Computer Science and Informatics

Type	Division
School	Engineering

Latest research outputs

Sort by Date Title

Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α

Raffeiner, B, Grisan, E, Botsios, C, Stramare, R, Rizzo, G, Bernardi, L, Punzi, L, Ometto, F and Doria, A (2017). Grade and location of power doppler are predictive of damage progression in rheumatoid arthritis patients in clinical remission by anti-tumour necrosis factor α. Rheumatology (United Kingdom). 56, pp. 1320-1325. https://doi.org/10.1093/rheumatology/kex084

Journal article

Graphs Resemblance based Software Birthmarks through Data Mining for Piracy Control

Sarwar, S., Ul Qayyum, Z., Safyab, M., Iqbal, M. and Mahmood, Y. (2019). Graphs Resemblance based Software Birthmarks through Data Mining for Piracy Control. Programming and Computer Software. 45 (8), pp. 581-589. https://doi.org/10.1134/S0361768819080152

Journal article

Graphs Resemblance based Software Birthmarks through Data Mining for Piracy Control

Sarwar, S., Ul Qayyum, Z., Safyan, M., Iqbal, M. and Mahmood, Y. (2019). Graphs Resemblance based Software Birthmarks through Data Mining for Piracy Control. Proceedings of the Institute for System Programming. 31 (2), pp. 171-186. https://doi.org/10.15514/ISPRAS-2019-31(2)-12

Journal article

Green Process Engineering as the Key to Future Processes

Patel, D, Kellici, S and Saha, B (2014). Green Process Engineering as the Key to Future Processes. Processes. 2 (1), pp. 311-332.

Journal article

Growth abnormalities of fetuses and infants

Cosmi, E, Grisan, E, Fanos, V, Rizzo, G, Sivanandam, S and Visentin, S (2017). Growth abnormalities of fetuses and infants. BioMed Research International. 2017. https://doi.org/https://www.doi.org/10.1155/2017/3191308

Journal article

Guest editorial: Special issue on information visualisation

Banissi, E and Huang, W (2018). Guest editorial: Special issue on information visualisation. Journal of Visual Languages and Computing. 44, pp. 70-71. https://doi.org/10.1016/j.jvlc.2017.11.005

Journal article

Hadoop and what it is good for

Chrysoulas, C, Kalliatakis, G and Stamatiadis, G (2017). Hadoop and what it is good for. in: Inge, R and Leif, J (ed.) Machine Learning: Advances in Research and Applications Nova Science Publishers, Inc.. pp. 177-194

Book chapter

Hardware aspects of algorithm generation

Pitteway, MLV and Banissi, E (1987). Hardware aspects of algorithm generation. in: Theoretical foundations of computer graphics and CAD Springer.

Book chapter

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse

Kintis, P, Miramirkhani, N, Lever, C, Chen, Y, Romero-Gómez, R, Pitropakis, N, Nikiforakis, N and Antonakakis, M (2017). Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse. Association of Computer Machinery's Computer and Communications Security (ACM CCS) 2017. Dallas, Texas USA 30 Oct - 02 Nov 2017 https://doi.org/10.1145/3133956.3134002

Conference item

High frame rate contrast enhanced ultrasound imaging for slow flow: influence of ultrasound pressure and flow rate on bubble disruption and image persistence

Zhu, J., Lin, S., Leow, C.H., Rowland, E.M., Riemer, K., Harput, S., Weinberg, P.D. and Tang, M-X. (2019). High frame rate contrast enhanced ultrasound imaging for slow flow: influence of ultrasound pressure and flow rate on bubble disruption and image persistence. Ultrasound in Medicine and Biology. 45 (9), pp. 2456-2470. https://doi.org/10.1016/j.ultrasmedbio.2019.05.016

Journal article

High frame rate tri-plane echocardiography with spiral arrays: from simulation to real-time implementation

Ramalli, A., Harput, S., Bizy, S., Boni, E., Eckersley, R.J., Tortoli, P. and D'hooge, J. (2019). High frame rate tri-plane echocardiography with spiral arrays: from simulation to real-time implementation. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 67 (1). https://doi.org/10.1109/TUFFC.2019.2940289

Journal article

Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability

Ahmad, M., Ahmad, B., Alkan, B., Vera, D., Harrison, R., Meredith, J. and Bindel, A. (2016). Hydrogen Fuel Cell Pick and Place Assembly Systems: Heuristic Evaluation of Reconfigurability and Suitability. Procedia CIRP. 57, pp. 428-433. https://doi.org/10.1016/j.procir.2016.11.074

Journal article

Hyper Parameters Selection for Image Classification in Convolutional Neural Networks

Patel, S. (2018). Hyper Parameters Selection for Image Classification in Convolutional Neural Networks. IEEE International Conference on Cognitive Informatics & Cognitive Computing 2018. Berkeley, Califormia, USA 15 - 18 Jul 2018 Institute of Electrical and Electronics Engineers (IEEE).

Conference paper

Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off

Alkan, B., Bullock, S. and Galvin, K. (2021). Identifying Optimal Granularity Level of Modular Assembly Supply Chains Based on Complexity-Modularity Trade-Off. IEEE Access. 9, pp. 57907 - 57921. https://doi.org/10.1109/ACCESS.2021.3072955

Journal 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_4

Conference paper

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-z

Journal article

Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)

El Boudani, B., Kanaris, L., Kokkinis, A., Kyriacou, M., Chrysoulas, C., Stavrou, S. and Dagiuklas, A. (2020). Implementing Deep Learning Techniques in 5G IoT Networks for 3D Indoor Positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture). Sensors. 20 (19), p. e5495. https://doi.org/10.3390/s20195495

Journal 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.2020.3001094

Journal article

Improved shear wave-front reconstruction method by aligning imaging beam angles with shear-wave polarization: Applied for shear compounding application

Hyder, S., Harput, S., Alomari, Z., Cowell, D.M.J., McLaughlan, J. and Freear, S. (2016). Improved shear wave-front reconstruction method by aligning imaging beam angles with shear-wave polarization: Applied for shear compounding application. 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.2016.7728536

Conference 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/s20216333

Journal article

Improving Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnosis via RBF Networks trained with EKF models

Adegoke, V, Chen, D and Banissi, E (2019). Improving Prediction Accuracy of Breast Cancer Survivability and Diabetes Diagnosis via RBF Networks trained with EKF models. International Journal of Computer Information Systems and Industrial Management. 11, pp. 82-100.

Journal article

Improving the quantification of contrast enhanced ultrasound using a Bayesian approach

Rizzo, G, Tonietto, M, Castellaro, M, Raffeiner, B, Coran, A, Fiocco, U, Stramare, R and Grisan, E (2017). Improving the quantification of contrast enhanced ultrasound using a Bayesian approach. SPIE Medical Imaging. Orlando, FL , USA 16 2016 - 11 Feb 2017 SPIE. https://doi.org/10.1117/12.2250195

Conference paper

In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy

Ghatwary, N, Ahmed, A, Grisan, E, Jalab, H, Bidaut, L and Ye, X (2019). In-vivo Barretts esophagus digital pathology stage classification through feature enhancement of confocal laser endomicroscopy. J Med Imaging (Bellingham). 6 (1). https://doi.org/https://www.doi.org/10.1117/1.JMI.6.1.014502

Journal article

Incomplete Information based Collaborative Computing in Emergency Communication Networks

Wang, Q, Zhu, Y and Wang, X (2020). Incomplete Information based Collaborative Computing in Emergency Communication Networks. IEEE Communications Letters. https://doi.org/10.1109/LCOMM.2020.2995501

Journal article

Influence of the initial chemical conditions on the rational design of silica particles

Bourebrab, MA, Oben, DT, Durand, GG, Taylor, PG, Bruce, JI, Bassindale, AR and Taylor, A (2018). Influence of the initial chemical conditions on the rational design of silica particles. Journal of Sol-Gel Science and Technology. 88 (2), pp. 430-441. https://doi.org/10.1007/s10971-018-4821-9

Journal 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/electronics12194150

Journal article

Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms

Iqbal, M and Dagiuklas, T (2017). Infrastructure as a Service (IaaS): A Comparative Performance Analysis of Open-Source Cloud Platforms. The International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD). Lund, Sweden. 21 May - 19 Jun 2017

Conference paper

Integrating IoT and Fog Computing for Healthcare Service Delivery

Andriopoulou, F, Dagiuklas, T. and Orphanoudakis, T (2016). Integrating IoT and Fog Computing for Healthcare Service Delivery. in: Keramidas, G, Voros, N and Hübner, M (ed.) Components and Services for IoT Platforms: Paving the Way for IoT Standards Springer. pp. 213-232

Book chapter

Intelligent Aircraft Maneuvering Decision Based on CNN

Li, B., Liang, S., Tian, L. and Chen, D. (2019). Intelligent Aircraft Maneuvering Decision Based on CNN. Proceedings of the 3rd International Conference on Computer Science and Application Engineering. (138). https://doi.org/10.1145/3331453.3362046

Journal article

Intelligent Attitude Control of Aircraft Based on LSTM

Li, B, Gao, P, Li, X and Chen, D (2019). Intelligent Attitude Control of Aircraft Based on LSTM. 3rd International Conference on Artificial Intelligence Applications and Technologies. Beijing, China 01 - 03 Aug 2019 IOP Publishing. https://doi.org/10.1088/1757-899X/646/1/012013

Conference paper

Intelligent Flight Control of Combat Aircraft Based on Autoencoder

Li, B., Gao, P., Liang, S. and Chen, D. (2019). Intelligent Flight Control of Combat Aircraft Based on Autoencoder. 2019 The 4th International Conference on Robotics, Control and Automation. GuangZhou 26 - 28 Jul 2019 https://doi.org/10.1145/3351180.3351210

Conference paper

Intelligent Processing and IT Tools of E-Commerce Data,Information and Knowledge

Iqbal, M. Honghao G., J. Kim, W. Hussain, Iqbal, M. and Y. Duan (ed.) (2021). Intelligent Processing and IT Tools of E-Commerce Data,Information and Knowledge. Springer.

Book

Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning

Vargas, A, Boza, A, Patel, S., Patel, D., Cuenca, L and Ortiz, A (2016). Inter-enterprise architecture as a tool to empower decision-making in hierarchical collaborative production planning. Data and Knowledge Engineering. 105, pp. 5-22. https://doi.org/10.1016/j.datak.2015.10.002

Journal article

Intravascular Optical Coherence Tomography Image Segmentation Based on Support Vector Machine Algorithm

Huang, Y., He, C., Wang, J., Miao, Y., Zhu, T., Zhou, P. and Li, Z. (2018). Intravascular Optical Coherence Tomography Image Segmentation Based on Support Vector Machine Algorithm. Molecular & Cellular Biomechanics. 15 (2), pp. 117-125. https://doi.org/10.3970/mcb.2018.02478

Journal 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 2020

Conference paper

Investigation of Microbubble Detection Methods for Super-Resolution Imaging of Microvasculature

Brown, J., Christensen-Jeffries, K., Harput, S., Zhang, G., Zhu, J., Dunsby, C., Tang, M-X. and Eckersley, R.J. (2019). Investigation of Microbubble Detection Methods for Super-Resolution Imaging of Microvasculature. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 66 (4), pp. 676-691. https://doi.org/10.1109/TUFFC.2019.2894755

Journal article

IoTA: IoT Automated SIP-based Emergency Call Triggering System for general eHealth purposes

Andriopoulou, F, Orphanoudakis, T and Dagiuklas, A. (2017). IoTA: IoT Automated SIP-based Emergency Call Triggering System for general eHealth purposes. 13th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications. Rome 09 - 11 Oct 2017 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/WiMOB.2017.8115830

Conference paper

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.040990

Conference poster

Iterated Local Search Algorithm for Clustering Wireless Sensor Networks.

Dudley, S, Oladimeji, MO and Turkey, M (2016). Iterated Local Search Algorithm for Clustering Wireless Sensor Networks. 2016 IEEE Congress on Evolutionary Computation (CEC). Vancouver, Canada 24 - 29 Jul 2016 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CEC.2016.7744200

Conference paper

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.2020.2978449

Journal article

« Previous