Computer Science and Informatics
Type | Division |
---|---|
School | Engineering |
Latest research outputs
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. 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). Cartegena de Indias, Colombia 18 - 21 Apr 2023 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
Skin Capacitive Image Stitching and Occlusion Measurements
Ciortea, L. I., Chen, D. and Xiao, P. (2023). Skin Capacitive Image Stitching and Occlusion Measurements. Cosmetics. 10 (1), p. 32. https://doi.org/10.3390/cosmetics10010032Journal 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
An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things
Tsakanikas, V., Dagiuklas, A., Iqbal, M., Wang, X. and Mumtaz, S. (2023). An Intelligent model for supporting Edge Migration for Virtual Function Chains in Next Generation Internet of Things. Scientific Reports. 13 (1063). https://doi.org/10.1038/s41598-023-27674-5Journal article
A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2022). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments. 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 1 Evaluation Report
Thomas, N., Frings, D., Flood, C., Grisan, E., Wood, K., Daly, N. and Sharma, S. (2022). A pragmatic trial of an Artificial intelligence DRiven appOInTment maNagEment SyStem (ADROITNESS) in NHS outpatient departments: WP1 Accuracy - Phase 1 Evaluation Report. London South Bank University.Project report
The pandemic brain: Neuroinflammation in non-infected individuals during the COVID-19 pandemic
Brusaferri, L., Alshelh, Z., Martins, D., Kim, M., Weerasekera, A., Housman, H., Morrissey, E.J., Knight, P.C., Castro-Blanco, K.A., Albrecht, D.S., Tseng, C-E., Zürcher, N.R., Ratai, E-M., Akeju, O., Makary, M.M., Catana, C., Mercaldo, N.D., Hadjikhani, N., Veronese, M., Turkheimer, F., Rosen, B.R., Hooker, J.M. and Loggia, M.L. (2022). The pandemic brain: Neuroinflammation in non-infected individuals during the COVID-19 pandemic. Brain, behavior, and immunity. 102, pp. 89-87. https://doi.org/10.1016/j.bbi.2022.02.018Journal article
Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function
Wu, H., Wang, J., Catano, J.A.A., Sun, C. and Li, Z. (2022). Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function. Optics Express. 30 (23), pp. 41954-41968. https://doi.org/10.1364/OE.473898Journal article
Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading
Xia, K., Zhan, H., Shao, J., Wang, J., Zheng, Z., Zhang, X. and Li, Z. (2022). Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading. Metals. 12 (11), p. 1989. https://doi.org/10.3390/met12111989Journal article
The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability
Xiang, Y., Huang, X., Mendieta, J.B., Wang, J., Paritala, P.K., Lloyd, T. and Li, Z. (2022). The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability. Biomedicines. 10 (12), p. 3038. https://doi.org/10.3390/biomedicines10123038Journal article
Imaging-Based Patient-Specific Biomechanical Evaluation of Atherosclerosis and Aneurysm: A Comparison Between Structural-Only, Fluid-Only and Fluid–Structure Interaction Analysis
Mendieta, J.B., Paritala, P.K., Wang, J. and Li, Z. (2022). Imaging-Based Patient-Specific Biomechanical Evaluation of Atherosclerosis and Aneurysm: A Comparison Between Structural-Only, Fluid-Only and Fluid–Structure Interaction Analysis. International Conference on Medical Image Computing and Computer-Assisted Intervention. Singapore 18 - 22 Sep 2022 Springer. https://doi.org/10.1007/978-3-031-09327-2_4Conference paper
An Exploratory Framework for Intelligent Labelling of Fault Datasets
Rizwan, M., Habib, Z., Sarwar, S., Iqbal, M., Safyan, M. and Almakhles, D. (2022). An Exploratory Framework for Intelligent Labelling of Fault Datasets. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 IEEE. https://doi.org/10.1109/hccs55241.2022.10090366Conference paper
Skillbot: A Conversational Chatbot based Data Mining and Sentiment Analysis
Islam, B., Iqbal, M. and Ubakanma, G. (2022). Skillbot: A Conversational Chatbot based Data Mining and Sentiment Analysis. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090342Conference paper
SkillBot: Towards Data Augmentation using Transformer language model and linguistic evaluation
Khatri, S., Iqbal, M. and Ubakanma, G. (2022). SkillBot: Towards Data Augmentation using Transformer language model and linguistic evaluation. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090376Conference paper
The Metaverse evolution: Toward Future Digital Twin Campuses
Antonijevic, P., Iqbal, M., Ubakanma, G. and Dagiuklas, A. (2022). The Metaverse evolution: Toward Future Digital Twin Campuses. International Conference On Human-Centered Cognitive Systems (HCCS 2022). Shangai, China 17 Dec 2022 - 18 Mar 2023 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090250Conference paper
Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case
Idoje, G., Mouroutoglou, C., Dagiuklas, A., Kotsiras, A., Muddesar, I, and Alefragkis, P. (2022). Comparative Analysis of Data using Machine Learning Algorithms: A hydroponics system use case . Smart Agricultural Technology. 4, p. 100207. https://doi.org/10.1016/j.atech.2023.100207Journal article
Optimisation Method for Training Deep Neural Networks in Classification of Non- functional Requirements
Sabir, M. (2022). Optimisation Method for Training Deep Neural Networks in Classification of Non- functional Requirements. PhD Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.931wyPhD Thesis
Estimation of Cortical Bone Strength Using CNN-based Regression Model
Sultan, Hossam H., Grisan, E., Peralta, L. and Harput, S. (2022). Estimation of Cortical Bone Strength Using CNN-based Regression Model. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9957568Conference paper
Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation
Zaydullin, R., Bharath, A.A., Grisan, E., Christensen-Jeffries, K., Bai, W. and Tang, M-X. (2022). Motion Correction Using Deep Learning Neural Networks - Effects of Data Representation. 2022 IEEE International Ultrasonics Symposium (IUS). Venice, Italy 10 - 13 Oct 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ius54386.2022.9958903Conference paper
Enabling Artificial Intelligence Analytics on The Edge
Tsakanikas, V. (2022). Enabling Artificial Intelligence Analytics on The Edge . PhD Thesis https://doi.org/10.18744/lsbu.92w1zPhD Thesis
On the benchmarking of ResNet forgery image model using different datasets
Hossain, F. and Dagiuklas, A. (2022). On the benchmarking of ResNet forgery image model using different datasets. Human-Centered Cognitive Systems. Shangai, China 18 Nov - 17 Dec 2022 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/HCCS55241.2022.10090275Conference paper
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. (2022). 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
Methods to Improve the Prediction Accuracy and Performance of Ensemble Models
Adegoke, V. (2022). Methods to Improve the Prediction Accuracy and Performance of Ensemble Models. MPhil Thesis London South Bank University School of Engineering https://doi.org/10.18744/lsbu.92856MPhil Thesis
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