Computer Science and Engineering

Bonmati Coll, E., Hu, Y., Grimwood, A., Johnson, G.J., Goodchild, G., Keane, M.G., Gurusamy, K., Davidson, B., Clarkson, M.J., Pereira, S.P. and Barratt, D.C. 2022. Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks. IEEE Transactions on Medical Imaging. 41 (6), pp. 1311-1319. https://doi.org/10.1109/tmi.2021.3139023

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Alexander Grimwood, Joao Ramalhinho, Zachary M. C. Baum, Nina Montaña-Brown, Gavin J. Johnson, Yipeng Hu, Matthew J. Clarkson, Stephen P. Pereira, Dean C. Barratt and Ester Bonmati Coll 2021. Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network. Second International Workshop, ASMUS 2021, Held in Conjunction with MICCAI 2021. Strasbourg, France 27 Sep 2021 Springer. https://doi.org/10.1007/978-3-030-87583-1_17

Vedasingha, K.S., Perera, K.K.M.T., Hathurusinghe, K.I., Akalanka, H.W.I., Amarasena, N. and Dissanayake, N.R. 2021. Enhance the Safety Measurements in Railways with the Aid of IoT and Image Processing. 2021 3rd International Conference on Advancements in Computing (ICAC). Colombo, Sri Lanka 09 - 11 Dec 2021 IEEE . https://doi.org/10.1109/icac54203.2021.9671190

Dissanayake, N., Kasthurirathna, D. and Jayalal, S. 2021. Towards an Abstract Style for True-Push-Communication Enabled Rich Web-based Applications. 21st International Conference on Advances in ICT for Emerging Regions (ICTer). Colombo, Sri Lanka 02 - 03 Dec 2021

Andric, M., Ivanova, I. and Ricci, F. 2021. Climbing Route Difficulty Grade Prediction and Explanation. WI-IAT '21: IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology. Melbourne, VIC, Australia 14 - 17 Dec 2021 ACM. https://doi.org/10.1145/3486622.3493932

Ivanova, I., Andric, M. and Ricci, F. 2021. Knowledge-Based Recommendations for Climbers. 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021). Virtual event, Amsterdam, Netherlands 25 Sep 2021 CEUR Workshop Proceedings.

Ivanova, I. 2021. Climber Behavior Modeling and Recommendation. 29th Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2021). Online from Utrecht, the Netherlands. 21 - 25 Jun 2021 ACM. https://doi.org/10.1145/3450613.3459658

Ligetfalvi, B., Emődi, M., Kovács, J. and Lovas, R. 2021. Fundamentals of a novel debugging mechanism for orchestrated cloud infrastructures with macrosteps and active control. Electronics. 10 (24) 3108. https://doi.org/10.3390/electronics10243108

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

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

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

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

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

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

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

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