Computer Science and Informatics

Type	Division
School	Engineering

Latest research outputs

Sort by Date Title

Iterated Local Search Algorithm for Clustering Wireless Sensor Networks.

Dudley, S, Oladimeji, MO and Turkey, M (2016). Iterated Local Search Algorithm for Clustering Wireless Sensor Networks. 2016 IEEE Congress on Evolutionary Computation (CEC). Vancouver, Canada 24 - 29 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC.2016.7744200

Conference paper

Joint Activity and Attenuation Reconstruction From Multiple Energy Window Data With Photopeak Scatter Re-Estimation in Non-TOF 3-D PET

Brusaferri, L., Bousse, A., Emond, E.C., Brown, R., Tsai, Y-J., Atkinson, D., Ourselin, S., Watson, C.C., Hutton, B.F., Arridge, S. and Thielemans, K. (2020). Joint Activity and Attenuation Reconstruction From Multiple Energy Window Data With Photopeak Scatter Re-Estimation in Non-TOF 3-D PET. IEEE Transactions on Radiation and Plasma Medical Sciences. pp. 410 - 421. https://doi.org/10.1109/trpms.2020.2978449

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

Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method

Guo, Zhi-gao, Gao, Xiao-guang, Hao, Ren, Yang, Yu, Di, Ruo-hai and Chen, D (2017). Learning Bayesian Network Parameters from a Small Data Set: A Further Constrained Qualitatively Maximum a Posteriori Method. International Journal of Approximate Reasoning. 91 (Dec), pp. 22-35. https://doi.org/10.1016/j.ijar.2017.08.009

Journal article

Learning Bayesian network parameters via minimax algorithm

Gao, X, Gao, G, Ren, H, Chen, D and He, C (2019). Learning Bayesian network parameters via minimax algorithm. International Journal of Approximate Reasoning. 108, pp. 62-75. https://doi.org/10.1016/j.ijar.2019.03.001

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

Learning Bayesian Networks using the Constrained Maximum a Posteriori Probability Method

Yang, Y, Gao, X, Guo, Z and Chen, D (2019). Learning Bayesian Networks using the Constrained Maximum a Posteriori Probability Method. Pattern Recognition. 91, pp. 123-134. https://doi.org/10.1016/j.patcog.2019.02.006

Journal article

Learning the structure of Bayesian networks with ancestral and/or heuristic partition

Tan, X., Gao, X., Wang, Z., Han, H., Liu, X. and Chen, D. (2021). Learning the structure of Bayesian networks with ancestral and/or heuristic partition. Information Sciences. https://doi.org/10.1016/j.ins.2021.10.052

Journal article

Legal Education Meets Computer Science: An Interdisciplinary Approach to Teaching LawTech

Russell, A., Otoyo, L., Silver, K. and Unger, A. (2022). Legal Education Meets Computer Science: An Interdisciplinary Approach to Teaching LawTech. in: Thanaraj, A. & Geldhill, K. (ed.) Teaching Legal Education in the Digital Age - Pedagogical Practices to Digitally Empower Law Graduates Routledge. pp. chapter 11

Book chapter

Life in Code and Digits: When Shannon met Turing

Bowen, J. and Giannini, T (2017). Life in Code and Digits: When Shannon met Turing. Bowen, JP, Diprose, G and Lambert, N (ed.) Electronic Visualisation and the Arts (EVA 2017). London, UK 11 - 13 Jul 2017 BCS.

Conference paper

Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper)

Shahzadi, S., Iqbal, M., Wang, X., Ubakanma, G., Dagiuklas, A. and Tchernykh, A. (2019). Lightweight Computation to Robust Cloud Infrastructure for Future Technologies (Workshop Paper). Wang, Xinheng, Gao, Honghao, Iqbal, Muddesar and Min, Geyong (ed.) CollaborateCom 2019 - 15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing. London 19 - 22 Nov 2019 Springer. pp. 3-11

Conference paper

Limitations of recreational camera traps for wildlife management and conservation research: a practitioner's perspective.

Newey, S, Davidson, P, Nazir, S., Fairhurst, G, Verdicchio, F, Irvine, RJ and van der Wal, R (2015). Limitations of recreational camera traps for wildlife management and conservation research: a practitioner's perspective. Ambio. 44 (S4), pp. 624-635. https://doi.org/10.1007/s13280-015-0713-1

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

Liquidity transmission and the subprime mortgage crisis: a multivariate GARCH approach

Xiao, L., Dhesi, G., Ceptureanu, E.G., Lin, K., Herteliu, C., Syed, B. and Ceptureanu, S.I. (2020). Liquidity transmission and the subprime mortgage crisis: a multivariate GARCH approach. Soft Computing. 10. https://doi.org/10.1007/s00500-020-04772-4

Journal article

Load-Balancing for Edge QoE-Based VNF Placement for OTT Video Streaming

Bulkan, U, Iqbal, M and Dagiuklas, T (2019). Load-Balancing for Edge QoE-Based VNF Placement for OTT Video Streaming. IEEE Globecom Workshops (GC Wkshps). Abu Dhabi, United Arab Emirates, United Arab Emirates 09 - 13 Dec 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/GLOCOMW.2018.8644214

Conference paper

Local Experts Finding using User Comments in Location-based Social Networks

Cao, J, Yang, Y, Cao, B, Xue, L, Li, S, Iqbal, M and Mumtaz, S (2019). Local Experts Finding using User Comments in Location-based Social Networks. Transactions on Emerging Telecommunications Technologies. 30 (9). https://doi.org/10.1002/ett.3600

Journal article

Localisation of Multiple Non-Isolated Microbubbles with Frequency Decomposition in Super-Resolution Imaging

Harput, S., Christensen-Jeffries, K., Brown, J., Eckersley, R.J., Dunsby, C. and Tang, M-X. (2017). Localisation of Multiple Non-Isolated Microbubbles with Frequency Decomposition in Super-Resolution Imaging. 2017 IEEE International Ultrasonics Symposium (IUS). Washington, DC, USA 06 - 09 Sep 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2017.8091553

Conference paper

Making Better Use of Big Data

Chen, D (2016). Making Better Use of Big Data. LSBU Enterprise Count Event, March 2016. London Southbank University 18 - 18 Mar 2016 London South Bank University.

Conference presentation

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

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

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

Methods to Improve the Prediction Accuracy and Performance of Ensemble Models

Adegoke, V. (2022). Methods to Improve the Prediction Accuracy and Performance of Ensemble Models. MPhil Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.92856

MPhil Thesis

ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments

Wan, K., Wu, D., Li, B., Gao, X., Hu, Z. and Chen, D. (2021). ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments. International Journal of Intelligent Systems. 37 (3), pp. 2393-2427. https://doi.org/10.1002/int.22778

Journal article

Microbubble Axial Localization Errors in Ultrasound Super-Resolution Imaging

Christensen-Jeffries, K, Harput, S., Brown, J., Wells, P.N.T., Aljabar, P., Dunsby, C.W., Tang, M. and Eckersley, R.J. (2017). Microbubble Axial Localization Errors in Ultrasound Super-Resolution Imaging. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 64 (11), p. 2017. https://doi.org/10.1109/TUFFC.2017.2741067

Journal article

Microtext Line Charts

Brath, R and Banissi, E (2017). Microtext Line Charts. 21st International Conference Information Visualisation. London 11 - 14 Jul 2017

Conference paper

Mitigating MAC Layer Performance Anomaly of Wi-Fi Networks through Adaptable Channelization

Hussain, A, Safyan, M, Sarwar, S, Ul, QZ, Iqbal, M and Saqib, NA (2019). Mitigating MAC Layer Performance Anomaly of Wi-Fi Networks through Adaptable Channelization. Proceedings of ISP RAS. 31 (2), pp. 53-66. https://doi.org/10.15514/ISPRAS-2019-31(2)-5

Journal article

MM DialogueGAT- A Fusion Graph Attention Network for Emotion Recognition using Multi-model System

Fu, R., Gai, X., Al-Absi, A.A., Abdulhakim Al-Absi, M., Alam, M., Li, Y., Jiang, M. and Wang, X. (2024). MM DialogueGAT- A Fusion Graph Attention Network for Emotion Recognition using Multi-model System. IEEE Access. https://doi.org/10.1109/access.2024.3350156

Journal article

Mobile Edge Computing Potential in Making Cities Smarter

Taleb, T, Dutta, S, Ksentini, A, Iqbal, M and Flinck, H (2017). Mobile Edge Computing Potential in Making Cities Smarter. IEEE Communications Magazine. 55 (3). https://doi.org/10.1109/MCOM.2017.1600249CM

Journal article

Modelling quality of experience for online video advertisement insertion

Bulkan, U., Dagiuklas, A. and Iqbal, M. (2019). Modelling quality of experience for online video advertisement insertion. IEEE Transactions on Broadcasting. https://doi.org/10.1109/TBC.2020.2965064

Journal article

Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation

Zaydullin, R., Bharath, A.A., Grisan, E., Christensen-Jeffries, K., Bai, W. and Tang, M-X. (2022). Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9958903

Conference paper

Mr-Nom: Multi-Scale Resolution of Neuronal Cells in Nissl-Stained Histological Slices Via Deliberate over-Segmentation and Merging

Vadori, V., Graïc, J-M., Finos, L., Corain, L., Peruffo, A. and Grisan, E. (2023). Mr-Nom: Multi-Scale Resolution of Neuronal Cells in Nissl-Stained Histological Slices Via Deliberate over-Segmentation and Merging. IEEE. https://doi.org/10.1109/isbi53787.2023.10230352

Conference paper

MRI-based mechanical analysis of carotid atherosclerotic plaque using a material-property-mapping approach: A material-property-mapping method for plaque stress analysis

Mendieta, J.B., Fontanarosa, D., Wang, J., Paritala. P.K., Muller, J., Lloyd, T. and Li, Z. (2023). MRI-based mechanical analysis of carotid atherosclerotic plaque using a material-property-mapping approach: A material-property-mapping method for plaque stress analysis. Computer Methods and Programs in Biomedicine. 231, p. 107417. https://doi.org/10.1016/j.cmpb.2023.107417

Journal article

Multi-Access Edge Computing: Open issues, Challenges and Future Perspective

Shahzadi, S, Iqbal, M, Dagiuklas, T and Qayyum, Z (2017). Multi-Access Edge Computing: Open issues, Challenges and Future Perspective. Journal of Cloud Computing : Advances, Systems and Applications. 6 (1). https://doi.org/10.1186/s13677-017-0097-9

Journal article

Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks

Xia, W., Zhu, Y., De Simone, L., Dagiuklas, A., Wong, K-K. and Zhen, G. (2022). Multi-Agent Collaborative Learning for UAV Enabled Wireless Networks. IEEE Journal on Selected Areas in Communications. pp. 2630 - 2642. https://doi.org/10.1109/JSAC.2022.3191329

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

Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization

Abid, F., Alam, M., Alamri, F.S. and Siddique, I. (2023). Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization. AIMS Mathematics. 8 (9), pp. 19993-20017. https://doi.org/10.3934/math.20231019

Journal article

Multi-Global Models for Edge Computing Environment

Bashir, S., Dagiuklas, T., Kassai, K. and Iqbal, M. (2024). Multi-Global Models for Edge Computing Environment. The Alan Turing Institute, UK-AI ECR Connect 2024. Queen Elizabeth II Centre, London UK 18 - 22 Mar 2024 The Alan Turing Institute.

Conference poster

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

Multiply and conquer: A replication framework for building fault tolerant industrial applications

De Sousa, M, Chrysoulas, C and Homay, A (2015). Multiply and conquer: A replication framework for building fault tolerant industrial applications. 2015 IEEE 13th International Conference on Industrial Informatics. Cambridge, UK 22 - 24 Jul 2015 Institute of Electrical and Electronics Engineers (IEEE). pp. 1342-1347 https://doi.org/10.1109/INDIN.2015.7281930

Conference item