Computer Science and Informatics
Type | Division |
---|---|
School | Engineering |
Latest research outputs
Deep Learning-based Automated Lip-Reading: A Survey
Fenghour, S., Chen, D., Guo, K., Li, B. and Xiao, P. (2021). Deep Learning-based Automated Lip-Reading: A Survey. IEEE Access. https://doi.org/10.1109/ACCESS.2021.3107946Journal article
Deep Learning Causal Attributions of Breast Cancer
Chen, D., Hajderanj, L., Mallet, S., Camenen, P., Li, B., Hao, R. and Zhao, E. (2021). Deep Learning Causal Attributions of Breast Cancer. in: Arai, K. (ed.) Intelligent Computing, Proceedings of the 2021 Computing Conference, Lecture Notes in Networks and Systems, Vol 285, Intelligent Computing (A. Kohei, Editor) Springer.Book chapter
Digital Loyalty Programmes: Pull Strategies in B2B Channel Marketing
Marjan, A., Graham, C., Bruce, M. and Mitchell, A. (2021). Digital Loyalty Programmes: Pull Strategies in B2B Channel Marketing. Advances in Marketing, Customer Relationship Management, and E-Services. https://doi.org/10.4018/978-1-7998-8003-5.ch004Journal article
EkmEx - An Extended Framework for Labeling an Unlabeled Fault Dataset
Rizwan, M., Nadeem, A., Sarwar, S., Iqbal, M., Safyan, M. and Ul Qayyum, Z. (2021). EkmEx - An Extended Framework for Labeling an Unlabeled Fault Dataset. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-021-11441-7Journal article
A Dynamic and Scalable User-centric Route Planning Algorithm Based on Polychromatic Sets Theory
Li, P., Wang, X., Gao, H., Xu, X., Iqbal, M. and Dahal, K. (2021). A Dynamic and Scalable User-centric Route Planning Algorithm Based on Polychromatic Sets Theory. IEEE Transactions on Intelligent Transportation Systems. pp. 1-11. https://doi.org/10.1109/TITS.2021.3085026Journal article
Robust, Resilient and Reliable Architecture for V2X Communication
Khan, M.A., Ghosh, S., Busari, S.A., Huq, K.M.S., Dagiuklas, A., Mumtaz, S., Iqbal, M. and Rodriguez, J. (2021). Robust, Resilient and Reliable Architecture for V2X Communication. IEEE Transactions on Intelligent Transportation Systems. https://doi.org/10.1109/TITS.2021.3084519Journal article
Autoencoder Based Anomaly Detection for SCADA Networks
Nazir, S., Patel, S. and Patel, D. (2021). Autoencoder Based Anomaly Detection for SCADA Networks. International Journal of Artificial Intelligence and Machine Learning. 11 (2), pp. 83-99. https://doi.org/10.4018/ijaiml.20210701.oa6Journal article
6G Vision: Towards Future Collaborative Cognitive Communication (3C) Systems
Shahzadi S., Iqbal, M. and Riaz Chaudhry N. (2021). 6G Vision: Towards Future Collaborative Cognitive Communication (3C) Systems. IEEE Communications Standards Magazine. 5 (2), pp. 60-67. https://doi.org/10.1109/MCOMSTD.001.2000044Journal article
A novel data-driven approach to support decision-making during production scale-up of assembly systems
Alkan, B. (2021). A novel data-driven approach to support decision-making during production scale-up of assembly systems. Journal of Manufacturing Systems. 59, pp. 577-595. https://doi.org/10.1016/j.jmsy.2021.03.018Journal article
Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off
Alkan, B., Bullock, S. and Galvin, K. (2021). Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off. IEEE Access. 9, pp. 57907 - 57921. https://doi.org/10.1109/ACCESS.2021.3072955Journal article
Exploring entrepreneurial pivoting and the factors that trigger pivots by tech startups
Sala, P., Philbin, S. and Barikzai, S. (2021). Exploring entrepreneurial pivoting and the factors that trigger pivots by tech startups. TEMSCON’21: 2021 IEEE Technology & Engineering Management Conference – Europe.. Virtual Conference 17 - 21 May 2021 Institute of Electrical and Electronics Engineers (IEEE).Conference paper
Towards An SDN Assisted IDS
Sutton, R., Ludwiniak, R., Pitropakis, N., Chrysoulas, C. and Dagiuklas, T. (2021). Towards An SDN Assisted IDS. 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS). https://doi.org/10.1109/ntms49979.2021.9432651Journal article
The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study
Hajderanj, L., Chen, D. and Weheliye, I. (2021). The Impact of Supervised Manifold Learning on Structure Preserving and Classification Error: A Theoretical Study. IEEE Access. 9. https://doi.org/10.1109/ACCESS.2021.3066259Journal article
Enhancing Transformer-based language models with Commonsense Representations for Knowledge-driven Machine Comprehension
Li, R., Jiang, Z., Wang, L., Lu, X., Zhao, M. and Chen, D. (2021). Enhancing Transformer-based language models with Commonsense Representations for Knowledge-driven Machine Comprehension. Knowledge-Based Systems. 220, p. 106936. https://doi.org/10.1016/j.knosys.2021.106936Journal article
Enabling Real-Time AI Edge Video Analytics
Tsakanikas, V. and Dagiuklas, A. (2021). Enabling Real-Time AI Edge Video Analytics. IEEE International Conference on Communications. Montreal 14 - 23 Jun 2021 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICC42927.2021.9500902Conference paper
A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing
Ghosh, S., El Boudani, B., Dagiuklas, A. and Iqbal, M. (2021). A Self-Organised Knowledge Defined Networks Architecture for Reliable Routing. 4th International Conference on Information Science and Systems ICISS 2021. Edinburugh 17 - 19 Mar 2021 ACM.Conference paper
Positioning as Service for 5G IoT Networks
El Boudani, B., Kanaris, L., Kokkinis, A., Chrysoulas, C., Dagiuklas, A. and Stavrou, S. (2021). Positioning as Service for 5G IoT Networks. 2021 Telecoms Conference (ConfTELE). Leiria 10 - 12 Feb 2021 Institute of Electrical and Electronics Engineers (IEEE).Conference paper
A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Distributed MEC
Ugwuanyi, E., Iqbal, M. and Dagiuklas, A. (2021). A Comparative Analysis of Deadlock Avoidance and Prevention Algorithms for Resource Provisioning in Distributed MEC. IEEE Transactions on Computational Social Systems.Journal article
A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs)
Ugwuanyi, E.E., Iqbal, M. and Dagiuklas, A. (2021). A Novel Predictive-Collaborative-Replacement (PCR) Intelligent Caching Scheme for Multi-Access Edge Computing (MECs). IEEE Access. 9, pp. 37103 - 37115. https://doi.org/10.1109/ACCESS.2021.3058769Journal article
Deep learning for the prediction of treatment response in depression
Squarcina, L., Villa, F.M., Nobile, M., Grisan, E. and Brambilla, P. (2021). Deep learning for the prediction of treatment response in depression. Journal of Affective Disorders. 281, pp. 618-622. https://doi.org/10.1016/j.jad.2020.11.104Journal article
Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling
Iacucci, M, Grisan, E, Labarile, N, Nardone, OM, Smith, SCL, Jeffery, L, Cannatelli, R, Ghosh, S and Buda, A (2021). Response to Biologics in Ibd Patients Assessed by Computerized Image Analysis of Probe Based Confocal Laser Endomicroscopy With Molecular Labeling. ESGE Days 2021. Virtual 25 - 27 Mar 2021 Georg Thieme Verlag KG. https://doi.org/10.1055/s-0041-1724759Conference poster
Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging
Grisan, E., Harput, S., Raffeiner, B., Fiocco, U. and Stramare, R. (2021). Deep-Learning Estimation of Perfusion Kinetic Parameters in Contrast-Enhanced Ultrasound Imaging. IEEE International Symposium on Biomedical Imaging - IEEE ISBI. Nice 13 - 16 Apr 2021 Institute of Electrical and Electronics Engineers (IEEE).Conference paper
User Selection in Reconfigurable Intelligent Surface Assisted Communication Systems
Gan, Xu, Zhong, C., Zhu, Y. and Zhong, Z. (2021). User Selection in Reconfigurable Intelligent Surface Assisted Communication Systems. IEEE Communications Letters. 25 (4), pp. 1353-1357. https://doi.org/10.1109/lcomm.2020.3048782Journal article
The claustrum of the sheep and its connections to the visual cortex
Pirone, A., Graïc, J., Grisan, E. and Cozzi, B. (2020). The claustrum of the sheep and its connections to the visual cortex. Journal of Anatomy. 238 (1), pp. 1-12. https://doi.org/10.1111/joa.13302Journal article
The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms
Xiao, P., Zhang, Xu, Pan, Wei, Ou, Xiang, Bontozoglou, C., Chirikhina, E. and Chen, D. (2020). The Development of a Skin Image Analysis Tool by Using Machine Learning Algorithms. Cosmetics. 7 (3), p. e67. https://doi.org/10.3390/cosmetics7030067Journal 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/10.1007/978-3-030-45688-7Conference 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.2020.10.049Journal 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.8z0y5PhD 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/eva2020.3Conference 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/eva2020.2Conference 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/eva2020.4Conference 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/eva2020.5Conference 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/eva2020.1Conference 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/10.1080/01605682.2020.1779622Journal 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.2021.107104Journal 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.2019.1202Journal 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.2019.1201Journal 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.2020.11.014Journal 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.040990Conference 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 2020Conference paper
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