectorised RDF Data.
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops, 2013

2012
Capturing and sharing human digital memories with the aid of ubiquitous Peer-to-Peer mobile services.
Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications, 2012

Managing critical infrastructures through behavioural observation.
Proceedings of the 3rd IEEE International Conference on Networked Embedded Systems for Every Application, 2012

Augmenting human digital memories with physiological data.
Proceedings of the 3rd IEEE International Conference on Networked Embedded Systems for Every Application, 2012

Creating intelligent environments to monitor and manipulate physical activity and sedentary behavior in public health and clinical settings.
Proceedings of IEEE International Conference on Communications, 2012

Remotely monitoring and preventing the development of pressure ulcers with the aid of human digital memories.
Proceedings of IEEE International Conference on Communications, 2012

Operational Support for Critical Infrastructure Security.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012

Monitoring and measuring sedentary behaviour with the aid of human digital memories.
Proceedings of the 2012 IEEE Consumer Communications and Networking Conference (CCNC), 2012

2011
Towards a Whole Body Sensing Platform for Healthcare Applications.
Proceedings of the Whole Body Interaction, 2011

E-Health: The Potential of Linked Data and Stream Reasoning for Personalised Healthcare.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

Expanding Tele-care: Using Motion Sensors for Monitoring Purposes.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

SCCIR: Smart Cities Critical Infrastructure Response Framework.
Proceedings of the 2011 Developments in E-systems Engineering, 2011

2010
Forensic investigation of peer-to-peer networks.
Netw. Secur., 2010

Visualisation of Ubiquitous Home Devices and Services.
Proceedings of the 7th IEEE Consumer Communications and Networking Conference, 2010

A Wireless Home and Body Sensor Network Platform for the Early Detection of Arthritis.
Proceedings of the 7th IEEE Consumer Communications and Networking Conference, 2010

Peer-to-Peer Overlay Gateway Services for Home Automation and Management.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2010

Body Area Networks for Movement Analysis in Physiotherapy Treatments.
Proceedings of the 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, 2010

2009
A framework for physical health improvement using Wireless Sensor Networks and gaming.
Proceedings of the 3rd International Conference on Pervasive Computing Technologies for Healthcare, 2009

Remote physiotherapy treatments using wireless body sensor networks.
Proceedings of the International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly, 2009

Towards an Advanced Framework for Whole Body Interaction.
Proceedings of the Virtual and Mixed Reality, 2009

Whole body interaction.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

A Hierarchically Structured Worldwide Sensor Web Architecture.
Proceedings of the 23rd International Conference on Advanced Information Networking and Applications, 2009

2008
Managing Distributed Networked Appliances in Home Networks.
Proc. IEEE, 2008

Virtual Environments with Content Sharing.
Proceedings of the Technologies for E-Learning and Digital Entertainment, 2008

Perceptual User Interface as Games Controller.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

Networked Appliances: Manipulation of 3D Multimedia Streams.
Proceedings of the 5th IEEE Consumer Communications and Networking Conference, 2008

2007
Ad Hoc Gateway Service for Automatic Package Delivery using Networked Appliances.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2007

Networked Appliances for Home Healthcare and Lifestyle Management.
Proceedings of the Home Networking, 2007

Bridging the Gap between Networked Appliances and Virtual Worlds.
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007

2006
Dynamic service composition in home appliance networks.
Multim. Tools Appl., 2006

2005
A framework for self-adaptive networked appliances.
PhD thesis, 2005

A semantic framework for self-adaptive networked appliances.
Proceedings of the 2nd IEEE Consumer Communications and Networking Conference, 2005

2004
Implicit functionality: dynamic services composition for home networked appliances.
Proceedings of IEEE International Conference on Communications, 2004

2003
DiSUS: Mobile Ad Hoc Network Unstructured Services.
Proceedings of the Personal Wireless Communications, IFIP-TC6 8th International Conference, 2003


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