Computer Science and Informatics
Type | Division |
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School | Engineering |
Latest research outputs
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 Bone Thickness Assessment from Multi-frequency Ultrasound RF Data using a Convolutional Architecture with Multi-head Attention
Sultan, H.H., Grisan, E., Dryburgh, P., Peralta, L. and Harput, S. (2023). Cortical Bone Thickness Assessment from Multi-frequency Ultrasound RF Data using a Convolutional Architecture with Multi-head Attention. 2023 IEEE International Ultrasonics Symposium (IUS). Montreal, QC, Canada 03 - 08 Sep 2023 IEEE. https://doi.org/10.1109/ius51837.2023.10307373Conference 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
Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus
Graïc, J-M., Finos, L., Cozzi, B., Luisetto, R., Gerussi, T, Doria, A., Vadori, V., Grisan, E., Corain, L. and Peruffo, A. (2023). Cytoarchitectureal changes in hippocampal subregions of the NZB/W F1 mouse model of lupus. Brain, Behavior and Immunity. 32 (October), p. 100662. https://doi.org/10.1016/j.bbih.2023.100662Journal article
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 and Social Media Marketing. 8 (3), pp. 1-6.Journal article
Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids
Saleem, K., Alkan, B. and Dudley-Mcevoy, S. (2023). Data Driven Machine Learning Model for Condition Monitoring and Anomaly Detection in Power Grids. 2023 IEEE Power & Energy Society General Meeting. Orlando, Florida, US 10 - 16 Jul 2023 Institute of Electrical and Electronics Engineers (IEEE).Conference paper
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 analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes
Salimian, A. and Grisan, E. (2024). Deep learning analysis of plasma emissions: A potential system for monitoring methane and hydrogen in the pyrolysis processes. International Journal of Hydrogen Energy. 58, pp. 1030-1043. https://doi.org/10.1016/j.ijhydene.2024.01.251Journal 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
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 Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface
Dagiuklas, A. (2023). Deep Reinforcement Learning for Secrecy Energy-Efficient UAV Communication with Reconfigurable Intelligent Surface. IEEE WCNC. Scotland 26 - 29 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/wcnc55385.2023.10118891Conference presentation
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 Institute of Electrical and Electronics Engineers (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. 8 (1), pp. 128-139. 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
Distributed deep networks based on Bagging-Down SGD algorithm
Qin, C, Gao, X and Chen, D (2019). Distributed deep networks based on Bagging-Down SGD algorithm. Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics. 41 (5), pp. 1021-1027. https://doi.org/10.3969/j.issn.1001-506X.2019.05.13Journal 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.8q66qWorking paper
DocsChain: Blockchain based IoT Solution for Verficiation of Degree Documents
Rasool, S., Saleem, A., Iqbal, M., Dagiuklas, A., Mumtaz, S. and Ul Qayyum, Z. (2020). DocsChain: Blockchain based IoT Solution for Verficiation of Degree Documents. IEEE Transactions on Computational Social Systems. pp. 827-837. https://doi.org/10.1109/TCSS.2020.2973710Journal article
Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification?
Rafailidis, V., Chryssogonidis, I., Grisan, E., Xerras, C., Cheimariotis, G-A., Tegos, T., Rafailidis, D., Sidhu, P. and Charitanti-Kouridou, A. (2019). Does Quantification of Carotid Plaque Surface Irregularities Better Detect Symptomatic Plaques Compared to the Subjective Classification? Journal of Ultrasound in Medicine. 38 (12), pp. 3163-3171. https://doi.org/10.1002/jum.15017Journal article
Dynamic Forces Of Organizational Change: Alignment Of Interests & Imposition Of Identity
Tanner, J (2018). Dynamic Forces Of Organizational Change: Alignment Of Interests & Imposition Of Identity. Prof Doc Thesis London South Bank University School of Engineering https://doi.org/10.18744/PUB.002737Prof Doc Thesis
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.2020.2990915Journal article
Dynamic Wireless Information and Power Transfer Scheme for Nano-Empowered Vehicular Networks
Fen, L., Ali, A., Iqbal, M., Ali, F., Raza, I., Hameed Saddiqui, M., Shafiq, M. and Asad Hussain, S. (2020). Dynamic Wireless Information and Power Transfer Scheme for Nano-Empowered Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. pp. 1-12. https://doi.org/10.1109/TITS.2020.3020254Journal article
Editorial: Collaborative Computing for Data-Driven Systems
Wang, X, Iqbal, M, Gao, H, Huang, K and Tchernykh, A (2019). Editorial: Collaborative Computing for Data-Driven Systems. Mobile Networks and Applications. https://doi.org/10.1007/s11036-019-01452-yJournal article
Edu-Cloud: On-the-fly Employability Skills as a Service
Shahzadi, S, Iqbal, M and Dagiuklas, T (2017). Edu-Cloud: On-the-fly Employability Skills as a Service. Computer Applications in Engineering Education. 26 (2), pp. 314-325. https://doi.org/10.1002/cae.21886Journal article
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