Computer Science and Informatics
Type | Division |
---|---|
School | Engineering |
Latest research outputs
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 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
Improved PET/CT Respiratory Motion Compensation by Incorporating Changes in Lung Density
Emond, E.C., Bousse, A., Brusaferri, L., Hutton, B.F. and Thielemans, K. (2020). Improved PET/CT Respiratory Motion Compensation by Incorporating Changes in Lung Density. IEEE Transactions on Radiation and Plasma Medical Sciences. pp. 594 - 602. https://doi.org/10.1109/trpms.2020.3001094Journal article
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.2020.2978449Journal article
Optical coherence tomography-based patient-specific coronary artery reconstruction and fluid–structure interaction simulation
Wang, J., Paritala, P.K., Mendieta, J.B., Komori, Y., Raffel, O.C., Gu, Y. and Li, Z. (2020). Optical coherence tomography-based patient-specific coronary artery reconstruction and fluid–structure interaction simulation. Biomechanics and Modeling in Mechanobiology. 19, pp. 7-20. https://doi.org/10.1007/s10237-019-01191-9Journal article
Characterization of the Atherosclerotic Plaque Tissue
Paritala, P.K., Yarlagadda, T., Mendieta, J.B., Wang, J., Gu, Y., Li, Z. and Yarlagadda, P.K.D.V. (2020). Characterization of the Atherosclerotic Plaque Tissue. Advanced Materials Letters. 11 (5). https://doi.org/10.5185/amlett.2020.051507Journal article
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/s10237-019-01282-7Journal 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.25.9.095003Journal 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.2020.00060Journal 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.2020.00749Journal 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
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/s20216333Journal 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 2020Conference 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.2020.103479Journal article
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