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Article

Thompson, S, Reilly, D, Fergus, P and Chalmers, C (2023) Detection of Obstructive Sleep Apnoea Using Features Extracted From Segmented Time-Series ECG Signals With a One Dimensional Convolutional Neural Network. IEEE Access, 12. pp. 1076-1091.

Fergus, P, Chalmers, C, Henderson, W, Roberts, D and Waraich, A (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, 11. pp. 65138-65152. ISSN 2169-3536

Fergus, P, Chalmers, C, Longmore, SN, Wich, S, Warmenhove, C, Swart, J, Ngongwane, T, Burger, A, Ledgard, J and Meijaard, E (2023) Empowering Wildlife Guardians: An Equitable Digital Stewardship and Reward System for Biodiversity Conservation Using Deep Learning and 3/4G Camera Traps. Remote Sensing, 15 (11). ISSN 2072-4292

Chalmers, C, Fergus, P, Wich, SA, Longmore, SN, Walsh, ND, Stephens, PA, Sutherland, C, Matthews, N, Mudde, J and Nuseibeh, A (2023) Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning. Remote Sensing, 15 (10). p. 2638.

Vélez, J, McShea, W, Shamon, H, Castiblanco-Camacho, PJ, Tabak, MA, Chalmers, C, Fergus, P and Fieberg, J (2022) An evaluation of platforms for processing camera-trap data using artificial intelligence. Methods in Ecology and Evolution, 14 (2). pp. 459-477. ISSN 2041-210X

Westworth, SOA, Chalmers, C, Fergus, P, Longmore, SN, Piel, AK and Wich, SA (2022) Understanding External Influences on Target Detection and Classification Using Camera Trap Images and Machine Learning. Sensors, 22 (14). p. 5386.

Reilly, D, Taylor, M, Fergus, P, Chalmers, C and Thompson, S (2022) The Categorical Data Conundrum: Heuristics for Classification Problems A Case Study on Domestic Fire Injuries. IEEE Access, 10. pp. 70113-70125.

Givnan, S, Chalmers, C, Fergus, P, Ortega-martorell, S and Whalley, T (2022) Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors. Sensors, 22 (9). p. 3166. ISSN 1424-8220

Piel, AK, Crunchant, AS, Knot, IE, Chalmers, C, Fergus, P, Mulero-Pázmány, M and Wich, SA (2021) Noninvasive Technologies for Primate Conservation in the 21st Century. International Journal of Primatology. ISSN 0164-0291

Doull, KE, Chalmers, C, Fergus, P, Longmore, SN, Piel, AK and Wich, SA (2021) An Evaluation of the Factors Affecting 'Poacher' Detection with Drones and the Efficacy of Machine-Learning for Detection. Sensors, 21 (12). ISSN 1424-8220

Ryecroft, S, Shaw, A, Fergus, P, Kot, P, Hashim, KS, Tang, A, Moody, A and Conway, L (2021) An Implementation of a Multi-Hop Underwater Wireless Sensor Network using Bowtie Antenna. Karbala International Journal of Modern Science, 7 (2). ISSN 2405-609X

Chalmers, C, Fergus, P, Curbelo Montañez, CA, Longmore, SN and Wich, SA (2021) Video Analysis for the Detection of Animals Using Convolutional Neural Networks and Consumer-Grade Drones. Journal of Unmanned Vehicle Systems. ISSN 2291-3467

Reilly, D, Taylor, MJ, Fergus, P, Chalmers, C and Thompson, S (2021) Misper-Bayes: A Bayesian Network Model for Missing Person Investigations. IEEE Access, 9. pp. 49990-50000. ISSN 2169-3536

Fergus, P, Chalmers, C, Montañez, CC, Reilly, D, Lisboa, P and Pineles, B (2020) Modelling Segmented Cardiotocography Time-Series Signals Using One-Dimensional Convolutional Neural Networks for the Early Detection of Abnormal Birth Outcomes. IEEE Transactions on Emerging Topics in Computational Intelligence. ISSN 2471-285X

Montenaz, C, Fergus, P, Chalmers, C, Malim, N, Abdulaimma, B, Reilly, D and falciani, F (2020) SAERMA: Stacked Autoencoder Rule Mining Algorithm for the Interpretation of Epistatic Interactions in GWAS for Extreme Obesity. IEEE Access. ISSN 2169-3536

Chalmers, C, Fergus, P, Curbelo Montanez, A, Sikdar, S, Ball, F and Bryoney, K (2020) Detecting Activities of Daily Living and Routine Behaviours in Dementia Patients Living Alone Using Smart Meter Load Disaggregation. IEEE Transactions on Emerging Topics in Computing, 10 (1). pp. 157-169. ISSN 2168-6750

Ryecroft, S, Shaw, A, Fergus, P, Kot, P, Hashim, KS, Moody, A and Conway, L (2019) A First Implementation of Underwater Communications in Raw Water Using the 433 MHz Frequency Combined with a Bowtie Antenna. Sensors, 19 (8). ISSN 1424-8220

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2019) Identifying Behavioural Changes for Health Monitoring Applications using the Advanced Metering Infrastructure. Behaviour and Information Technology. ISSN 1362-3001

Fergus, P, Montanez, C, Abdulaimma, B, Lisboa, P, Chalmers, C and Pineless, B (2018) Utilising Deep Learning and Genome Wide Association Studies for Epistatic-Driven Preterm Birth Classification in African-American Women. IEEE/ACM Transactions on Computational Biology and Bioinformatics. ISSN 1545-5963

Fergus, P, Selvaraj, M and Chalmers, C (2017) Machine learning Ensemble Modelling to classify caesarean section and vaginal delivery types using cardiotocography traces. Computers in Biology and Medicine, 93 (1). pp. 7-16. ISSN 0010-4825

Fergus, P, Hussain, A, Al-Jumeily, D, Huang, D and Bouguila, N (2017) Classification of Caesarean Section and Normal Vaginal Deliveries Using Foetal Heart Rate Signals and Advanced Machine Learning Algorithms. BioMedical Engineering OnLine, 16 (89). ISSN 1475-925X

Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Fergus, P, Keenan, R and Tso, P (2017) Machine Learning approaches to the application of Disease Modifying Therapy for Sickle Cell using Classification Models. NEUROCOMPUTING, 228. pp. 154-164. ISSN 0925-2312

Fergus, P, Hussain, A, Al-Jumeily, D, Kaky, A and Lunn, J (2016) A Data Science and Machine Learning Approach to Measure and Monitor Physical Activity in Children. Neurocomputing, 228. pp. 220-230. ISSN 1872-8286

Al-Jumeily, D, Hussain, A, Abuelmaatti, O, Fergus, P and Lunn, J (2016) An open learning system for special needs education. Knowledge Management & E-Learning: An International Journal, 8 (1). pp. 68-85. ISSN 2073-7904

Fergus, P, Hussain, A, Al-Jumeily, D, Idowu, IO and Al-Askar, H (2015) Advanced Artificial Neural Network Classification for Detecting Preterm Births Using EHG Records. NEUROCOMPUTING. ISSN 0925-2312

Fergus, P, Hussain, A, Hearty, J, Fairclough, SJ, Boddy, LM, Mackintosh, KA, Stratton, G, Ridgers, ND and Radi, N (2015) A Machine Learning Approach to Measure and Monitor Physical Activity in Children to Help Fight Overweight and Obesity. Intelligent Computing Theories and Methodologies, 9226. pp. 676-688. ISSN 0302-9743

Fergus, P, Hussain, A, Al-Jumeily, D and Radi, N (2015) A position paper on predicting the onset of nocturnal enuresis using advanced machine learning. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9226. pp. 689-700. ISSN 0302-9743

Hussain, A, Fergus, P, Al-Askar, H, Al-Jumeily, D and Jager, F (2015) Dynamic neural network architecture inspired by the immune algorithm to predict preterm deliveries in pregnant women. NEUROCOMPUTING, 151. pp. 963-974. ISSN 0925-2312

Fergus, P, Hussain, A, Hignett, D, Al-Jumeily, D, Abdel-Aziz, K and Hamdan, H (2015) A machine learning system for automated whole-brain seizure detection. Applied Computing and Informatics. ISSN 2210-8327

Fergus, P, Hussain, A and Al-Jumeily, D (2015) A Machine Learning System for Automatic Detection of Preterm Activity Using Artificial Neural Networks and Uterine Electromyography Data. International Journal of Adaptive and Innovative Systems, 2 (2). pp. 161-179. ISSN 1740-2115

Fergus, P, Hignett, D, Hussain, A, Al-Jumeily, D and Abdel-Aziz, K (2015) Automatic Epileptic Seizure Detection Using Scalp EEG and Advanced Artificial Intelligence Techniques. BIOMED RESEARCH INTERNATIONAL, 2015. pp. 1-17. ISSN 2314-6133

Al-Jumeily, D, Iram, S, Vialatte, FB, Fergus, P and Hussain, A (2015) A novel method of early diagnosis of Alzheimer's disease based on EEG signals. ScientificWorld Journal, 2015. ISSN 2356-6140

Fergus, P, Hussain, A and Al-Jumeily, D (2014) A Smart Framework for Predicting the Onset of Nocturnal Enuresis (PrONE) in Children and Young People. International Journal of Engineering and Technical Research, 2 (11). pp. 372-379. ISSN 2321-0869

Hurst, W, Merabti, M and Fergus, P (2014) Behaviour analysis techniques for supporting critical infrastructure security. International Journal of Critical Infrastructures, 10 (3-4). ISSN 1475-3219

Fergus, P, Idowu, IO, Hussain, A, Dobbins, C and Al-Askar, H (2014) Evaluation of advanced artificial neural network classification and feature extraction techniques for detecting preterm births using ehg records. Intelligent Computing in Bioinformatics: Lecture Notes in Computer Science, 8590. pp. 309-314. ISSN 0302-9743

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2014) Creating human digital memories with the aid of pervasive mobile devices. PERVASIVE AND MOBILE COMPUTING, 12. pp. 160-178. ISSN 1574-1192

Fergus, P, Cheung, P, Hussain, A, Al-Jumeily, D, Dobbins, C and Iram, S (2013) Prediction of Preterm Deliveries from EHG Signals Using Machine Learning. PLOS ONE, 8 (10). ISSN 1932-6203

Dobbins, C, Merabti, M, Fergus, P, Llewellyn-Jones, D and Bouhafs, F (2013) Exploiting linked data to create rich human digital memories. COMPUTER COMMUNICATIONS, 36 (15-16). pp. 1639-1656. ISSN 0140-3664

Dobbins, C, Fergus, P, Stratton, G, Rosenberg, M and Merabti, M (2013) Monitoring and Reducing Sedentary Behavior in the Elderly with the Aid of Human Digital Memories. TELEMEDICINE AND E-HEALTH, 19 (3). pp. 173-185. ISSN 1530-5627

Book Section

Fergus, P and Chalmers, C (2021) Energy Sobriety: A Behavior Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. In: Towards Energy Smart Homes: Algorithms, Technologies and Applications. Springer, pp. 21-47. ISBN 978-3-030-76476-0

Chalmers, C and Fergus, P (2021) Energy Sobriety: A Behaviour Measurement Indicator for Fuel Poverty Using Aggregated Load Readings from Smart Meters. In: Towards Energy Smart Homes Algorithms, Technologies, and Applications. Springer Nature, pp. 21-47. ISBN 9783030764777

Conference or Workshop Item

Reed-Jones, J, Marsland, J, Ellis, D, Fergus, P and Jones, K (2023) Early vs Late Fusion in Binaural Sound Source Localisation using CNN. In: International Conference on Intelligent Systems and New Applications (ICISNA'23) Proceedings Book . (International Conference on Intelligent Systems and New Applications (ICISNA'23), Liverpool, UK).

Chalmers, C, Fergus, P, Wich, SA and Longmore, SN (2021) Modelling Animal Biodiversity Using Acoustic Monitoring and Deep Learning. In: International Joint Conference on Neural Networks . (International Joint Conference on Neural Networks Virtual Event, 18-22 July 2021, Virtual Event).

Curbelo Montañez, CA, Fergus, P, Montañez, AC, Hussain, A, Al-Jumeily, D and Chalmers, C (2018) Deep Learning Classification of Polygenic Obesity using Genome Wide Association Study SNPs. In: 2018 International Joint Conference on Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 8th - 13th July 2018, Rio de Janeiro, Brazil).

Al-Kafri, AS, Sudirman, S, Hussain, AJ, Al-Jumeily, D, Fergus, P, Natalia, F, Meidia, H, Afriliana, N, Sophian, A, Al-Jumaily, M, Al-Rashdan, W and Bashtawi, M (2018) Segmentation of Lumbar Spine MRI Images for Stenosis Detection using Patch-based Pixel Classification Neural Network. In: 2018 IEEE Congress on Evolutionary Computation (CEC) . (IEEE Congress on Evolutionary Computation (IEEE CEC) as part of the IEEE World Congress on Computational Intelligence (IEEE WCCI), 08 July 2018 - 13 July 2018, Rio de Janeiro, BRAZIL).

Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D (2017) Machine Learning Approaches for the Prediction of Obesity using Publicly Available Genetic Profiles. In: Neural Networks (IJCNN) . (2017 International Joint Conference on Neural Network, 14 May 2017 - 19 May 2017, Anchorage, Alaska, USA).

Aljaaf, A, Hussain, A, Fergus, P, Przybyla, A and Barton, GJ (2016) Evaluation of Machine Learning Methods to Predict Knee Loading from the Movement of Body Segments. In: Neural Networks (IJCNN) . (IEEE World Congress on Computational Intelligence, 24 July 2016 - 29 July 2016, Canada).

Badri, S, Fergus, P and Hurst, W (2016) A Cyber-Support System for Distributed Infrastructures. In: EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence . pp. 23-28. (The Eighth International Conference on Emerging Networks and Systems Intelligence, 09 October 2016 - 12 October 2016, Venice, Italy).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2016) Smart Monitoring: An Intelligent System to Facilitate Health Care across an Ageing Population. In: EMERGING 2016: The Eighth International Conference on Emerging Networks and Systems Intelligence . pp. 34-39. (The Eighth International Conference on Emerging Networks and Systems Intelligence, 09 October 2016 - 12 October 2016, Venice, Italy).

Francis, H, Hussain, A, Connell, L, Al-Jumeily, D, Fergus, P, Lunn, J and Radi, N (2016) An Investigation into Gender Disparities in the Field of Computing. In: 2015 International Conference on Developments of E-Systems Engineering . pp. 20-25. (8th International Conference on Developments in eSystems Engineering, 13th-14th December 2015, Abu Dhabi, United Arab Emirates).

Aljaaf, A, Al-Jumeily, D, Hussain, A, Fergus, P, al-jumaily, M and Hamdan, H (2016) Partially Synthesised Dataset to Improve Prediction Accuracy (Case Study: Prediction of Heart Diseases). In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 855-866. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Khalaf, M, Hussain, A, Al-Jumeily, D, Keight, R, Keenan, R, Fergus, P, AlAskar, H, Shaw, A and Olatunji, I (2016) Training Neural networks for Experimental models: Classifying Biomedical Datasets for Sickle Cell Disease. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 784-795. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

McWhirter, PR, Wright, S, Steele, IA, Al-Jumeily, D, Hussain, A and Fergus, P (2016) A Dynamic, Modular Intelligent-Agent framework for Astronomical Light Curve Analysis and Classification. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 820-831. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Al Kafri, A, Sudirman, S, Hussain, A, Fergus, P, Al-Jumeily, D, Al-Jumaily, M and Alaskar, H (2016) A Framework on A Computer Assisted and Systematic Methodology for Detection of Chronic Lower Back Pain using Artificial Intelligence and Computer Graphics Technologies. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 843-854. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Aday Curbelo Montañez, C, Fergus, P, Hussain, A, Al-Jumeily, D, Abdulaimma, B and Al-askar, H (2016) A Genetic Analytics Approach for Risk Variant Identification to Support Intervention Strategies for People Susceptible to Polygenic Obesity and Overweigh. In: Intelligent Computing Theories and Application: Lecture Notes in Computer Science , 9771. pp. 808-819. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2016) A Smart Health Monitoring Technology. In: Lecture Notes in Computer Science: Intelligent Computing Theories and Application , 9771. pp. 832-842. (2016 International Conference on Intelligent Computation, 02 August 2016 - 05 August 2016, Lanzhou,China).

Badri, S, Fergus, P and Hurst, W (2016) A Support Network for Distributed Systems. In: Lecture Notes in Computer Science (9654). pp. 318-330. (The 10th International Conference on E-Learning and Games, 15th-17th April 2016, Hangzhou, Zhejiang Province, China).

Alloghani, MAMA, Hussain, A, Al-Jumeily, D, Fergus, P, Abuelma'atti, O and Hamdan, H (2016) A Mobile Health Monitoring Application for Obesity Management and Control Using the Internet-of-Things 1Mohamed. In: Digital Information Processing and Communications (ICDIPC), . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

Khalaf, M, Hussain, A, Keight, R, Al-Jumeily, D, Keenan, R, Fergus, P and Idowu, IO (2016) The Utilisiation of composite Machine Learning models for the Classification of Medical Datasets For Sickle Cell Disease. In: 2016 Sixth International Conference on Digital Information Processing and Communications (ICDIPC) . (Sixth International Conference on Digital Information Processing and Communications (ICDIPC), 21 April 2016 - 23 April 2016, Lebanon).

Idowu, IO, Fergus, P, Hussain, A, Dobbins, C, Khalaf, M, Casana Eslava, R and Keight, R (2015) Artificial Intelligence for Detecting Preterm Uterine Activity in Gynacology and Obstertric Care. In: 2015 IEEE International Conference on Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM) . pp. 215-220. (15th IEEE International Conference on Computer and Information Technology (CIT’15), 26 October 2015 - 28 October 2015, Liverpool, UK).

Khalaf, M, Hussain, A, Al-Jumeily, D, Fergus, P, Keenan, R and Radi, N (2015) A Framework to Support Ubiquitous Healthcare Monitoring and Diagnostic for Sickle Cell Disease. In: Intelligent Computing Theories and Methodologies: Lecture Notes in Computer Science , 9226. (International Conference on Intelligent Computation, 20 August 2015 - 23 April 2016, Fuzhou, China).

Dobbins, C and Fergus, P (2015) Knowledge Extraction Using Probabilistic Reasoning: An Artificial Neural Network Approach. In: Neural Networks (IJCNN), 2015 International Joint Conference on . pp. 1-8. (International Joint Conference on Neural Networks (IJCNN), 12 July 2015 - 17 July 2015, Killarney, Ireland).

Chalmers, C, Hurst, W, MacKay, M and Fergus, P (2015) Profiling Users in the Smart Grid. In: Emerging 2015: The Seventh International Conference on Emerging Neworks and Systems Intelligence . (EMERGING 2015: Seventh International Conference on Emerging Networks and Systems Intelliegence, 19th - 24th July 2015, Nice, France).

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2015) A User-Centred Approach to Reducing Sedentary Behaviour. In: 2014 IEEE 11th Annual Consumer Communications & Networking Conference (CCNC’14) . pp. 1-6. (11th Annual IEEE Consumer Communications & Networking Conference (CCNC’14), 10th - 13th January 2014, Las Vegas, NV, USA).

Chalmers, C, Hurst, W, Fergus, P and MacKay, M (2015) Smart Meter Profiling for Health Applications. In: 2015 International Joint Conference on Neural Networks (IJCNN) . (2015 International Joint Conference on Neural Networks (IJCNN), 12th - 17th Jul 2015, Killarney, Ireland).

Aljaaf, AJ, Al-Jumeily, D, Hussain, A, Fergus, P, Dawson, T and Al-Jumaily, M (2015) Predicting the likelihood of heart failure with a multi level risk assessment using decision tree. In: 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE) . pp. 101-106. (3rd International Conference on Technological Advances in Electrical, Electronics and Computer Engineering, TAEECE 2015, 29th April - 1st May 2015, Beirut, Lebanon).

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2014) The Big Data Obstacle of Lifelogging. In: 2014 28th International Conference on Advanced Information Networking and Applications Workshops (WAINA) . (28th IEEE International Conference on Advanced Information Networking and Applications Workshops (WAINA’14), 13 May 2014 - 16 May 2014, BC, Canada).

Idowu, IO, Fergus, P, Hussain, A, Dobbins, C and Al-Askar, H (2014) Advance Artificial Neural Network Classification Techniques Using EHG for Detecting Preterm Births. In: 2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS), . (8th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), 02 July 2014 - 04 July 2014, Birmingham City Univ, Birmingham, UNITED KINGDOM).

Iram, S, Al-Jumeily, D, Fergus, P and Hussain, A (2014) Exploring the Hidden Challenges Associated with the Evaluation of Multi-class Datasets using Multiple Classifiers. In: 2014 EIGHTH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS (CISIS), . (8th International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), 02 July 2014 - 04 July 2014, Birmingham City Univ, Birmingham, UNITED KINGDOM).

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2013) Creating Human Digital Memories for a Richer Recall of Life Experiences. In: 2013 10TH IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL (ICNSC) . (10th IEEE International Conference on Networking, Sensing and Control (ICNSC), 10 April 2013 - 12 April 2013, Evry Val Essonne Univ, FRANCE).

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2013) Augmenting Human Digital Memories with Physiological Data. In: 2012 IEEE 3RD INTERNATIONAL CONFERENCE ON NETWORKED EMBEDDED SYSTEMS FOR EVERY APPLICATION (NESEA) . (IEEE 3rd International Conference on Networked Embedded Systems for Every Application (NESEA), 13 December 2012 - 14 December 2012, Liverpool, ENGLAND).

Dobbins, C, Fergus, P, Merabti, M and Llewellyn-Jones, D (2012) Remotely Monitoring and Preventing the Development of Pressure Ulcers with the Aid of Human Digital Memories. In: 2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC) . (IEEE International Conference on Communications (ICC), 10 June 2012 - 15 June 2012, Ottawa, CANADA).

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2012) Capturing and Sharing Human Digital Memories with the Aid of Ubiquitous Peer– to–Peer Mobile Services. In: 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) . (10th Annual IEEE International Conference on Pervasive Computing and Communications (PerCom’12), 19th - 23rd March 2012, Lugano, Switzerland).

Dobbins, C, Fergus, P, Merabti, M and Llewellyn-Jones, D (2012) Monitoring and Measuring Sedentary Behaviour with the Aid of Human Digital Memories. In: 2012 IEEE CONSUMER COMMUNICATIONS AND NETWORKING CONFERENCE (CCNC) . (IEEE Consumer Communications and Networking Conference (CCNC), 14 January 2012 - 17 January 2012, Las Vegas, NV).

Dobbins, C, Merabti, M, Fergus, P and Llewellyn-Jones, D (2011) Towards a Framework for Capturing and Distributing Rich Interactive Human Digital Memories. In: 12th Annual PostGraduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting (PGNet’11) . (12th Annual PostGraduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting (PGNet’11), 27 June 2011 - 28 June 2011, Liverpool, UK).

Fergus, P, Llewellyn-Jones, D, Merabti, M and El Rhalibi, A (2007) Bridging the gap between networked appliances and virtual worlds. In: 21st International Conference on Advanced Information Networking and Applications Workshops 2007, AINAW '07, 21-23 May 2007, Niagara Falls, Ont..

Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D Analysis of Extremely Obese Individuals Using Deep Learning Stacked Autoencoders and Genome-Wide Genetic Data. In: 2018 International Conference on Intelligent Computing (ICIC), 15th - 18th August 2018, Wuhan, China.. (Accepted)

Hussain, A, Abdulaimma, B, Fergus, P, Al-Jumeily, D, Aday Curbelo Montañez, C, Hind, J and Radi, N Association Mapping Approach into Type 2 Diabetes using Biomarkers and Clinical Data. In: International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK. (Accepted)

Badri, S, Fergus, P and Hurst, W Critical Infrastructure Automated Immuno-Response System (CIAIRS). In: The 3rd International Conference on Control, Decision and Information Technologies, 06 April 2016 - 08 April 2016, Malta. (Accepted)

Khalaf, M, Hussain, A, Al-Jumeily, D, Baker, T, Keight, R, Lisboa, P, Alkafri, A and Fergus, P A Data Science Methodology Based on Machine Learning Algorithms for Flood Severity Prediction. In: IEEE Congress on Evolutionary Computation, 08 July 2018 - 13 July 2018, Brazil. (Accepted)

Thompson, S, Fergus, P, Chalmers, C and Reilly, D Detection of Obstructive Sleep Apnoea Using Features Extracted from Segmented Time-Series ECG Signals Using a One Dimensional Convolutional Neural Network. In: IEEE Explore . (IEEE World Congress on Computational Intelligence (WCCI) 2020, 19-24th July 2020, Virtual Online Conference). (Accepted)

Curbelo Montañez, CA, Fergus, P, Hussain, A and Al-Jumeily, D Evaluation of Phenotype Classification Methods for Obesity using Direct to Consumer Genetic Data. In: Lecture Notes in Computer Science . (2017 International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK). (Accepted)

Abdulaimma, B, Hussain, A, Fergus, P, Al-Jumeily, D, Lisboa, P, Huang, D-S and Radi, N Improving Type 2 Diabetes Phenotypic Classification by Combining Genetics and Conventional Risk Factors. In: 2018 IEEE Congress on Evolutionary Computation (IEEE CEC 2018), 08 July 2018 - 13 April 2018, Brazil. (Accepted)

Al-kafri, A, Sudirman, S, Hussain, A, Al-Jumeily, D, Al-Jumaily, M, Al-Rashdan, W, Bashtawi, M and Fergus, P Lumbar Spine Discs Labeling using Axial View MRI Based on the Pixels Coordinate and Gray Level Features. In: Lecture Notes in Computer Science . (2017 International Conference on Intelligent Computing, 07 August 2017 - 10 August 2017, Liverpool, UK). (Accepted)

Ryecroft, S, Shaw, A, Fergus, P, Kot, P, Hashim, KS, Conway, L and Moody, A A Novel Gesomin Detection Method Based on Microwave Spectroscopy. In: 12th International Conference on the Developments in eSystems Engineering (DESE2019), 07 October 2019 - 10 October 2019, Kazan, Russia. (Accepted)

Thesis

Fergus, P (2005) A framework for self-adaptive networked appliances. Doctoral thesis, Liverpool John Moores University.

This list was generated on Thu Mar 28 18:30:31 2024 UTC.