Computer Science and Engineering

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A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy

Journal article

Aldraimli, M., Soria, D., Grishchuck, D., Ingram, S., Lyon, R., Mistry, A., Oliveira, J., Samuel, R., Shelley, L.E.A., Osman, S., Dwek, M., Azria, D., Chang-Claude, J., Gutiérrez-Enríquez, S., De Santis, M.C., Rosenstein, B.S., De Ruysscher, D., Sperk, E., Symonds, R.P., Stobart, H., Vega, A., Veldeman, L., Webb, A, Christopher, J.T., West, C.M., Rattay, T., REQUITE consortium and Chaussalet, T.J. 2021. A Data Science Approach for Early-Stage Prediction of Patient’s Susceptibility to Acute Side Effects of Advanced Radiotherapy. Computers in Biology and Medicine. 135 104624. https://doi.org/10.1016/j.compbiomed.2021.104624

PITHIA-NRF e-Science Centre – A Science Gateway based on Cloud-based Reference Architectures

Conference paper

Pierantoni, G., Kiss, T. and Bolotov, A. 2021. PITHIA-NRF e-Science Centre – A Science Gateway based on Cloud-based Reference Architectures. 13th International Workshop on Science Gateways. Virtual event 10 - 11 Jun 2021 CEUR Workshop Proceedings.

3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities

Conference paper

Villarini, B., Asaturyan, H., Kurugol, S., Afacan, O., Bell, J.D. and Thomas, E.L. 2021. 3D Deep Learning for Anatomical Structure Segmentation in Multiple Imaging Modalities. O'Conner, L. (ed.) 34th IEEE CBMS International Symposium on Computer-Based Medical Systems. Online Event 07 - 09 Jun 2021 IEEE . https://doi.org/10.1109/CBMS52027.2021.00066

Incorporating spatial context into remaining-time predictive process monitoring

Conference paper

Ogunbiyi, Niyi, Basukoski, Artie and Chaussalet, Thierry 2021. Incorporating spatial context into remaining-time predictive process monitoring. 36th Annual ACM Symposium on Applied Computing. Virtual Event Republic of Korea 22 - 26 Mar 2021 ACM. https://doi.org/10.1145/3412841.3441933

Measuring and Comparing QoE of Hybrid VR Applications under increased network load

Conference paper

Doumanis, I., Economou, D. and Argyriou, L. 2021. Measuring and Comparing QoE of Hybrid VR Applications under increased network load. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). IEEE . https://doi.org/10.23919/iLRN52045.2021.9459316

Work-In-Progress Paper: 360-degree immersive storytelling video to create empathetic response

Conference paper

Hollick, M., Acheampong, C., Ahmed, M., Economou, D. and Ferguson, J. 2021. Work-In-Progress Paper: 360-degree immersive storytelling video to create empathetic response. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). IEEE . https://doi.org/10.23919/iLRN52045.2021.9459340

Work-In-Progress Paper: WebXR to support student wellbeing and anxiety

Conference paper

Hossain, M., Economou, D. and Ferguson, J. 2021. Work-In-Progress Paper: WebXR to support student wellbeing and anxiety. 7th International Conference of the Immersive Learning Research Network (iLRN 2021). IEEE . https://doi.org/10.23919/iLRN52045.2021.9459324

Mitochondrial Function as a Potential Tool for Assessing Function, Quality and Adulteration in Medicinal Herbal Teas

Journal article

Woodley, S., Mould, R., Sahuri Arisoylu, M., Kalampouka, I., Booker, A. and Bell, J.D. 2021. Mitochondrial Function as a Potential Tool for Assessing Function, Quality and Adulteration in Medicinal Herbal Teas. Frontiers in Pharmacology. 12 660938. https://doi.org/10.3389/fphar.2021.660938

Acetate induces growth arrest in colon cancer cells through modulation of mitochondrial function

Journal article

Sahuri Arisoylu, M., Mould, R., Shinjyo, N., Bligh, S.W.A., Nunn, A., Guy, G., Thomas, E.L. and Bell, J.D. 2021. Acetate induces growth arrest in colon cancer cells through modulation of mitochondrial function. Frontiers in Nutrition: Nutrition and Metabolism. 8 588466. https://doi.org/10.3389/fnut.2021.588466

Automatic Pancreas Segmentation and 3D Reconstruction for Morphological Feature Extraction in Medical Image Analysis

PhD thesis

Asaturyan, H. 2021. Automatic Pancreas Segmentation and 3D Reconstruction for Morphological Feature Extraction in Medical Image Analysis. PhD thesis University of Westminster Computer Science and Engineering https://doi.org/10.34737/v414y

An Exploration of Ethical Decision Making with Intelligence Augmentation

Journal article

Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2021. An Exploration of Ethical Decision Making with Intelligence Augmentation. Social Sciences. 10 (2) 57. https://doi.org/10.3390/socsci10020057

Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis

Book chapter

Vali, M., Salimifard, K. and Chaussalet, T. 2021. Carbon Footprints in Emergency Departments: A Simulation-Optimization Analysis. in: Masmoudi M., Jarboui B. and Siarry P. (ed.) Operations Research and Simulation in Healthcare Springer. pp. 193-207

Antithetical Stratified Sampling Estimator for Filtering Signals with Discontinuities

Journal article

Darawsheh, H. and Tarczynski, A. 2021. Antithetical Stratified Sampling Estimator for Filtering Signals with Discontinuities. Signal Processing. 181 107910. https://doi.org/10.1016/j.sigpro.2020.107910

Measuring Success for a Future Vision: Defining Impact in Science Gateways/Virtual Research Environments

Journal article

Calyam, P., Wilkins-Diehr, N., Miller, M., Brookes, E. H., Arora, R., Chourasia, A., Jennewein, D. M., Nandigam, V., LaMar, M. D., Cleveland, S. B., Newman, G., Wang, S., Zaslavsky, I., Cianfrocco, M. A., Ellett, K., Tarboton, D., Jeffery, K. G., Zhao, Z., González-Aranda, J., Perri, M. J., Tucker, G., Candela, L., Kiss, T. and Gesing, S. 2021. Measuring Success for a Future Vision: Defining Impact in Science Gateways/Virtual Research Environments. Concurrency and Computation: Practice and Experience. 33 (19) e6099. https://doi.org/10.1002/cpe.6099

A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users

Conference paper

Liang, X., Angelopoulou, A., Kapetanios, E., Woll, B. and Al Batat, R. 2021. A Multi-modal Machine Learning Approach and Toolkit to Automate Recognition of Early Stages of Dementia among British Sign Language Users. Adrien Bartoli and Andrea Fusiello (ed.) Sign Language Recognition, Translation & Production (SLRTP) Workshop, in conjunction with the ECCV 2020 Conference. Springer. https://doi.org/10.1007/978-3-030-66096-3_20

SMARTEST - knowledge and learning repository

Online educational resource

Bolotov, A., Pierantoni, G., Chan You Fee, D., Wojtunik, D., Ivanauskaite, G., Tait, C., Makadicy, W., Wasowski, T., Kulczynska, A. and Yerashenia, N. 2020. SMARTEST - knowledge and learning repository . University of Westminster.

Preprint: Twisting moduli for gl(2)

Other

Bedert, B., Cooper, G., Oliver, T. and Zhang, P. 2020. Preprint: Twisting moduli for gl(2). arXiv. https://doi.org/10.48550/arxiv.2003.02557

Preprint: Machine-Learning the Sato-Tate Conjecture

Other

He, Y.-H., Lee, K.-H. and Oliver, T. 2020. Preprint: Machine-Learning the Sato-Tate Conjecture. arXiv. https://doi.org/10.48550/arxiv.2010.01213

Preprint: Machine-learning number fields

Other

He, Y.-H., Lee, K.-H. and Oliver, T. 2020. Preprint: Machine-learning number fields. arXiv. https://doi.org/10.48550/arxiv.2011.08958

Preprint: Machine-learning arithmetic curves

Other

He, Y.-H., Lee, K.-H. and Oliver, T. 2020. Preprint: Machine-learning arithmetic curves. arXiv. https://doi.org/10.48550/arxiv.2012.04084

Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model

Conference paper

Ibrahim, A., Corrigan, L. and Kashef, R. 2020. Predicting the Demand in Bitcoin Using Data Charts: A Convolutional Neural Networks Prediction Model. IEEE Canadian Conference on Electrical and Computer Engineering (CCECE). London, Ontario, Canada 30 Aug - 02 Sep 2020 IEEE . https://doi.org/10.1109/CCECE47787.2020.9255711

Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables

Journal article

Ibrahim, A., Kashef, R., Li, M., Valencia, E. and Huang, E. 2020. Bitcoin Network Mechanics: Forecasting the BTC Closing Price Using Vector Auto-Regression Models Based on Endogenous and Exogenous Feature Variables. Journal of Risk and Financial Management. 13 (9) 9. https://doi.org/10.3390/jrfm13090189

Twisting moduli for GL(2)

Journal article

Bedert, B., Cooper, G., Oliver, T. and Zhang, P. 2020. Twisting moduli for GL(2). Journal of Number Theory. 217, pp. 142-162. https://doi.org/10.1016/j.jnt.2020.04.008

Weil's converse theorem for Maass forms and cancellation of zeros

Journal article

Oliver, T. and Neururer, M. 2020. Weil's converse theorem for Maass forms and cancellation of zeros. Acta Arithmetica. 196, pp. 387-422. https://doi.org/10.4064/aa190811-3-2

Using Hyperledger Fabric Blockchain to Maintain the Integrity of Digital Evidence in a Containerised Cloud Ecosystem

Conference paper

Awuson-David, K., Al-Hadhrami, T., Olajide, F. and Lotfi, A. 2020. Using Hyperledger Fabric Blockchain to Maintain the Integrity of Digital Evidence in a Containerised Cloud Ecosystem. 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019). Johor, Malaysia 22 - 23 Sep 2019 Springer. https://doi.org/10.1007/978-3-030-33582-3_79

A technological approach towards the measurement of enterprise agility

Conference paper

Williams, O C. and Olajide, F. 2020. A technological approach towards the measurement of enterprise agility. 15th Iberian Conference on Information Systems and Technologies (CISTI). Seville, Spain 24 - 27 Jun 2020 IEEE . https://doi.org/10.23919/CISTI49556.2020.9141142

Sensor Network in Automated Hand Hygiene Systems Using IoT for Public Building

Conference paper

Olajide, F. 2020. Sensor Network in Automated Hand Hygiene Systems Using IoT for Public Building. 4th International Conference of Reliable Information and Communication Technology 2019 (IRICT 2019). Johor, Malaysia 22 - 23 Sep 2019 Springer. pp. 463–476 https://doi.org/10.1007/978-3-030-33582-3_44

Design and Implementation of an Elastic Monitoring Architecture for Cloud Network Slices

Conference paper

Beltrami, A., MacIel, P.D., Tusa, F., Cesila, C., Rothenberg, C., Pasquini, R. and Verdi, F.L. 2020. Design and Implementation of an Elastic Monitoring Architecture for Cloud Network Slices. NOMS 2020 - 2020 IEEE/IFIP Network Operations and Management Symposium. Budapest, Hungary 20 - 24 Apr 2020 IEEE . https://doi.org/10.1109/noms47738.2020.9110415

WIM on-demand - A modular approach for managing network slices

Conference paper

Clayman, S., Tusa, F., Galis, A. and Contreras, L.M. 2020. WIM on-demand - A modular approach for managing network slices. 2020 6th IEEE Conference on Network Softwarization (NetSoft). Ghent, Belgium 29 Jun - 03 Jul 2020 IEEE . https://doi.org/10.1109/netsoft48620.2020.9165342

Analysis of the Signed Regressor LMMN Algorithm for complex-valued data

Conference paper

Ulla Faiz, M. and Zerguine, A. 2020. Analysis of the Signed Regressor LMMN Algorithm for complex-valued data. 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD). Monastir, Tunisia 20 - 23 Jul 2020 IEEE . https://doi.org/10.1109/ssd49366.2020.9364145

COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms

Conference paper

Gias, A.U. and Casale, G. 2020. COCOA: Cold Start Aware Capacity Planning for Function-as-a-Service Platforms. 28th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems. Nice, France 17 - 18 Nov 2020 IEEE . https://doi.org/10.1109/mascots50786.2020.9285966

Performance engineering for microservices and serverless applications: The RADON approach

Conference paper

Gias, A.U., Van Hoorn, A., Zhu, L., Casale, G., Düllmann, T.F. and Wurster, M. 2020. Performance engineering for microservices and serverless applications: The RADON approach. ICPE '20: Companion of the ACM/SPEC International Conference on Performance Engineering. Edmonton AB Canada 25 - 30 Apr 2020 ACM. https://doi.org/10.1145/3375555.3383120

MRFS: A Multi-resource Fair Scheduling Algorithm in Heterogeneous Cloud Computing

Conference paper

Hamzeh, H., Meacham, S., Khan, K., Phalp, K. and Stefanidis, A. 2020. MRFS: A Multi-resource Fair Scheduling Algorithm in Heterogeneous Cloud Computing. 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). Madrid, Spain 13 - 20 Jul 2020 IEEE . https://doi.org/10.1109/compsac48688.2020.00-18

Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification

Conference paper

Grimwood, A., McNair, H., Hu, Y., Bonmati Coll, E., Barratt, D. and Harris, E.J. 2020. Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification. Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 23rd International Conference. Lima, Peru 04 - 08 Oct 2020 Springer. https://doi.org/10.1007/978-3-030-59716-0_52

A Novel Optimization Algorithm for Notch Bandwidth in Lattice Based Adaptive Filter for the Tracking of Interference in GPS

Conference paper

Arif, S., Coskun, A. and Kale, I. 2020. A Novel Optimization Algorithm for Notch Bandwidth in Lattice Based Adaptive Filter for the Tracking of Interference in GPS. 2020 IEEE International Symposium on Circuits and Systems (ISCAS). Online 10 - 21 Oct 2020 IEEE . https://doi.org/10.1109/ISCAS45731.2020.9181117

Using Serious Games for Learning British Sign Language Combining Video, Enhanced Interactivity, and VR Technology

Journal article

Ferguson, J., Gonzalez Russi, M., Doumanis, I., Mentzelopoulos, M., Bouki, V. and Ferguson, J. 2020. Using Serious Games for Learning British Sign Language Combining Video, Enhanced Interactivity, and VR Technology. Journal of Universal Computer Science. 26 (8), pp. 996-1016.

A Survey of Alzheimer's Disease Early Diagnosis Methods for Cognitive Assessment.

Journal article

Fernández Montenegro, Juan Manuel, Villarini, Barbara, Angelopoulou, Anastassia, Kapetanios, E., Garcia-Rodriguez, J. and Argyriou, Vasileios 2020. A Survey of Alzheimer's Disease Early Diagnosis Methods for Cognitive Assessment. Sensors. 20 (24) 7292. https://doi.org/10.3390/s20247292

Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach

Journal article

Ogunbiyi, O., Basukoski, A. and Chaussalet, T.J. 2020. Investigating the Diffusion of Workload-Induced Stress—A Simulation Approach. Information. 12 (1) 11. https://doi.org/10.3390/info12010011

Proceedings of the 4th Student-STAFF Research Conference 2020 School of Computer Science and Engineering SSRC2020

Book

Bolotov, A. Bolotov, A. (ed.) 2020. Proceedings of the 4th Student-STAFF Research Conference 2020 School of Computer Science and Engineering SSRC2020. University of Westminster.

A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment

Journal article

Fernández Montenegro, Juan Manuel, Villarini, B., Angelopoulou, A., Kapetanios, E., Garcia-Rodriguez, J. and Argyriou, Vasileios 2020. A Survey of Alzheimer’s Disease Early Diagnosis Methods for Cognitive Assessment. Sensors. 20 (24) e7292. https://doi.org/10.3390/s20247292


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Abbas, Qasim

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