Computer Science and Engineering

Olukoya, O., Mlačić, B. and Budimir, D. 2019. Impact of 5G Waveforms on Energy Harvesting Rectifier Performance. IEEE MTT-S Wireless Power Transfer Conference (WPTC), part of Wireless Power Week (WPW2019). London, UK 17 - 21 Jun 2019 IEEE . https://doi.org/10.1109/WPTC45513.2019.9055635

Olukoya, O. and Budimir, D. 2019. Evaluation of Waveform Candidates for 5G Wireless Communications. European Microwave Conference in Central Europe (EuMCE2019). Prague 13 - 15 May 2019 IEEE .

Ilić, A.Z., Bukvić, B.M., Budimir, D. and Ilić, M.M. 2019. Design methodology for graphene tunable filters at the sub–millimeter–wave frequencies. Solid-State Electronics. 157, pp. 34-41. https://doi.org/10.1016/j.sse.2019.04.003

Olukoya, O. 2019. Integrated Filters and Couplers for Next Generation Wireless Tranceivers. PhD thesis University of Westminster Computer Science and Enginerring https://doi.org/10.34737/qqwv2

Angelopoulou, A., Garcia-Rodriguez, J., Orts Escolano, S., Kapetanios, D.E., Liang, X., Woll, B. and Psarrou, A. 2019. Evaluation of different chrominance models in the detection and reconstruction of faces and hands using the growing neural gas network. Pattern Analysis and Applications. 22 (4), p. 1667–1685. https://doi.org/10.1007/s10044-019-00819-x

So, P.W., Ekonomou, A., Galley, K., Brody, Leigh, Sahuri-Arisoylu, M., Rattray, I., Cash, D. and Bell, J.D. 2019. Intraperitoneal delivery of acetate-encapsulated liposomal nanoparticles for neuroprotection of the penumbra in a rat model of ischemic stroke. International Journal of Nanomedicine. 2019 (14), p. 1979–1991. https://doi.org/10.2147/IJN.S193965

Triantaphillidou, S., Jarvis, J., Psarrou, A. and Gupta, G. 2019. Contrast sensitivity in images of natural scenes. Signal Processing: Image Communication . 75, pp. 64-75. https://doi.org/10.1016/j.image.2019.03.002

Mesgarpour, M., Chaussalet, T.J. and Chahed, S. 2019. Temporal Comorbidity-Adjusted Risk of Emergency Readmission (T-CARER): A Tool for Comorbidity Risk Assessment. Applied Soft Computing. 79, pp. 163-185. https://doi.org/10.1016/j.asoc.2019.03.015

Temelkovski, D., Kiss, T., Terstyanszky, G. and Greenwell, P. 2019. Extending Molecular Docking Desktop Applications with Cloud Computing Support and Analysis of Results. Future Generation Computer Systems. 97, p. 814–824. https://doi.org/10.1016/j.future.2019.03.017

Sliwko, L. 2019. Intelligent Load Balancing in Cloud Computer Systems. PhD thesis University of Westminster Department of Computer Science and Engineering, College of Design, Creative and Digital Industries https://doi.org/10.34737/qq4w7

Rezvy, S, Petridis, M, Lasebae, A and Zebin, T. 2019. Intrusion Detection and Classification with Autoencoded Deep Neural Network. in: Innovative Security Solutions for Information Technology and Communications Springer. pp. 142-156

Doumanis, I. and Economou, D. 2019. Affective Communication between ECAs and users in Collaborative Virtual Environments: The REVERIE European Parliament use case. Multimodal Technologies and Interaction. 3 (1) 7. https://doi.org/10.3390/mti3010007

Maheshwari, S., Bartlett, V. and Kale, I. 2019. Modelling, Simulation and Verification of 4-phase Adiabatic Logic Design: A VHDL-Based Approach. Integration: the VLSI Journal. 67, pp. 144-154. https://doi.org/10.1016/j.vlsi.2019.01.007

Darawsheh, H. and Tarczynski, A. 2019. Comparison Between Uniform and Nonuniform Interpolation Techniques for Digital Alias-free FIR Filtering. Hidoussi, F. (ed.) International Conference on Digital Image & Signal Processing (DISP’19). St Hugh's College, Oxford University, United Kingdom 29 - 30 Apr 2019

Olukoya, O., Ilic, A.Z., Basu, A. and Budimir, D. 2019. Miniaturized Quadrature Hybrid Couplers based on Novel U-shaped Transmission Lines. Microwave and Optical Technology Letters. 61 (2), pp. 509-512. https://doi.org/10.1002/mop.31555

El Ansari, R., Craze, M.L., Alfarsi, L., Soria, D., Diez-Rodriguez, M., Nolan, C.C., Ellis, I.O., Rakha, E.A. and Green, A.R. 2019. The combined expression of solute carriers is associated with a poor prognosis in highly proliferative ER+ breast cancer. Breast Cancer Research and Treatment. 175 (1), pp. 27-38. https://doi.org/10.1007/s10549-018-05111-w

Figueredo, G.P., Agrawal, U., Mase, J.M.M., Mesgarpour, M., Wagner, C., Soria, D., Garibaldi, J.M., Siebers, P.O. and John, R.I. 2019. Identifying Heavy Goods Vehicle Driving Styles in the United Kingdom. IEEE Transactions on Intelligent Transportation Systems. 20 (9), pp. 3324-3336. https://doi.org/10.1109/TITS.2018.2875343

Atanassov, K.T., Atanassova, V. and Chountas, P. 2019. Intercriteria Analysis and Arithmetic Functions. in: Hadjiski, M. and Atanassov, K.T. (ed.) Intuitionistic Fuzziness and Other Intelligent Theories and Their Applications Springer. pp. 1-11

Doumanis, I., Economou, D., Sim, G.R. and Porter, S. 2019. The impact of multimodal Collaborative Virtual Environments on learning: A gamified online debate. Computers & Education. 130, pp. 121-138. https://doi.org/10.1016/j.compedu.2018.09.017

Hamid, S., Donaldson, I.A., Hu, Y., Rodell, R., Villarini, B., Bonmati, E., Tranter, P., Punwani, S., Side, H.S., Willis, S., van der Meulen, J., Hawkes, D., Mccarran, N., Potyka, I., Williams, N.W., Brew-Graves, C., Freeman, A., Moore, C.M., Barratt, D., Emberton, M. and Ahmed, H.U. 2019. The SmartTarget BIOPSY trial: A prospective, within-person randomised, blinded trial comparing the accuracy of visual-registration and MRI/ultrasound image-fusion targeted biopsies for prostate cancer risk stratification. European Urology. 75 (5), p. 733–740. https://doi.org/10.1016/j.eururo.2018.08.007

Liu, J., Xu, B., Zheng, C., Gong, Y., Garibaldi, J.M., Soria, D., Green, A., Ellis, I.O., Zou, W. and Qiu, G. 2019. An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA. IEEE Transactions on Medical Imaging. 38 (2), pp. 617-628. https://doi.org/10.1109/TMI.2018.2868333

Taylor, S.J.E., Anagnostou, A., Kiss, T., Terstyanszky, G., Kacsuk, P., Fantini, N., Lakehal, D. and Costes, J 2019. Enabling Cloud-based Computational Fluid Dynamics with a Platform-as-a-Service Solution. IEEE Transactions on Industrial Informatics. 15 (1), pp. 85-94. https://doi.org/10.1109/TII.2018.2849558

Kiss, T., Kacsuk, P., Kovacs, J., Rakoczi, B., Hajnal, A., Farkas, A., Gesmier, G. and Terstyanszky, G. 2019. MiCADO -Microservice-based Cloud Application-level Dynamic Orchestrator. Future Generation Computer Systems. 94, pp. 937-946. https://doi.org/10.1016/j.future.2017.09.050

Bolotov, A., Pierantoni, G., Chan You Fee, D., Wisudha, A. and Abduraimova, Z. 2018. Enabled: Educational Network Amplifying Learning Experience (EnAbled). Kensington Olimpia 12 Oct 2018

Lovas, R., Farkas, A., Marosi, A.C., Ács, S., Kovács, J., Szalóki, Á., Kádár, B. and Kovacs, J. 2018. Orchestrated platform for cyber-physical systems. Complexity. Volume 2018 (1) 8281079. https://doi.org/10.1155/2018/8281079

Hajnal, A., Kecskemeti, G., Marosi, A.C., Kovacs, J., Kacsuk, P. and Lovas, R. 2018. ENTICE VM Image Analysis and Optimised Fragmentation. Journal of Grid Computing. 16, pp. 247-263. https://doi.org/10.1007/s10723-018-9430-x

Kovács, J., Kacsuk, P. and Emődi, M. 2018. Deploying Docker Swarm cluster on hybrid clouds using Occopus. Advances in Engineering Software. 125, pp. 136-145. https://doi.org/10.1016/j.advengsoft.2018.08.001

Kacsuk, P., Kovács, J. and Farkas, Z. 2018. The flowbster cloud-oriented workflow system to process large scientific data sets. Journal of Grid Computing. 16, pp. 55-83. https://doi.org/10.1007/s10723-017-9420-4

Kovács, J. and Kacsuk, P. 2018. Occopus: A multi-cloud orchestrator to deploy and manage complex scientific infrastructures. Journal of Grid Computing. 16, pp. 19-37. https://doi.org/10.1007/s10723-017-9421-3

Lovas, R., Nagy, E. and Kovács, J. 2018. Cloud agnostic Big Data platform focusing on scalability and cost-efficiency. Advances in Engineering Software. 125, pp. 167-177. https://doi.org/10.1016/j.advengsoft.2018.05.002

García-Rodríguez, J., Escalera, S., Psarrou, A., Guyon, I., Lewis, A. and Leitner, J. 2018. Expert systems: Special issue on “Machine Learning Methods Neural Networks applied to Vision and Robotics (MLMVR)”. Expert Systems. 35 (2) e12258. https://doi.org/10.1111/exsy.12258

Neururer, M. and Oliver, T. 2018. Preprint: Weil's Converse Theorem for Maass Forms and Cancellation of Zeros. arXiv. https://doi.org/10.48550/arxiv.1809.06586

Bettin, S., Bober, J., Booker, A., Conrey, B., Lee, M., Molteni, G., Oliver, T., Platt, D. and Steiner, R. 2018. A conjectural extension of Hecke’s converse theorem. The Ramanujan Journal. 47, pp. 659-684. https://doi.org/10.1007/s11139-017-9953-y

Olajide, F., Al-hadrami, T. and James-Taylor, A. 2018. Forensic Use Case Analysis of User Input in Windows Application. 3rd International Conference of Reliable Information and Communication Technology (IRICT 2018). Kuala Lumpur, Malaysia 23 - 24 Jul 2018 Springer. https://doi.org/10.1007/978-3-319-99007-1_58

Olajide, F., Al-Hadrami, T. and James-Taylor, A. 2018. Digital Investigation and Forensic User Analysis. 3rd International Conference of Reliable Information and Communication Technology (IRICT 2018). Kuala Lumpur, Malaysia 23 - 24 Jul 2018 Springer. https://doi.org/10.1007/978-3-319-99007-1_59

Olajide, F. 2018. Power aware routing algorithms (PARA) in wireless mesh networks for emergency management. PLoS ONE. 13 (10) e0204751. https://doi.org/10.1371/journal.pone.0204751

Kohr, D., Ahmad, M., Alkan, B., Kaniappan Chinnathai, M., Budde, L., Vera, D., Friedli, T. and Harrison, R. 2018. Proposing a holistic framework for the assessment and management of manufacturing complexity through data-centric and human-centric approaches. COMPLEXIS 2018: 3rd International Conference on Complexity, Future Information Systems and Risk. Funchal, Madeira, Portugal 20 - 21 Mar 2018 SCITEPRESS – Science and Technology Publications. https://doi.org/10.5220/0006692000860093

Kaniappan Chinnathai, M., Alkan, B., Vera, D. and Harrison, R. 2018. Pilot to Full-Scale Production: A Battery Module Assembly Case Study. 51st CIRP Conference on Manufacturing Systems. Stockholm, Sweden 16 - 18 May 2018 Elsevier. https://doi.org/10.1016/j.procir.2018.03.194

Clayman, S., Tusa, F. and Galis, A. 2018. Extending Slices into Data Centers: The VIM on-demand model. 2018 9th International Conference on the Network of the Future (NOF). Poznan, Poland 19 - 21 Nov 2019 IEEE . https://doi.org/10.1109/nof.2018.8597850

Tusa, F., Clayman, S. and Galis, A. 2018. Real-Time Management and Control of Monitoring Elements in Dynamic Cloud Network Systems. 2018 IEEE 7th International Conference on Cloud Networking (CloudNet). Tokyo, Japan 22 - 24 Oct 2018 IEEE . https://doi.org/10.1109/cloudnet.2018.8549443