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AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images

Conference paper

Villarini, B. and Asaturyan, H. 2022. AI Driven IoT Web-Based Application for Automatic Segmentation and Reconstruction of Abdominal Organs from Medical Images. International Conference on Distributed Computing in Sensor Systems (DCOSS). Los Angeles, California 30 May - 01 Jul 2022 IEEE . https://doi.org/10.1109/DCOSS54816.2022.00045

To Offload or Not? An Analysis of Big Data Offloading Strategies from Edge to Cloud

Conference paper

Singh, R., Kovacs, J. and Kiss, T. 2022. To Offload or Not? An Analysis of Big Data Offloading Strategies from Edge to Cloud. IEEE World AI IoT Congress 2022. Seattle, USA 06 - 09 Jun 2022 IEEE . https://doi.org/10.1109/AIIoT54504.2022.9817276

Supply chain simulation as a service to increase adaptation capability in manufacturing

Conference paper

Kiss, T., Terstyanszky, G., Arjun, R., Sardesai, S., Goertz, M. D. and Wangenheim, M. 2022. Supply chain simulation as a service to increase adaptation capability in manufacturing. ANNSIM 2022 - Annual Modeling and Simulation Conference. San Diego, California, USA 17 - 20 Jul 2022 IEEE . https://doi.org/10.23919/ANNSIM55834.2022.9859375

Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model

Conference paper

Dilna, K.T., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Classification of Uterine Fibroids in Ultrasound Images Using Deep Learning Model. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_5

Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation

Conference paper

Smera Premkumar, K., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Super-Resolution Convolutional Network for Image Quality Enhancement in Remote Photoplethysmography based Heart Rate Estimation. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_15

Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach

Conference paper

Nazyrova, N., Chaussalet, T.J. and Chahed, S. 2022. Machine Learning models for predicting 30-day readmission of elderly patients using custom target encoding approach. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08757-8_12

Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines

Conference paper

Surendran, R., Anitha, J., Angelopoulou, A., Chaussalet, T.J., Kapetanios, D.E. and Jude Hemanth, D. 2022. Transfer Learning based Natural Scene Classification for Scene Understanding by Intelligent Machines. International Conference on Computational Science ICCS 2022. London, UK 21 - 23 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-08754-7_6

An Industry Gateway for Rapid Reconfiguration of Manufacturing Processes

Conference paper

Kiss, T., Terstyanszky, G. and Arjun, R. 2022. An Industry Gateway for Rapid Reconfiguration of Manufacturing Processes. IWSG 2022. Trento, Italy 15 - 17 Jun 2022

Everyday orchestration with Docker on Kubernetes

Conference paper

Deslauriers, J., Arjun, R., Kovács, J. and Kiss, T. 2022. Everyday orchestration with Docker on Kubernetes. IWSG 2022. Trento, Italy 15 - 17 Jun 2022

Sharing Data Collections and Models for Ionosphere, Thermosphere and Plasmasphere Research

Conference paper

Kiss, T., Pierantoni, G., Kagialis, D., Bolotov, A., Chan You Fee, D., Belehaki, A. and Galkin, I. 2022. Sharing Data Collections and Models for Ionosphere, Thermosphere and Plasmasphere Research. IWSG 2022. Trento, Italy 15 - 17 Jun 2022

Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms

Journal article

Zambrano, V., Mueller-Roemer, J., Sandberg, M., Talasila, P., Zanin, D, Larsen, P., Loeschner, E., Thronicke, W., Pietraroia, D., Landolfi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I., Juan, A., Serrano, F. and Stork, A. 2022. Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms. Array. 14 100176. https://doi.org/10.1016/j.array.2022.100176

Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring

Journal article

Ramasamy, L.K., Khan, F., Shah, M., Prasad , B.V.V.S., Iwendi, C. and Biamba, C. 2022. Secure Smart Wearable Computing through Artificial Intelligence-Enabled Internet of Things and Cyber-Physical Systems for Health Monitoring. Sensors. 22 (3) 1076. https://doi.org/10.3390/s22031076

Contrast discrimination in images of natural scenes

Journal article

Triantaphillidou, S., Jarvis, J. and Gupta, G. 2022. Contrast discrimination in images of natural scenes. Journal of the Optical Society of America A. 39 (6), pp. B50-B64. https://doi.org/10.1364/JOSAA.447390

Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing

Journal article

Marosi, A.C., Márk Emodi, Hajnal, A., Lovas, R., Kiss, T., Valerie Poser, Antony, J., Bergweiler, S., Hamzeh, H., Deslauriers, J. and Kovacs, J. 2022. Interoperable Data Analytics Reference Architectures Empowering Digital-Twin-Aided Manufacturing. Future Internet. 14 (4) e114. https://doi.org/10.3390/fi14040114

Camera Spatial Frequency Response Derived from Pictorial Natural Scenes

PhD thesis

Van Zwanenberg, O. 2022. Camera Spatial Frequency Response Derived from Pictorial Natural Scenes. PhD thesis University of Westminster School of Computer Science and Engineering https://doi.org/10.34737/vvqxq

Removal of multiple artifacts from ECG signal using cascaded multistage adaptive noise cancellers

Journal article

Ulla Faiz, M. and Kale, I. 2022. Removal of multiple artifacts from ECG signal using cascaded multistage adaptive noise cancellers. Array. 14 100133. https://doi.org/10.1016/j.array.2022.100133

Proceedings of the 5th Student-STAFF Research Conference

Book

Bolotov, A. Bolotov, A. (ed.) 2022. Proceedings of the 5th Student-STAFF Research Conference. University of Westminster.

Contextual and Ethical Issues with Predictive Process Monitoring

PhD thesis

Ogunbiyi, Oluniyi 2022. Contextual and Ethical Issues with Predictive Process Monitoring. PhD thesis University of Westminster School of Computer Science and Engineering https://doi.org/10.34737/vqy62

On the Expressive Power of the Normal Form for Branching-Time Temporal Logics

Article

Bolotov, Alexander 2022. On the Expressive Power of the Normal Form for Branching-Time Temporal Logics. Electronic Proceedings in Theoretical Computer Science. 358, pp. 254-269. https://doi.org/10.4204/eptcs.358.19

Abstractions of Abstractions: Metadata to Infrastructure-as-Code

Conference paper

Deslauriers, J., Kovacs, J. and Kiss, T. 2022. Abstractions of Abstractions: Metadata to Infrastructure-as-Code. FIST 2022 - 1st International Workshop on the Foundations of Infrastructure Specification and Testing, In conjunction with the 19TH IEEE International Conference on Software Architecture (ICSA 2022). On-line 12 - 15 Mar 2022 IEEE . https://doi.org/10.1109/icsa-c54293.2022.00051

A Conceptual Framework to Predict Mental Health Patients' Zoning Classification.

Journal article

Pandey, Sanjib Raj, Smith, Alan, Gall, Edmund Nigel, Bhatnagar, Ajay and Chaussalet, Thierry 2022. A Conceptual Framework to Predict Mental Health Patients' Zoning Classification. Studies in Health Technology and Informatics. 289, pp. 321-324. https://doi.org/10.3233/SHTI210924

Hybrid deep convolutional neural models for iris image recognition

Journal article

Jenkin Winston, J., Hemmanth, J., Angelopoulou, A. and Kapetanios, E. 2022. Hybrid deep convolutional neural models for iris image recognition. Multimedia Tools and Applications. 81, pp. 9481-9503. https://doi.org/10.1007/s11042-021-11482-y

A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit

Conference paper

Aldraimli, M., Nazyrova, N., Djumanov, A., Sobirov, I. and Chaussalet, T.J. 2022. A Comparative Machine Learning Modelling Approach for Patients' Mortality Prediction in Hospital Intensive Care Unit . Sotirov, S.S., Pencheva, T., Kacprzyk, J., Atanassov, K.T., Sotirova, E. and Staneva, G. (ed.) International Symposium on Bioinformatics and Biomedicine. Burgas, Bulgaria 08 - 10 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-96638-6_2

Comparative analysis of clustering-based remaining-time predictive process monitoring approaches

Journal article

Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2022. Comparative analysis of clustering-based remaining-time predictive process monitoring approaches. International Journal of Business Process Integration and Management. 10 (3/4), pp. 230-241. https://doi.org/10.1504/IJBPIM.2021.124023

Applied artificial intelligence for predicting construction projects delay

Journal article

Christian Nnaemeka Egwim, Hafiz Alaka, Luqman Olalekan Toriola-Coker, Habeeb Balogun and Funlade Sunmola 2021. Applied artificial intelligence for predicting construction projects delay. Machine Learning with Applications. 6 100166. https://doi.org/10.1016/j.mlwa.2021.100166

Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors

Journal article

Balogun, H., Alaka, H. and Egwim, C.N. 2021. Boruta-grid-search least square support vector machine for NO2 pollution prediction using big data analytics and IoT emission sensors. Applied Computing and Informatics. Advanced online publication. https://doi.org/10.1108/aci-04-2021-0092

Special Session - Students on Game Immersion Workshop

Workshop item

Mentzelopoulos, M. and Bass-Clark, D. 2021. Special Session - Students on Game Immersion Workshop. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). Online 17 May - 10 Jun 2021 IEEE . https://doi.org/10.23919/iLRN52045.2021.9459346

Inferences Derived from Reservoir Permeability Estimation Using Static and Dynamic Data: Core Data Analysis Versus Drawdown Tests

Book chapter

Francis Nwabia, Jude Osamor, Robinson Madu, Nkemakolam Izuwa and Anthony Chikwe 2021. Inferences Derived from Reservoir Permeability Estimation Using Static and Dynamic Data: Core Data Analysis Versus Drawdown Tests. in: Jia'en Lin (ed.) IPPTC 2021: Proceedings of the 2021 International Petroleum and Petrochemical Technology Conference Springer Nature. pp. 184-196

Analyzing BTC’s Trend During COVID-19 Using A Sentiment Consensus Clustering (SCC)

Conference paper

Ibrahim, A. 2021. Analyzing BTC’s Trend During COVID-19 Using A Sentiment Consensus Clustering (SCC). 2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON). Vancouver, Canada 27 - 30 Oct 2021 IEEE . https://doi.org/10.1109/IEMCON53756.2021.9623182

Forecasting the Early Market Movement in Bitcoin Using Twitters Sentiment Analysis An Ensemble based Prediction Model

Conference item

Ibrahim, A. 2021. Forecasting the Early Market Movement in Bitcoin Using Twitters Sentiment Analysis An Ensemble based Prediction Model. 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). Toronto, Canada (online) 21 - 24 Apr 2021 IEEE . https://doi.org/10.1109/IEMTRONICS52119.2021.9422647

Predicting market movement direction for bitcoin: A comparison of time series modeling methods

Journal article

Ibrahim, A., Kashef, R. and Corrigan, L. 2021. Predicting market movement direction for bitcoin: A comparison of time series modeling methods. Computers and Electrical Engineering. 89 106905. https://doi.org/10.1016/j.compeleceng.2020.106905

A Cost-benefit Analysis of Information Security Mitigation Methods for ORVIs

Journal article

Street, J. and Olajide, F. 2021. A Cost-benefit Analysis of Information Security Mitigation Methods for ORVIs. Journal of Internet Technology and Secured Transactions (JITST). 9 (1), pp. 747-755. https://doi.org/10.20533/jitst.2046.3723.2021.0092

Character expansion of Kac–Moody correction factors

Journal article

Lee, K.-H., Liu, D and Oliver, T. 2021. Character expansion of Kac–Moody correction factors. Pacific Journal of Mathematics. 313 (1), pp. 159-183. https://doi.org/10.2140/pjm.2021.313.159

Performance Comparison of Recent Population-Based Metaheuristic Optimisation Algorithms in Mechanical Design Problems of Machinery Components

Journal article

Alkan, B. and Kaniappan Chinnathai, M. 2021. Performance Comparison of Recent Population-Based Metaheuristic Optimisation Algorithms in Mechanical Design Problems of Machinery Components . Machines. 9 (12) 341. https://doi.org/10.3390/machines9120341

A novel data-driven approach to support decision-making during production scale-up of assembly systems

Journal article

Kaniappan Chinnathai, M., Alkan, B. and Harrison, R. 2021. A novel data-driven approach to support decision-making during production scale-up of assembly systems. Journal of Manufacturing Systems. 59, pp. 577-595. https://doi.org/10.1016/j.jmsy.2021.03.018

The NECOS Approach to End-to-End Cloud-Network Slicing as a Service

Journal article

Clayman, S., Neto, A., Verdi, F., Correa, S., Sampaio, S., Sakelariou, I., Mamatas, L., Pasquini, R., Cardoso, K., Tusa, F., Rothenberg, C. and Serrat, J. 2021. The NECOS Approach to End-to-End Cloud-Network Slicing as a Service. IEEE Communications Magazine. 59 (3), pp. 91-97. https://doi.org/10.1109/mcom.001.2000702

Private Routing in the Internet

Conference paper

Tusa, F., Griffin, D. and Rio, M. 2021. Private Routing in the Internet. 2021 IEEE 22nd International Conference on High Performance Switching and Routing (HPSR). Paris, France 07 - 10 Jun 2010 IEEE . https://doi.org/10.1109/hpsr52026.2021.9481808

The Impact of Encoding and Transport for Massive Real-time IoT Data on Edge Resource Consumption

Journal article

Francesco Tusa and Stuart Clayman 2021. The Impact of Encoding and Transport for Massive Real-time IoT Data on Edge Resource Consumption. Journal of Grid Computing. 19 32. https://doi.org/10.1007/s10723-021-09577-9

Trends in Data Engineering Methods for Intelligent Systems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020)

Book

Jude Hemanth, Tuncay Yigit, Bogdan Patrut and Angelopoulou, A. (ed.) 2021. Trends in Data Engineering Methods for Intelligent Systems: Proceedings of the International Conference on Artificial Intelligence and Applied Mathematics in Engineering (ICAIAME 2020). Springer.

Analysis of the Normalized Sign-Sign LMS Algorithm

Conference paper

Ulla Faiz, M. and Zerguine, A. 2021. Analysis of the Normalized Sign-Sign LMS Algorithm. 2021 18th International Multi-Conference on Systems, Signals & Devices (SSD). Monastir, Tunisia 22 - 25 Mar 2021 IEEE . https://doi.org/10.1109/ssd52085.2021.9429479


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Abbas, Qasim

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