Computer Science and Engineering

CollegeDesign, Creative and Digital Industries
HeadDr Philip Trwoga
Sort by Date Title

Edge-Cloud Synergy: Unleashing the Potential of Parallel Processing for Big Data Analytics

Conference paper

Singh, R. and Kiss, T. 2022. Edge-Cloud Synergy: Unleashing the Potential of Parallel Processing for Big Data Analytics. IEEE IEMCON 2022 - 13th IEEE Annual Information Technology, Electronics and Mobile Communication Conference. on-line event 12 - 15 Oct 2022 IEEE . https://doi.org/10.1109/IEMCON56893.2022.9946590

Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications

Journal article

Mohammad Harris, Hongwei Wu, Wenbin Zhang and Angelopoulou, A. 2022. Overview of Recent Trends in Microchannels for Heat Transfer and Thermal Management Applications. Chemical Engineering and Processing - Process Intensification. 181 109155. https://doi.org/10.1016/j.cep.2022.109155

Work-in-progress-Gamifying the process of Learning Sign Language in VR

Conference paper

Economou, Daphne, Mentzelopoulos, Markos, Ingram, Jack, Martinez-Mukimov, Timur, Primkulova, Shirin and Abduvaliev, Said 2022. Work-in-progress-Gamifying the process of Learning Sign Language in VR. IEEE . https://doi.org/10.23919/ilrn55037.2022.9815988

Doctoral Colloquium—Artmaking: From a Hands-On Process to a VR Translation

Conference item

Keleri, Maritina, Economou, Daphne and Ferguson, Jeffrey 2022. Doctoral Colloquium—Artmaking: From a Hands-On Process to a VR Translation. IEEE . https://doi.org/10.23919/ilrn55037.2022.9815907

Work-In-Progress—CrimOPS-Gamified Virtual Simulations for Authentic Assessment in Criminology

Conference paper

Gerard, F. Jeane, Mentzelopoulos, Markos, Economou, Daphne, Khalish, Zeeshan, Ingram, Jack and Ashley, Edwards 2022. Work-In-Progress—CrimOPS-Gamified Virtual Simulations for Authentic Assessment in Criminology. 8th International Conference of the Immersive Learning Research Network (iLRN 2022)). Vienna, Austria 30 May - 04 Jun 2022 IEEE . https://doi.org/10.23919/ilrn55037.2022.9815942

Doctoral Colloquium—Treasure Hunt AR for Enhancing Visiting Experience in Cultural Sites

Article

Sarker, Md Tusher, Economou, Daphne and Eardley, Alison 2022. Doctoral Colloquium—Treasure Hunt AR for Enhancing Visiting Experience in Cultural Sites. 2021 7th International Conference of the Immersive Learning Research Network (iLRN). https://doi.org/10.23919/ilrn55037.2022.9815888

Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence.

Journal article

Vali, Masoumeh, Salimifard, Khodakaram, Gandomi, Amir H and Chaussalet, Thierry J 2022. Application of job shop scheduling approach in green patient flow optimization using a hybrid swarm intelligence. Computers & industrial engineering. 172, p. 108603. https://doi.org/10.1016/j.cie.2022.108603

Pilot scale electromethanogenic reactor treating brewery wastewater - progress to commercial implementation

Conference poster

Bowman, K., Fudge, G., Gambier, W., Elauiy, M., Hembury, T., Rengaraj, S., Jobling-Purser, B., Fudge, T., Kale, I. and Kyazze, G. 2022. Pilot scale electromethanogenic reactor treating brewery wastewater - progress to commercial implementation. 4th Annual ECR Conference. Jubilee Conference Centre, University of Nottingham 12 - 14 Sep 2022 EBNet.

Network Service Assurance and Telemetry optimisation using Heuristics

Journal article

Jovanovic, Mioljub, Cabarkapa, Milan and Budimir, Djuradj 2022. Network Service Assurance and Telemetry optimisation using Heuristics. WSEAS TRANSACTIONS ON COMMUNICATIONS. 21, pp. 244-249. https://doi.org/10.37394/23204.2022.21.29

Tourism cloud management system: the impact of smart tourism

Journal article

Yin, F., Yin, X., Zhou, J., Zhang, X., Zhang, R.., Ibeke, E., Iwendi, M.G. and Shah, M. 2022. Tourism cloud management system: the impact of smart tourism. Journal of Cloud Computing. 11 (1) 37. https://doi.org/10.1186/s13677-022-00316-3

Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining

Journal article

Vali, M., Salimifard, K., Gandomi, A.H. and Chaussalet, T.J. 2022. Care process optimization in a cardiovascular hospital: an integration of simulation–optimization and data mining. Annals of Operations Research. 318, pp. 685-712. https://doi.org/10.1007/s10479-022-04831-z

Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort.

Journal article

Aldraimli, Mahmoud, Osman, Sarah, Grishchuck, Diana, Ingram, Samuel, Lyon, Robert, Mistry, Anil, Oliveira, Jorge, Samuel, Robert, Shelley, Leila E A, Soria, Daniele, Dwek, Miriam V, Aguado-Barrera, Miguel E, Azria, David, Chang-Claude, Jenny, Dunning, Alison, Giraldo, Alexandra, Green, Sheryl, Gutiérrez-Enríquez, Sara, Herskind, Carsten, van Hulle, Hans, Lambrecht, Maarten, Lozza, Laura, Rancati, Tiziana, Reyes, Victoria, Rosenstein, Barry S, de Ruysscher, Dirk, de Santis, Maria C, Seibold, Petra, Sperk, Elena, Symonds, R Paul, Stobart, Hilary, Taboada-Valadares, Begoña, Talbot, Christopher J, Vakaet, Vincent J L, Vega, Ana, Veldeman, Liv, Veldwijk, Marlon R, Webb, Adam, Weltens, Caroline, West, Catharine M, Chaussalet, Thierry J, Rattay, Tim and REQUITE consortium 2022. Development and Optimization of a Machine-Learning Prediction Model for Acute Desquamation After Breast Radiation Therapy in the Multicenter REQUITE Cohort. Advances in radiation oncology. 7 (3) 100890. https://doi.org/10.1016/j.adro.2021.100890

Visualising weekly learning outcomes (VWLO) and the intention to continue using a learning management system (CIU): the role of cognitive absorption and perceived learning self-regulation

Journal article

Al-shaikhli, Dhuha, Jin, Li, Porter, Alan and Tarczynski, Andrzej 2022. Visualising weekly learning outcomes (VWLO) and the intention to continue using a learning management system (CIU): the role of cognitive absorption and perceived learning self-regulation. Education and Information Technologies. 27. https://doi.org/10.1007/s10639-021-10703-z

Developing a Generic Predictive Computational Model using Semantic data Pre-Processing with Machine Learning Techniques and its application for Stock Market Prediction Purposes

Conference paper

Yerashenia, N., Chan You Fee, D. and Bolotov, A. 2022. Developing a Generic Predictive Computational Model using Semantic data Pre-Processing with Machine Learning Techniques and its application for Stock Market Prediction Purposes. 24th IEEE International Conference on Business Informatics (IEEE CBI 2022). Amsterdam 15 - 17 Jun 2022 IEEE . https://doi.org/10.1109/CBI54897.2022.00013

Voice-Assisted Image Labeling for Endoscopic Ultrasound Classification Using Neural Networks

Journal article

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

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

Ensemble machine learning approach for electronic nose signal processing

Journal article

Dedy Rahman Wijay, Farah Afian, Anditya Arifianto, Dewi Rahmawati and Kodogiannis, V. 2022. Ensemble machine learning approach for electronic nose signal processing. Sensing and Bio-Sensing Research. 36 100495. https://doi.org//10.1016/j.sbsr.2022.100495

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


Usage statistics

292084 total views
138270 total downloads
These values cover views and downloads from WestminsterResearch and are for the period from September 2nd 2018, when this repository was created.

People

Al-Janabi, Mohammed

Senior Lecturer


Barjamovic, Dragana

Assistant Head of School


Basukoski, Artie

Assistant Head of School


Bouki, Vassiliki

Principal Lecturer


Chahed, Salma

Senior Lecturer


Charalambous, George

Senior Lecturer


Chen, Huankai

Research Associate


Chondrogianni, Maria

Principal Lecturer


Chountas, Panagiotis

Principal Lecturer


Colom, Anne-Gaelle

Assistant Head of School


Courtenage, Simon

Principal Lecturer


Dagdeviren, Huseyin

Senior Lecturer


Deslauriers, Jay

Research Fellow


Dracopoulos, Dimitris

Senior Lecturer


Economou, Daphne

Senior Lecturer


El Hajjar, Ayman

Senior Lecturer


Fain, Vitaly

Lecturer


Ferguson, Jeffrey

Senior Lecturer


Giles, Martin

Senior Lecturer


He, Fang

Senior Lecturer


Huang, David

Senior Lecturer


Ingram, Jack

Lecturer


Jacobson, Ralph

Emeritus Professor


James, Jade

Lecturer


Jin, Li

Senior Lecturer


Kagialis, Dimitris

Research Associate


Kiss, Tamas

Professor


Kolyda, Frantzeska

Senior Lecturer


Kovacs, Jozef

Senior Research Fellow


Lukka, Girish

Senior Lecturer


Ma, Yang

Research Associate


Majeed, Ebad

Lecturer


Martina, Andrea

Assistant Head of School


Mentzelopoulos, Markos

Senior Lecturer


Michalas, Antonis

Research Fellow


Moullard, Olivier

Senior Lecturer


Olajide, Funminiyi

Senior Lecturer


Oliver, Tom

Lecturer


Osamor, Jude

Lecturer


Reni, Saumya

Senior Lecturer


Roubert, Francois

Senior Lecturer


Sandia, Imtiaz

Senior Lecturer


Smith, Stuart

Research Associate


Terstyanszky, Gabor

Principal Research Fellow


Trwoga, Philip

Head of School - Comp. Sci. & Eng.


Turgul, Volkan

Senior Research Fellow


Ullah, Amjad

Research Associate


Villarini, Barbara

Senior Lecturer


Weingarten, Noam

Senior Lecturer


Yeung, Chee

Senior Lecturer