Computer Science and Informatics
Type | Division |
---|---|
School | Engineering |
Latest research outputs
Component-based modelling for scalable smart city systems interoperability: A case study on integrating energy demand response systems
Palomar, E, Chen, X, Liu, Z, Maharjan, S and Bowen, J. (2016). Component-based modelling for scalable smart city systems interoperability: A case study on integrating energy demand response systems. Sensors. 16 (11), p. 1810. https://doi.org/10.3390/s16111810Journal article
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
Computational Intelligence Algorithms for Optimisation of Wireless Sensor Networks
Oladimeji, MO (2017). Computational Intelligence Algorithms for Optimisation of Wireless Sensor Networks. PhD Thesis London South Bank University School of EngineeringPhD Thesis
Computer Graphics, Imaging & Visualization — New Techniques and Trends
Banissi, E, Sarfraz, M and Fakir, M Banissi, E (ed.) (2016). Computer Graphics, Imaging & Visualization — New Techniques and Trends. CPS.Book
Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study
Iacucci, M., Jeffery, L., Acharjee, A., Grisan, E., Buda, A., Nardone, O.M., Smith, S.C.L., Labarile, N., Zardo, D., Ungar, B., Hunter, S., Mao, R., Cannatelli,R., Shivaji, U.N., Parigi, T.L., Reynolds, G.M., Gkoutos, G.V. and Ghosh, S. Computer-Aided Imaging Analysis of Probe-Based Confocal Laser Endomicroscopy With Molecular Labeling and Gene Expression Identifies Markers of Response to Biological Therapy in IBD Patients: The Endo-Omics Study. Inflammatory Bowel Diseases. 2022 (izac233), pp. 1-12. https://doi.org/0.1093/ibd/izac233Journal article
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
Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT
Ashiq, S., Banissi, E. and Chrysoulas, C. (2019). Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT. 2019 International Conference on Innovative Computing (ICIC). 01 - 02 Nov 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIC48496.2019.8966710Conference paper
Constrained Multiple Instance Learning for Ulcerative Colitis prediction using Histological Images
del Amor, R., Meseguera, P., Parigi, T.L., Villanacci, V., Colomer, A., Launet, L., Bazarova, A., Tontini, G.E., Bisschops, R., de Hertogh, G., Ferraz, J.G., Götz, M., Gui, Xi., Hayeem, B., Lazarev, M., Panaccione, R., Parra-Blanco, A., Bhandari, P., Pastorelli, L., Rath, T., Synnøve Røyset, E., Vieth, M., Zardo, D., Grisan, E., Ghosh, S., Iacucci, M. and Naranjo, V. (2022). Constrained Multiple Instance Learning for Ulcerative Colitis prediction using Histological Images. Computer methods and programs in biomedicine. 224, p. 107012. https://doi.org/10.1016/j.cmpb.2022.107012Journal article
Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks
Zhu, Y., Zheng, G., Wang, L., Wong, K-K. and Zhao, L. (2018). Content Placement in Cache-Enabled Sub-6 GHz and Millimeter-Wave Multi-Antenna Dense Small Cell Networks. IEEE Transactions on Wireless Communications. 17 (5), pp. 2843-2856. https://doi.org/10.1109/twc.2018.2794368Journal article
Context aware ontology‐based hybrid intelligent framework for vehicle driver categorization
Sarwar, S., Zia, S., Ul Qayyum, Z., Iqbal, M., Safyan, M., Mumtaz, S. and García‐Castro, R. (2019). Context aware ontology‐based hybrid intelligent framework for vehicle driver categorization. Transactions on Emerging Telecommunications Technologies. https://doi.org/10.1002/ett.3729Journal article
Context-Aware Personalized Activity Modeling in Concurrent Environment
Safyan, M, Zia, Q, Sarwar, S, Iqbal, M and Ahmed, M (2017). Context-Aware Personalized Activity Modeling in Concurrent Environment. 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). Exeter UK 21 - 23 Jun 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData.2017.150Conference paper
Contour Mapping for Speaker-Independent Lip Reading System
Fenghour, S, Chen, D and Xiao, P (2018). Contour Mapping for Speaker-Independent Lip Reading System. The 11th International Conference on Machine Vision (ICMV 2018). Munich, Germany 01 - 03 Nov 2018Conference paper
Contrast-enhanced ultrasound imaging with chirps: Signal processing and pulse compression
Harput, S., McLaughlan, J., Cowell, D. and Freear, S. (2015). Contrast-enhanced ultrasound imaging with chirps: Signal processing and pulse compression. 2015 IEEE International Ultrasonics Symposium (IUS). Taipei, Taiwan 21 Oct - 24 Nov 2015 https://doi.org/10.1109/ULTSYM.2015.0160Conference paper
Convertibility Evaluation of Automated Assembly System Designs for High Variety Production
Chinnathai, M.K., Alkan, B. and Harrison, R. (2017). Convertibility Evaluation of Automated Assembly System Designs for High Variety Production. Elsevier BV. https://doi.org/10.1016/j.procir.2017.01.005Conference paper
Copyright and Promotion: Oxymoron or Opportunity?
Numerico, T and Bowen, J. (2005). Copyright and Promotion: Oxymoron or Opportunity? EVA 2005. London 27 - 29 Jul 2005 London South Bank University.Conference paper
Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling
Palombit, A, Castellaro, M, Calabrese, M, Romualdi, C, Pizzini, FB, Montemezzi, S, Grisan, E and Bertoldo, A (2017). Cortical Thickness variability in Multiple Sclerosis: The role of lesion segmentation and filling. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Melbourne, VIC, Australia 18 - 21 Apr 2017 pp. 792-795 https://doi.org/10.1109/ISBI.2017.7950637Conference paper
Coupling of wideband impulses generated by granular chains into liquids for biomedical applications
Harput, S., Freear, S., Gelat, P., Saffari, N., Yang, J., Akanji, O., Thomas, P.J. and Hutchins, D.A. (2016). Coupling of wideband impulses generated by granular chains into liquids for biomedical applications. 2016 IEEE International Ultrasonics Symposium (IUS). Tours, France 18 - 21 Sep 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2016.7728481Conference paper
Crime Victims’ Demographics Inconsistently Relate to Self-Reported Vulnerability
Aihio, N, Frings, D, Wilcock, R and Burrell, P (2016). Crime Victims’ Demographics Inconsistently Relate to Self-Reported Vulnerability. Psychiatry, Psychology and Law. 24 (3), pp. 379-391. https://doi.org/10.1080/13218719.2016.1247418Journal article
Curating Digital Life and Culture: Art and information.
Giannini, T and Bowen, J. (2016). Curating Digital Life and Culture: Art and information. Bowen, JP, Diprose, G and Lambert, N (ed.) Electronic Visualisation and the Arts (EVA 2016). London, UK 12 - 14 Jul 2016 BCS.Conference paper
Dark Social: The biggest missed opportunity in digital marketing
Marjan, A., Graham, C., Bruce, M. and Mitchell, A. (2020). Dark Social: The biggest missed opportunity in digital marketing. Journal of Digital & Social Media Marketing. 8 (3), pp. 1-6.Journal article
Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining
Chen, D (2012). Data mining for the online retail industry: A case study of RFM model-based customer segmentation using data mining. Journal of Database Marketing and Customer Strategy Management. 19 (3), pp. 197-208. https://doi.org/10.1057/dbm.2012.17Journal article
Decoder-Encoder LSTM for Lip Reading
Fenghour, S., Chen, D. and Xiao, P. (2019). Decoder-Encoder LSTM for Lip Reading. Proceedings of the 2019 8th International Conference on Software and Information Engineering. https://doi.org/10.1145/3328833.3328845Journal article
Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients
Grisan, E., Zandon`a, A. and Di Camillo, B. (2019). Deep Convolutional Neural Network for Survival Estimation of Amyotrophic Lateral Sclerosis patients. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Bruges, Belgium 24 - 26 Apr 2019 i6doc.Conference paper
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
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_10Conference paper
Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics
Zhang, K, Zhu, Y, Leng, S, He, Y, Maharjan, S and Zhang, Y (2019). Deep Learning Empowered Task Offloading for Mobile Edge Computing in Urban Informatics. IEEE Internet of Things Journal. 6 (5), pp. 7635-7647. https://doi.org/10.1109/jiot.2019.2903191Journal 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
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 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
Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic
Alkan, B., Vera, D., Ahmad, M., Ahmad, B. and Harrison, R. (2016). Design Evaluation of Automated Manufacturing Processes Based on Complexity of Control Logic. Procedia CIRP. 50, pp. 141-146. https://doi.org/10.1016/j.procir.2016.05.031Journal article
Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance
Wang, Z, Chen, D and Xiao, P (2019). Design of a voice control 6DoF grasping robotic arm based on ultrasonic sensor, computer vision and Alexa voice assistance. International Conference on Information Technology in Medicine and Education. Qingdao, China 23 - 25 Aug 2019 IEEE. https://doi.org/10.1109/ITME.2019.00150Conference paper
Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis
Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Detection of a slow-flow component in contrast-enhanced ultrasound of the synovia for the differential diagnosis of arthritis. SPIE Medical Imaging. Orlando, FL, USA 11 - 16 Feb 2017 SPIE. https://doi.org/10.1117/12.2250818Conference paper
Determining Key (Predictor) Modules for Early Identification of Students At-Risk
Chen, D and Elliott, G (2013). Determining Key (Predictor) Modules for Early Identification of Students At-Risk. International Conference on Advanced Information Engineering and Education Science (ICAIEES 2013). Beijing, China 19 - 20 Dec 2013 Atlantis Press. https://doi.org/10.2991/icaiees-13.2013.22Conference paper
Developing Phoneme-based Lip-reading Sentences System for Silent Speech Recognition
El Bialy, R., Chen, D., Fenghour, S., Hussein, W., Xiao, P., Karam, O. H. and Li, B. (2022). Developing Phoneme-based Lip-reading Sentences System for Silent Speech Recognition. CAAI Transactions on Intelligence Technology. https://doi.org/10.1049/cit2.12131Journal article
Development of Highly Repellent Silica Particles for Protection of Hemp Shiv Used as Insulation Materials.
Bourebrab, MA, Durand, G and Taylor, A (2017). Development of Highly Repellent Silica Particles for Protection of Hemp Shiv Used as Insulation Materials. Materials. 11 (1), p. 4. https://doi.org/10.3390/ma11010004Journal article
Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy
Harput, S. (2018). Development of Simultaneous Optical Imaging and Super-Resolution Ultrasound to Improve Microbubble Localization Accuracy. 2018 IEEE International Ultrasonics Symposium (IUS). Kobe, Japan 22 - 25 Oct 2018 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2018.8580212Conference paper
Digital Art, Culture and Heritage: New constructs and consciousness
Bowen, J., Giannini, T., Ara, R., Lomas, A. and Siefring, J. (2019). Digital Art, Culture and Heritage: New constructs and consciousness. Electronic Visualisation and the Arts (EVA 2019). London 08 - 11 Jul 2019 BCS. https://doi.org/10.14236/ewic/EVA2019.1Conference paper
Digital Futures: Exhibits at EVA London 2018.
Papadimitriou, I and Bowen, J. (2018). Digital Futures: Exhibits at EVA London 2018. Bowen, Jonathan P, Weinel, Jonathan, Diprose, Graham and Lambert, Nick (ed.) Electronic Visualisation and the Arts (EVA) conference. London, UK 09 - 13 Jul 2018 BCS.Conference paper
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
Disabled Access for Museum Websites
Bowen, J. (2003). Disabled Access for Museum Websites. The Twelfth International World Wide Web Conference. Budapest, Hungary 20 - 24 May 2003 London South Bank University.Conference paper
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