Computer Science and Informatics

Type	Division
School	Engineering

Latest research outputs

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The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries

Mendieta, J.B., Fontarosa, D., Wang, J., Paritala, P.K., McGahan, T., Lloyd, T. and Li, Z. (2020). The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries. Biomechanics and Modeling in Mechanobiology. 19, pp. 1477-1490. https://doi.org/10.1007/s10237-019-01282-7

Journal article

Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks

He, C., Wang, J., Yin, Y. and Li, Z. (2020). Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks. Journal of Biomedical Optics. 26 (9), p. 095003. https://doi.org/10.1117/1.JBO.25.9.095003

Journal article

Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue

Wang, J. (2020). Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue. Frontiers in Bioengineering and Biotechnology. 8. https://doi.org/10.3389/fbioe.2020.00060

Journal article

Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation

He, C., Li, Z., Wang, J., Huang, Y., Yin, Y. and Li, Z. (2020). Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation. Frontiers in Bioengineering and Biotechnology. 8. https://doi.org/10.3389/fbioe.2020.00749

Journal article

Measuring consumer behavioural intention to accept technology: Towards autonomous vehicles technology acceptance model (AVTAM)

Ubakanma, G., Seuwou, P., Chrysoulas, C. and Banissi, E. (2020). Measuring consumer behavioural intention to accept technology: Towards autonomous vehicles technology acceptance model (AVTAM). WorldCIST: World Conference on Information Systems and Technologies. Budva, Montenegro 07 - 10 Apr 2020 Springer. https://doi.org/10.1007/978-3-030-45688-7

Conference paper

Reliability analysis of the internet of things using Space Fault Network

Shasha L., Tiejun C. and Alam, M. (2020). Reliability analysis of the internet of things using Space Fault Network. Alexandria Engineering Journal . 60 (1), pp. 1259-1270. https://doi.org/10.1016/j.aej.2020.10.049

Journal article

Measuring Behavioural Intention to Accept Autonomous Vehicles: A Structural Equation Model

Seuwou, P. (2020). Measuring Behavioural Intention to Accept Autonomous Vehicles: A Structural Equation Model. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.8z0y5

PhD Thesis

Computing the Future: Digital encounters in art and science when da Vinci meets Turing

Giannini, T. and Bowen, J.P. (2020). Computing the Future: Digital encounters in art and science when da Vinci meets Turing. EVA London 2020. London 06 - 06 Jul 2020 BCS Learning & Development. https://doi.org/10.14236/ewic/eva2020.3

Conference paper

A Personal View of EVA London: Past, Present, Future

Bowen, J.P. (2020). A Personal View of EVA London: Past, Present, Future. EVA London 2020. London 06 - 06 Jul 2020 BCS Learning & Development. https://doi.org/10.14236/ewic/eva2020.2

Conference paper

Museum Websites of the First Wave: The rise of the virtual museum

Gaia, G., Boiano, S., Bowen, J.P. and Borda, A. (2020). Museum Websites of the First Wave: The rise of the virtual museum. EVA London 2020. London 06 - 06 Jul 2020 BCS Learning & Development. https://doi.org/10.14236/ewic/eva2020.4

Conference paper

Turing’s Sunflowers: Public research and the role of museums

Borda, A. and Bowen, J.P. (2020). Turing’s Sunflowers: Public research and the role of museums. EVA London 2020. London 06 - 06 Jul 2020 BCS Learning & Development. https://doi.org/10.14236/ewic/eva2020.5

Conference paper

Computational Culture and A.I.: Challenging human identity and curatorial practice

Bowen, J.P., Giannini, T., Polmeer, G., Falconer, R., Miller, A.I. and Dunn, S. (2020). Computational Culture and A.I.: Challenging human identity and curatorial practice. EVA London 2020. London 06 - 06 Jul 2020 BCS Learning & Development. https://doi.org/10.14236/ewic/eva2020.1

Conference paper

Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series

Alkan, B. and Bullock, S. (2020). Assessing operational complexity of manufacturing systems based on algorithmic complexity of key performance indicator time-series. Journal of the Operational Research Society. https://doi.org/10.1080/01605682.2020.1779622

Journal article

Survey for Smart Farming Technologies: Challenges and Issues

Idoje, G., Dagiuklas, A. and Iqbal, M. (2020). Survey for Smart Farming Technologies: Challenges and Issues. Computers and Electrical Engineering. 92, p. 107104. https://doi.org/10.1016/j.compeleceng.2021.107104

Journal article

Three‐way decision of target threat decision making based on adaptive threshold algorithms

Li, B., Tian, Li., Han, Y. and Chen, D. (2020). Three‐way decision of target threat decision making based on adaptive threshold algorithms. The Journal of Engineering. 2020 (13), pp. 293-297. https://doi.org/10.1049/joe.2019.1202

Journal article

Effectiveness analysis of ship formation air defence based on deep belief network

Li, B., Luo, H., Wang, Y. and Chen, D. (2020). Effectiveness analysis of ship formation air defence based on deep belief network. The Journal of Engineering. 2020 (13), pp. 394-398. https://doi.org/10.1049/joe.2019.1201

Journal article

Maneuvering target tracking of UAV based on MN-DDPG and transfer learning

Li, B., Yang, Z.P., Chen, D.Q., Liang, S.Y. and Ma, H. (2020). Maneuvering target tracking of UAV based on MN-DDPG and transfer learning. Defence Technology. https://doi.org/10.1016/j.dt.2020.11.014

Journal article

Is machine learning prediction of Aβ positivity consistent? An assessment of multiple datasets

Grecchi, E., Grisan, E., Buckley, C. and Wolber, J. (2020). Is machine learning prediction of Aβ positivity consistent? An assessment of multiple datasets. Wiley. https://doi.org/10.1002/alz.040990

Conference poster

A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs

Alkan, B., Seth, B., Galvin, K. and Johnson, A. (2020). A Design Process Framework to Deal with Non-functional Requirements in Conceptual System Designs. Complex Systems Design & Management. Paris 15 - 17 Dec 2020

Conference paper

Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation

Yao, F, Alkan, B, Ahmad, B and Harrison, R (2020). Improving just-in-time delivery performance of IoT-enabled flexible manufacturing systems with AGV based material transportation. Sensors (Switzerland). 20 (21), pp. 1-25. https://doi.org/10.3390/s20216333

Journal article

Investigating the Entrepreneurial Pivoting Experience of UK-based Technology Start-ups

Sala, P., Philbin, S. and Barikzai, S. (2020). Investigating the Entrepreneurial Pivoting Experience of UK-based Technology Start-ups. ISPIM (International Society for Professional Innovation Management) Connects Global 2020: Celebrating the World of Innovation - Virtual, 6-8 December 2020. Virtual Conference 06 - 08 Dec 2020

Conference paper

A Security and Authentication Layer for SCADA/DCS Applications

Homay, A., Chrysoulas, C., Boudani, B.E., de Sousa, M. and Wollschlaeger, M. (2020). A Security and Authentication Layer for SCADA/DCS Applications. Microprocessors and Microsystems. p. 103479. https://doi.org/10.1016/j.micpro.2020.103479

Journal article

Lip Reading Sentences Using Deep Learning with Only Visual Cues

Fenghour, S., Chen, D., Guo, K. and Xiao, P. (2020). Lip Reading Sentences Using Deep Learning with Only Visual Cues. IEEE Access. https://doi.org/10.1109/ACCESS.2020.3040906

Journal article

Deep Learning Causal Attributions of Breast Cancer

Chen, D, Hajderanj, L, Mallet, S, Camenen, P, Li, B, Ren, H and Zhao, E (2020). Deep Learning Causal Attributions of Breast Cancer. Computing 2021. London 15 - 16 Jul 2021 The Science and Information (SAI) Organization. https://doi.org/10.1007/978-3-030-80129-8_10

Conference paper

UAV Maneuvering Target Tracking in Uncertain Environments based on Deep Reinforcement Learning and Meta-learning

Li, B., Gan, Z., Chen, D. and Aleksandrovich, D.S. (2020). UAV Maneuvering Target Tracking in Uncertain Environments based on Deep Reinforcement Learning and Meta-learning. Remote Sensing. 12 (22), p. 3789. https://doi.org/10.3390/rs12223789

Journal article

Multiobjective Optimization Algorithms for Wireless Sensor Networks

Kandris, D., Alexandridis, A., Dagiuklas, A., Panaousis, E. and Vergados, D. (2020). Multiobjective Optimization Algorithms for Wireless Sensor Networks. Wireless Communications and Mobile Computing. 2020, pp. 1-5. https://doi.org/10.1155/2020/4652801

Journal article

Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing

Hajderanj, L., Chen, D., Grisan, E. and Dudley-McEvoy, S (2020). Single- and Multi-Distribution Dimensionality Reduction Approaches for a Better Data Structure Capturing. IEEE Access. 8, pp. 207141 - 207155. https://doi.org/10.1109/ACCESS.2020.3038460

Journal article

Learning Bayesian Networks based on Order Graph with Ancestral Constraints

Wang, Z., Gao, X., Tian, X., Yang, Y. and Chen, D. (2020). Learning Bayesian Networks based on Order Graph with Ancestral Constraints. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2020.106515

Journal article

Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)

El Boudani, B., Kanaris, L., Kokkinis, A., Kyriacou, M., Chrysoulas, C., Stavrou, S. and Dagiuklas, A. (2020). Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture). Sensors. 20 (19), p. e5495. https://doi.org/10.3390/s20195495

Journal article

Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains.

Corain, L., Grisan, E., Graïc, J., Carvajal-Schiaffino, R., Cozzi, B. and Peruffo, A. (2020). Multi-aspect testing and ranking inference to quantify dimorphism in the cytoarchitecture of cerebellum of male, female and intersex individuals: a model applied to bovine brains. Brain structure & function. https://doi.org/10.1007/s00429-020-02147-x

Journal article

Do bookmaker loyalty-programmes cause problem gambling?

Marjan, A., Graham, C., Bruce, M. and Mitchell, A. (2020). Do bookmaker loyalty-programmes cause problem gambling? London London South Bank University. https://doi.org/10.18744/lsbu.8q66q

Working paper

An Adaptive Software Fault Tolerant Framework for Ubiquitous Vehicular Technologies

Rizwan, M., Nadeem, A., Iqbal, M., Sarwar, S., Safyan, M. and Qayyum, Z.U. (2020). An Adaptive Software Fault Tolerant Framework for Ubiquitous Vehicular Technologies. IEEE Communications Standards Magazine. 4 (4), pp. 26-32. https://doi.org/10.1109/MCOMSTD.001.2000012

Journal article

A Centralised Hybrid Routing Model for Multi-Controller SD-WANs

Ghosh, S, Iqbal, M. and Dagiuklas, A. (2020). A Centralised Hybrid Routing Model for Multi-Controller SD-WANs. Transactions on Emerging Telecommunications Technologies. 32 (6), p. e4252. https://doi.org/10.1002/ett.4252

Journal article

Performance Analysis of Hybrid UAV Networks for Probabilistic Content Caching

Zhu, Y. (2020). Performance Analysis of Hybrid UAV Networks for Probabilistic Content Caching. IEEE Systems Journal. https://doi.org/10.1109/JSYST.2020.3013786

Journal article

Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT

Zhang, J., Zhu, Y., Ma, S., Li, X. and Wong, K.K. (2020). Large System Analysis of Downlink MISO-NOMA System via Regularized Zero-Forcing Precoding with Imperfect CSIT. IEEE Communications Letters. 24 (11), pp. 2454-2458. https://doi.org/10.1109/lcomm.2020.3010422

Journal article

Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks

Nazir, S., Patel, S. and Patel, D. (2020). Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks. International Journal of Artificial Intelligence and Machine Learning. 10 (2), pp. 1-17. https://doi.org/10.4018/ijaiml.2020070101

Journal article

Dynamic priority-based efficient resource allocation and computing framework for vehicular multimedia cloud computing

Siddiqi, MH, Alruwaili, M, Ali, A, Haider, SF, Ali, F and Iqbal, M (2020). Dynamic priority-based efficient resource allocation and computing framework for vehicular multimedia cloud computing. IEEE Access. 8, pp. 81080-81089. https://doi.org/10.1109/ACCESS.2020.2990915

Journal article