Computer Science and Informatics
Type | Division |
---|---|
School | Engineering |
Latest research outputs
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
Enhancing Sustainability in Edge Computing Environments
Kassai, K., Dagiuklas, T., Bashir, S. and Iqbal, M. (2024). Enhancing Sustainability in Edge Computing Environments. 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
A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP3 REPORT
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2024). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP3 REPORT. London South Bank University.Documentation
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.2024.3350156Journal article
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
Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA
Xie, H., Wu, H., Wang, J., Mendieta, J.B., Yu, H., Xiang, Y., Anbananthan, H., Zhang, J., Zhao, H., Zhu, Z., Huang, Q., Fang, R., Zhu, C. and Li, Z. (2024). Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA. Computer Methods and Programs in Biomedicine. 244, p. 107975. https://doi.org/10.1016/j.cmpb.2023.107975Journal article
Security, Privacy and Trust of Distributed Ledgers Technology
Rasool, S., Iqbal, M., Shancang, L., Dagiuklas, A. and Ghosh, S. (2024). Security, Privacy and Trust of Distributed Ledgers Technology. in: Al-Dulami, A., Dobre, O.A. and I, C-L. (ed.) Blockchains: Empowering Technologies and Industrial Applications IEEE.Book chapter
Benchmarking Reidentification in Multi-Camera Tracking Systems with YOLOv8 and ResNet-50
Pal, S. and Dagiuklas, T. (2023). Benchmarking Reidentification in Multi-Camera Tracking Systems with YOLOv8 and ResNet-50. 2023 International Conference on Human-Centered Cognitive Systems (HCCS). Cardiff, UK 16 - 17 Dec 2023 IEEE. https://doi.org/10.1109/hccs59561.2023.10452624Conference paper
A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2b Evaluation Report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2023). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2b Evaluation Report. London South Bank University.Project report
A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2A Evaluation Report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2023). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 2A Evaluation Report. London South Bank University.Project report
An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction
Twyman, R., Arridge, S., Kereta, Z., Jin, B., Brusaferri, L., Ahn, S., Stearns, C.W., Hutton, B., Burger, I.A., Kotasidis, F. and Thielemans, K. (2023). An Investigation of Stochastic Variance Reduction Algorithms for Relative Difference Penalized 3D PET Image Reconstruction. IEEE Transactions on Medical Imaging. pp. 29 - 41. https://doi.org/10.1109/tmi.2022.3203237Journal article
Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade
Paritala, P.K., Anbananthan, H., Hautaniemi, J., Smith, M., George, A., Allenby, M., Mendieta, J.B., Wang, J., Maclachlan, L., Liang, E., Prior, M., Yarlagadda, P.K.D.V., Winter, C. and Li, Z. (2023). Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade. Scientific Reports. 13, p. 219. https://doi.org/10.1038/s41598-022-27354-wJournal article
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.2023.107417Journal article
Impact of cyclic bending on coronary hemodynamics
Wang, J., Fang, R., Wu, H., Xiang, Y., Mendieta, J.B., Paritala, P.K., Fan, Z., Anbananthan, H., Catano, J.A.A., Raffel, O.C. and Li, Z. (2023). Impact of cyclic bending on coronary hemodynamics. Biomechanics and Modeling in Mechanobiology. 22, pp. 729-738. https://doi.org/10.1007/s10237-022-01677-zJournal article
Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study
Wang, J., Zietal, R., Arase, A., Couzens, G., Pivonka, P. and Fontanarosa, D. (2023). Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study. Results in Engineering. 19, p. 101295. https://doi.org/10.1016/j.rineng.2023.101295Journal article
Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving
Hajderanj, L., Chen, D. and Dudley-Mcevoy, S. (2023). Novel Parameter-Free and Parametric Same Degree Distribution-based Dimensionality Reduction Algorithms for Trustworthy Data Structure Preserving. Information Sciences. 661, p. 120030. https://doi.org/10.1016/j.ins.2023.120030Journal article
Neuroimmune activation and increased brain aging in chronic pain patients after the COVID-19 pandemic onset
Brusaferri, L., Alshelh, Z., Schnieders, J.H., Sandström, A., Mohammadian, M., Morrissey, E.J., Kim, M., Chane, C.A., Grmek, G.C., Murphy, J.P., Bialobrzewski, J., DiPietro, A., Klinke, J., Zhang, Y., Torrado-Carvajal, A., Mercaldo, N., Akeju, O., Wu, O., Rosen, B.R., Napadow, V., Hadjikhani, N. and Loggia, M.L. (2023). Neuroimmune activation and increased brain aging in chronic pain patients after the COVID-19 pandemic onset. Brain, Behavior and Immunity. 116, pp. 259-266. https://doi.org/10.1016/j.bbi.2023.12.016Journal article
Age-related changes in the primary auditory cortex of newborn, adults and aging bottlenose dolphins (Tursiops truncatus) are located in the upper cortical layers
Graïc, J., Corain, L, Finos, L., Vadori, V., Grisan, E., Gerussi, T., Orekhova, K., Centelleghe, C, Cozzi, B. and Peruffo, A. (2023). Age-related changes in the primary auditory cortex of newborn, adults and aging bottlenose dolphins (Tursiops truncatus) are located in the upper cortical layers. Frontiers in Neuroanatomy. 17. https://doi.org/10.3389/fnana.2023.1330384Journal article
The journey from 5G towards 6G
Dagiuklas, A. (2023). The journey from 5G towards 6G. International Symposium on Electrical and Electronics Engineering (ISEEE). 26 - 28 Oct 2023 IEEE. https://doi.org/10.1109/iseee58596.2023.10310418Conference 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
Shape dependent protein‐induced stabilization of gold nanoparticles: From a protein corona perspective
Tukova, A., Nie, Y., Tavakkoli Yaraki, M., Tran, N.T., Wang, J., Rodger, A., Gu, Y. and Wang, Y. (2023). Shape dependent protein‐induced stabilization of gold nanoparticles: From a protein corona perspective. Aggregate. 4 (4), p. e323. https://doi.org/10.1002/agt2.323Journal article
A novel DSP zebrafish model reveals training- and drug-induced modulation of arrhythmogenic cardiomyopathy phenotypes
Celeghin, R., Risato, G., Beffagna, G., Cason, M., Bueno Marinas, M., Della Barbera, M., Facchinello, N., Giuliodori, A., Brañas Casas, R., Caichiolo, M., Vettori, V., Grisan, E., Rizzo, S., Dalla Valle, L., Francesco Argenton, Thiene, G., Tiso, N., Pilichou, K. and Basso, N. (2023). A novel DSP zebrafish model reveals training- and drug-induced modulation of arrhythmogenic cardiomyopathy phenotypes. Cell Death Discovery . 9 (441). https://doi.org/10.1038/s41420-023-01741-2Journal article
Analysis of Brain Imaging Data for the Detection of Early Age Autism Spectrum Disorder Using Transfer Learning Approaches for Internet of Things
Ashraf, A., Zhao, Q., Bangyal, W.H. and Iqbal, M. (2023). Analysis of Brain Imaging Data for the Detection of Early Age Autism Spectrum Disorder Using Transfer Learning Approaches for Internet of Things. IEEE Transactions on Consumer Electronics. https://doi.org/10.1109/tce.2023.3328479Journal article
Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap
El Boudani, B., Dagiuklas, A., Kanaris, L., Iqbal, M. and Chrysoulas, C. (2023). Information Fusion for 5G IoT: An Improved 3D Localisation Approach Using K-DNN and Multi-Layered Hybrid Radiomap. Electronics. 12 (19), p. 4150. https://doi.org/10.3390/electronics12194150Journal article
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/isbi53787.2023.10230352Conference paper
A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks
Shahzadi, S., Chaudhry, N.R. and Iqbal, M. (2023). A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks. Sensors. 23 (17), p. 7366. https://doi.org/10.3390/s23177366Journal article
Smart Farming using Artificial Intelligence and edge cloud computing
Idoje, G. (2023). Smart Farming using Artificial Intelligence and edge cloud computing. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.94w05PhD Thesis
Smart Energy Management System for Minimizing Electricity Cost and Peak to Average Ratio in Residential Areas with Hybrid Genetic Flower Pollination Algorithm
Mateen, A, Wasim, M., Ahad, A., Ashfaq, T., Iqbal, M. and Ali, A (2023). Smart Energy Management System for Minimizing Electricity Cost and Peak to Average Ratio in Residential Areas with Hybrid Genetic Flower Pollination Algorithm. Alexandria Engineering Journal. 77, pp. 593-611. https://doi.org/10.1016/j.aej.2023.06.053Journal article
A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries
Chinnathai, M. and Alkan, B. (2023). A digital life-cycle management framework for sustainable smart manufacturing in energy intensive industries. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.138259Journal article
A New Forgery Image Dataset and its Subjective Evaluation
Hossain, F., Dagiuklas, T and Skodras, A. (2023). A New Forgery Image Dataset and its Subjective Evaluation. 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET). London 19 - 21 May 2023 IEEE. https://doi.org/10.1109/globconet56651.2023.10150020Conference paper
Federated Learning: Crop Classification in a Smart Farm Decentralised Network
Idoje, G., Dagiuklas, A. and Iqbal, M. (2023). Federated Learning: Crop Classification in a Smart Farm Decentralised Network. Smart Agricultural Technology. 5, p. 100277. https://doi.org/10.1016/j.atech.2023.100277Journal article
A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network
Javed, F., Khan, Z.A., Rizwan, S., Shahzadi, S., Chaudhry, N.R. and Iqbal, M. (2023). A Novel Energy-Efficient Reservation System for Edge Computing in 6G Vehicular Ad Hoc Network. Sensors. 23 (13), p. 5817. https://doi.org/10.3390/s23135817Journal 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.20231019Journal article
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
A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation
Webb, L., Tokhi, M. and Alkan, B. (2023). A Solution Architecture for Energy Monitoring and Visualisation in Smart Factories with Robotic Automation. 26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines CLAWAR 2023. Florianópolis, Brazil 02 - 04 Oct 2023 CLAWAR Association.Conference paper
Positional Health Assessment of Collaborative Robots based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network
Hasan, M., Webb, L., Hossain, M., Tokhi, M. and Alkan, B. (2023). Positional Health Assessment of Collaborative Robots based on Long Short-Term Memory Auto-Encoder (LSTMAE) Network. 26th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines CLAWAR 2023. Florianópolis, Brazil 02 - 04 Oct 2023 CLAWAR Association.Conference paper
A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles
Ruan, W., Liu, J., Chen, Y., Islam, S.M. N. and Alam, M. (2023). A Double-Layer Blockchain Based Trust Management Model for Secure Internet of Vehicles. Sensors. 23 (10), p. 4699. https://doi.org/10.3390/s23104699Journal article
Realising URRLC for Smart Energy Network Services
Dagiuklas, A. and Alefragkis, P. (2023). Realising URRLC for Smart Energy Network Services. Symposium Communications for Energy Systems. Viena, Austria 15 - 17 Mar 2023Conference presentation
Artificial Intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis
Iacucci, M., Parigi, T.L., del Amor, R., Meseguer, P., Mandelli, G., Bozzola, A., Bazarova, A., Bhandari, P., Bisschops, R., Danese, S., De Hertogh, G., Ferraz, J.G., Goetz, M., Grisan, E., Gui, X., Hayee, B., Kiesslich, R., Lazarev, M., Panaccione, R., Parra-Blanco, A., Pastorelli, L., Rath, T., Royset, E.S., Tontini, G.E., Vath, M., Zardo, D., Ghosh, S., Naranjo, V. and Villanacci, V. (2023). Artificial Intelligence enabled histological prediction of remission or activity and clinical outcomes in ulcerative colitis. Gastroenterology. https://doi.org/10.1053/j.gastro.2023.02.031Journal 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
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