Computer Science
| Title | Computer Science |
|---|---|
| Alternative | S&T - CS |
| Faculty | Faculty of Science and Technology |
Latest research outputs
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RIS-aided smart manufacturing: information transmission and machine health monitoring
Hoang, T., Son, D., Barn, B., Trestian, R. and Nguyen, H. 2022. RIS-aided smart manufacturing: information transmission and machine health monitoring. IEEE Internet of Things Journal. 9 (22), pp. 22930-22943. https://doi.org/10.1109/JIOT.2022.3187189Article
Adaptive weighted dynamic differential evolution algorithm for emergency material allocation and scheduling
Wang, T., Wu, K., Du, T. and Cheng, X. 2022. Adaptive weighted dynamic differential evolution algorithm for emergency material allocation and scheduling. Computational Intelligence. 38 (3), pp. 714-730. https://doi.org/10.1111/coin.12389Article
A global-scale analysis of the sharing economy model – an AirBnB case study
Quattrone, G., Kusek, N. and Capra, L. 2022. A global-scale analysis of the sharing economy model – an AirBnB case study. EPJ Data Science. 11 (1), pp. 1-29. https://doi.org/10.1140/epjds/s13688-022-00349-3Article
An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks
Zebin, T., Rezvy, S. and Luo, Y. 2022. An explainable AI-based intrusion detection system for DNS over HTTPS (DoH) attacks. IEEE Transactions on Information Forensics and Security. 17, pp. 2339-2349. https://doi.org/10.1109/TIFS.2022.3183390Article
Introduction to the Proceedings of WoRIE’22
Rodríguez-Domínguez, C., Santokhee, A., Hornos, M. and Augusto, J. 2022. Introduction to the Proceedings of WoRIE’22. in: Alvarez Valera, H. and Luštrek, M. (ed.) Intelligent Environments 2022: Workshops at 18th International Conference on Intelligent Environments (IE2022) IOS Press.Introduction
Communicating the standardisation process and cybersecurity standards to undergraduate students
Whitney, G. 2022. Communicating the standardisation process and cybersecurity standards to undergraduate students. Jakobs, K. (ed.) 26th EURAS (European Academy for Standardisation) Conference. Glasgow, UK 08 - 10 Jun 2022 Aachen, Germany Mainz Publishers. pp. 365-373Conference paper
Explanation by automated reasoning using the Isabelle Infrastructure framework
Kammueller, F. 2022. Explanation by automated reasoning using the Isabelle Infrastructure framework. Chen, J.Y.C., Fragomeni, G., Degen, H. and Ntoa, S. (ed.) HCII 2022: 24th International Conference on Human-Computer Interaction. Virtual 26 Jun - 01 Jul 2022 Springer. pp. 307-318 https://doi.org/10.1007/978-3-031-21707-4_22Conference paper
Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders
Kammueller, F. and Alvarado, C. 2022. Exploring rationality of self awareness in social networking for logical modeling of unintentional insiders. Moallem, A. (ed.) HCI-CPT: 4th International Conference on HCI for Cybersecurity, Privacy and Trust. Virtual 26 Jun - 01 Jul 2022 Springer. pp. 340-357 https://doi.org/10.1007/978-3-031-05563-8_22Conference paper
Identification of human papillomavirus from super resolution microscopic images generated using deep learning architectures
Gao, X., Wen, S., Li, D., Liu, W., Xiong, J., Xu, B., Liu, J., Zhang, H. and Liu, X. 2022. Identification of human papillomavirus from super resolution microscopic images generated using deep learning architectures. in: Wani, M. and Palade, V. (ed.) Deep Learning Applications, Volume 4 Springer.Book chapter
Differential cost analysis with simultaneous potentials and anti-potentials
Žikelić, Ð., Chang, B., Bolignano, P. and Raimondi, F. 2022. Differential cost analysis with simultaneous potentials and anti-potentials. 43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation. San Diego, USA 13 - 17 Jun 2022 Association for Computing Machinery (ACM). pp. 442-457 https://doi.org/10.1145/3519939.3523435Conference paper
Exploring new traffic prediction models to build an intelligent transport system for Smart Cities
Mehta, V., Mapp, G. and Gandhi, V. 2022. Exploring new traffic prediction models to build an intelligent transport system for Smart Cities. NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium. Budapest, Hungary 25 - 29 Apr 2022 IEEE. pp. 1-6 https://doi.org/10.1109/NOMS54207.2022.9789926Conference paper
RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses
Chen, M., Abdul-Rahman, A., Archambault, D., Dykes, J., Ritsos, P., Slingsby, A., Torsney-Weir, T., Turkay, C., Bach, B., Borgo, R., Brett, A., Fang, H., Jianu, R., Khan, S., Laramee, R., Matthews, L., Nguyen, P., Reeve, R., Roberts, J., Vidal, F., Wang, Q., Wood, J. and Xu, K. 2022. RAMPVIS: Answering the challenges of building visualisation capabilities for large-scale emergency responses. Epidemics. 39. https://doi.org/10.1016/j.epidem.2022.100569Article
Engineering context updates
Augusto, J. 2022. Engineering context updates. 5th Citizen-Centric Smart Cities Services (CCSCS'2022) Workshop. Biarritz, France 20 - 21 Jun 2022 IOS Press. pp. 293-301 https://doi.org/10.3233/aise220056Conference paper
National identity predicts public health support during a global pandemic
Van Bavel, J., Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J., Pavlović, T., Alfano, M., Gelfand, M., Azevedo, F., Birtel, M., Cislak, A., Lockwood, P., Ross, R., Abts, K., Agadullina, E., Aruta, J., Besharati, S., Bor, A., Choma, B., Crabtree, C., Cunningham, W., De, K., Ejaz, W., Elbaek, C., Findor, A., Flichtentrei, D., Franc, R., Gjoneska, B., Gruber, J., Gualda, E., Horiuchi, Y., Huynh, T., Ibanez, A., Imran, M., Israelashvili, J., Jasko, K., Kantorowicz, J., Kantorowicz-Reznichenko, E., Krouwel, A., Laakasuo, M., Lamm, C., Leygue, C., Lin, M., Mansoor, M., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Minda, J., Mitkidis, P., Olsson, A., Otterbring, T., Packer, D., Perry, A., Petersen, M., Puthillam, A., Riaño-Moreno, J., Rothmund, T., Santamaría-García, H., Schmid, P., Stoyanov, D., Tewari, S., Todosijević, B., Tsakiris, M., Tung, H., Umbreș, R., Vanags, E., Vlasceanu, M., Vonasch, A., Yucel, M., Zhang, Y., Abad, M., Adler, E., Akrawi, N., Mdarhri, H., Amara, H., Amodio, D., Antazo, B., Apps, M., Ay, F., Ba, M., Barbosa, S., Bastian, B., Berg, A., Bernal-Zárate, M., Bernstein, M., Białek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J., Borau, S., Buchel, O., Cameron, C., Carvalho, C., Celadin, T., Cerami, C., Chalise, H., Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M., Crespi, C., Crouzevialle, M., Cutler, J., Cypryańska, M., Dabrowska, J., Daniels, M., Davis, V., Dayley, P., Delouvee, S., Denkovski, O., Dezecache, G., Dhaliwal, N., Diato, A., Di Paolo, R., Drosinou, M., Dulleck, U., Ekmanis, J., Ertan, A., Etienne, T., Farhana, H., Farkhari, F., Farmer, H., Fenwick, A., Fidanovski, K., Flew, T., Fraser, S., Frempong, R., Fugelsang, J., Gale, J., Garcia-Navarro, E., Garladinne, P., Ghajjou, O., Gkinopoulos, T., Gray, K., Griffin, S., Gronfeldt, B., Gümren, M., Gurung, R., Halperin, E., Harris, E., Herzon, V., Hruška, M., Huang, G., Hudecek, M., Isler, O., Jangard, S., Jørgensen, F., Kachanoff, F., Kahn, J., Dangol, A., Keudel, O., Koppel, L., Koverola, M., Kubin, E., Kunnari, A., Kutiyski, Y., Laguna, O., Leota, J., Lermer, E., Levy, J., Levy, N., Li, C., Long, E., Longoni, C., Maglić, M., McCashin, D., Metcalf, A., Mikloušić, I., El Mimouni, S., Miura, A., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nesh-Nash, T., Nitschke, J., Nurse, M., Ohtsubo, Y., Oldemburgo de Mello, V., O’Madagain, C., Onderco, M., Palacios-Galvez, M., Palomäki, J., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Pavlović, Z., Payán-Gómez, C., Perander, S., Pitman, M., Prasad, R., Pyrkosz-Pacyna, J., Rathje, S., Raza, A., Rêgo, G., Rhee, K., Robertson, C., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W., Santi, G., Santiago-Tovar, N., Savage, D., Scheffer, J., Schönegger, P., Schultner, D., Schutte, E., Scott, A., Sharma, M., Sharma, P., Skali, A., Stadelmann, D., Stafford, C., Stanojević, D., Stefaniak, A., Sternisko, A., Stoica, A., Stoyanova, K., Strickland, B., Sundvall, J., Thomas, J., Tinghög, G., Torgler, B., Traast, I., Tucciarelli, R., Tyrala, M., Ungson, N., Uysal, M., Van Lange, P., van Prooijen, J., van Rooy, D., Västfjäll, D., Verkoeijen, P., Vieira, J., von Sikorski, C., Walker, A., Watermeyer, J., Wetter, E., Whillans, A., Willardt, R., Wohl, M., Wójcik, A., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R. and Boggio, P. 2022. National identity predicts public health support during a global pandemic. Nature Communications. 13 (1), pp. 1-14. https://doi.org/10.1038/s41467-021-27668-9Article
Author Correction: National identity predicts public health support during a global pandemic
Van Bavel, J., Cichocka, A., Capraro, V., Sjåstad, H., Nezlek, J., Pavlović, T., Alfano, M., Gelfand, M., Azevedo, F., Birtel, M., Cislak, A., Lockwood, P., Ross, R., Abts, K., Agadullina, E., Aruta, J., Besharati, S., Bor, A., Choma, B., Crabtree, C., Cunningham, W., De, K., Ejaz, W., Elbaek, C., Findor, A., Flichtentrei, D., Franc, R., Gjoneska, B., Gruber, J., Gualda, E., Horiuchi, Y., Huynh, T., Ibanez, A., Imran, M., Israelashvili, J., Jasko, K., Kantorowicz, J., Kantorowicz-Reznichenko, E., Krouwel, A., Laakasuo, M., Lamm, C., Leygue, C., Lin, M., Mansoor, M., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Minda, J., Mitkidis, P., Olsson, A., Otterbring, T., Packer, D., Perry, A., Petersen, M., Puthillam, A., Riaño-Moreno, J., Rothmund, T., Santamaría-García, H., Schmid, P., Stoyanov, D., Tewari, S., Todosijević, B., Tsakiris, M., Tung, H., Umbreș, R., Vanags, E., Vlasceanu, M., Vonasch, A., Yucel, M., Zhang, Y., Abad, M., Adler, E., Akrawi, N., Mdarhri, H., Amara, H., Amodio, D., Antazo, B., Apps, M., Ay, F., Ba, M., Barbosa, S., Bastian, B., Berg, A., Bernal-Zárate, M., Bernstein, M., Białek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J., Borau, S., Buchel, O., Cameron, C., Carvalho, C., Celadin, T., Cerami, C., Chalise, H., Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M., Crespi, C., Crouzevialle, M., Cutler, J., Cypryańska, M., Dabrowska, J., Daniels, M., Davis, V., Dayley, P., Delouvee, S., Denkovski, O., Dezecache, G., Dhaliwal, N., Diato, A., Di Paolo, R., Drosinou, M., Dulleck, U., Ekmanis, J., Ertan, A., Etienne, T., Farhana, H., Farkhari, F., Farmer, H., Fenwick, A., Fidanovski, K., Flew, T., Fraser, S., Frempong, R., Fugelsang, J., Gale, J., Garcia-Navarro, E., Garladinne, P., Ghajjou, O., Gkinopoulos, T., Gray, K., Griffin, S., Gronfeldt, B., Gümren, M., Gurung, R., Halperin, E., Harris, E., Herzon, V., Hruška, M., Huang, G., Hudecek, M., Isler, O., Jangard, S., Jørgensen, F., Kachanoff, F., Kahn, J., Dangol, A., Keudel, O., Koppel, L., Koverola, M., Kubin, E., Kunnari, A., Kutiyski, Y., Laguna, O., Leota, J., Lermer, E., Levy, J., Levy, N., Li, C., Long, E., Longoni, C., Maglić, M., McCashin, D., Metcalf, A., Mikloušić, I., El Mimouni, S., Miura, A., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nesh-Nash, T., Nitschke, J., Nurse, M., Ohtsubo, Y., Oldemburgo de Mello, V., O’Madagain, C., Onderco, M., Palacios-Galvez, M., Palomäki, J., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Pavlović, Z., Payán-Gómez, C., Perander, S., Pitman, M., Prasad, R., Pyrkosz-Pacyna, J., Rathje, S., Raza, A., Rêgo, G., Rhee, K., Robertson, C., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W., Santi, G., Santiago-Tovar, N., Savage, D., Scheffer, J., Schönegger, P., Schultner, D., Schutte, E., Scott, A., Sharma, M., Sharma, P., Skali, A., Stadelmann, D., Stafford, C., Stanojević, D., Stefaniak, A., Sternisko, A., Stoica, A., Stoyanova, K., Strickland, B., Sundvall, J., Thomas, J., Tinghög, G., Torgler, B., Traast, I., Tucciarelli, R., Tyrala, M., Ungson, N., Uysal, M., Van Lange, P., van Prooijen, J., van Rooy, D., Västfjäll, D., Verkoeijen, P., Vieira, J., von Sikorski, C., Walker, A., Watermeyer, J., Wetter, E., Whillans, A., Willardt, R., Wohl, M., Wójcik, A., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R. and Boggio, P. 2022. Author Correction: National identity predicts public health support during a global pandemic. Nature Publishing Group. https://doi.org/10.1038/s41467-022-29658-xOther
Gamification for healthier lifestyle – user retention
Fatima, S., Augusto, J., Moseley, R. and Urbonas, P. 2022. Gamification for healthier lifestyle – user retention. 3rd Workshop on Smart Data Integration and Processing on Service Based Environments (STRAPS 2021). Dubai, UAE 22 Nov 2021 Springer. pp. 217-227 https://doi.org/10.1007/978-3-031-14135-5_17Conference paper
A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk
Nwegbu, N., Tirunagari, S. and Windridge, D. 2022. A novel kernel based approach to arbitrary length symbolic data with application to type 2 diabetes risk. Scientific Reports. 12 (1), pp. 1-16. https://doi.org/10.1038/s41598-022-08757-1Article
Privacy, security and forensics in the Internet of Things (IoT)
Montasari, R., Carroll, F., Mitchell, I., Hara, S. and Bolton-King, R. (ed.) 2022. Privacy, security and forensics in the Internet of Things (IoT). Springer.Edited Book
VANT-GAN: adversarial learning for discrepancy-based visual attribution in medical imaging
Zia, T., Murtaza, S., Bhatti, N., Windridge, D. and Nisar, Z. 2022. VANT-GAN: adversarial learning for discrepancy-based visual attribution in medical imaging. Pattern Recognition Letters. 156, pp. 112-118. https://doi.org/10.1016/j.patrec.2022.02.005Article
Challenges, applications and future of wireless sensors in Internet of Things: a review
Jamshed, M., Ali, K., Abbasi, Q., Imran, M. and Ur-Rehman, M. 2022. Challenges, applications and future of wireless sensors in Internet of Things: a review. IEEE Sensors Journal. 22 (6), pp. 5482-5494. https://doi.org/10.1109/JSEN.2022.3148128Article
Automatic annotation of confidential data in Java code
Bastys, I., Bolignano, P., Raimondi, F. and Schoepe, D. 2022. Automatic annotation of confidential data in Java code. Aïmeur, E., Laurent, M., Yaich, R., Dupont, B. and Garcia-Alfaro, J. (ed.) FPS 2021: The 14th International Symposium on Foundations & Practice of Security. Paris, France 08 - 12 Dec 2021 Springer. pp. 146-161 https://doi.org/10.1007/978-3-031-08147-7_10Conference paper
Detection of human papillomavirus (HPV) from super resolution microscopic images applying an explainable deep learning network
Gao, X., Wen, S., Li, D., Liu, W., Xiong, J., Xu, B., Liu, J., Zhang, H. and Liu, X. 2022. Detection of human papillomavirus (HPV) from super resolution microscopic images applying an explainable deep learning network. SPIE Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging. San Diego, USA 20 - 22 Feb 2022 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2624423Conference paper
Early detection of oesophageal cancer through colour contrast enhancement for data augmentation
Gao, X., Taylor, S., Pang, W., Lu, X. and Braden, B. 2022. Early detection of oesophageal cancer through colour contrast enhancement for data augmentation. SPIE Medical Imaging: Computer-Aided Diagnosis. San Diego, USA 21 - 24 Feb 2022 Society of Photo-optical Instrumentation Engineers (SPIE). https://doi.org/10.1117/12.2611409Conference paper
Gold-viral particle identification by deep learning in wide-field photon scattering parametric images
Zhao, H., Ni, B., Jin, X., Zhang, H., Hou, J., Hou, L., Marsh, J., Dong, L., Li, S., Gao, X., Shi, D., Liu, X. and Xiong, J. 2022. Gold-viral particle identification by deep learning in wide-field photon scattering parametric images. Applied Optics. 61 (2), pp. 546-553. https://doi.org/10.1364/AO.445953Article
CroLSSim: Cross‐language software similarity detector using hybrid approach of LSA‐based AST‐MDrep features and CNN‐LSTM model
Ullah, F., Naeem, M., Naeem, H., Cheng, X. and Alazab, M. 2022. CroLSSim: Cross‐language software similarity detector using hybrid approach of LSA‐based AST‐MDrep features and CNN‐LSTM model. International Journal of Intelligent Systems. 37 (9), pp. 5768-5795. https://doi.org/10.1002/int.22813Article
Contexts and context-awareness revisited from an intelligent environments perspective
Augusto, J. 2022. Contexts and context-awareness revisited from an intelligent environments perspective. Applied Artificial Intelligence. 36 (1), pp. 694-725. https://doi.org/10.1080/08839514.2021.2008644Article
Editorial: Security of cloud service for the manufacturing industry
Cheng, X., Liu, Z. and Ning, Y. 2022. Editorial: Security of cloud service for the manufacturing industry. Transactions on Emerging Telecommunications Technologies. 33 (4). https://doi.org/10.1002/ett.4369Article
Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning
Zhao, H., Ni, B., Liu, W., Jin, X., Zhang, H., Gao, X., Wen, S., Shi, D., Dong, L., Xiong, J. and Liu, X. 2022. Signal denoising of viral particle in wide-field photon scattering parametric images using deep learning. Optics Communications. 503. https://doi.org/10.1016/j.optcom.2021.127463Article
Hashing fuzzing: introducing input diversity to improve crash detection
Menendez Benito, H. and Clark, D. 2022. Hashing fuzzing: introducing input diversity to improve crash detection. IEEE Transactions on Software Engineering. 48 (9), pp. 3540-3553. https://doi.org/10.1109/TSE.2021.3100858Article
A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 world
Jusob, F., George, C. and Mapp, G. 2022. A new privacy framework for the management of chronic diseases via mHealth in a post-Covid-19 world. Journal of Public Health: from Theory to Practice. 30 (1), pp. 37-47. https://doi.org/10.1007/s10389-021-01608-9Article
Output sampling for output diversity in automatic unit test generation
Menéndez, H., Boreale, M., Gorla, D. and Clark, D. 2022. Output sampling for output diversity in automatic unit test generation. IEEE Transactions on Software Engineering. 48 (1), pp. 295-308. https://doi.org/10.1109/TSE.2020.2987377Article
3D analytical modelling and iterative solution for high performance computing clusters
Kirsal, Y., Kirsal Ever, Y., Mapp, G. and Raza, M. 2022. 3D analytical modelling and iterative solution for high performance computing clusters. IEEE Transactions on Cloud Computing. 10 (4), pp. 2238-2251. https://doi.org/10.1109/TCC.2021.3055119Article
Modeling and verifying a resource allocation algorithm for secure service migration for commercial cloud systems
Karthick, G., Mapp, G., Kammueller, F. and Aiash, M. 2022. Modeling and verifying a resource allocation algorithm for secure service migration for commercial cloud systems. Computational Intelligence. 38 (3), pp. 811-828. https://doi.org/10.1111/coin.12421Article
MobiScan: an enhanced invisible screen‐camera communication system for IoT applications
Zhang, X., Liu, J., Ba, Z., Tao, Y. and Cheng, X. 2022. MobiScan: an enhanced invisible screen‐camera communication system for IoT applications. Transactions on Emerging Telecommunications Technologies. 33 (4). https://doi.org/10.1002/ett.4151Article
Secure smart contracts for cloud-based manufacturing using Ethereum blockchain
Kumar, A., Abhishek, K., Nerurkar, P., Ghalib, M., Shankar, A. and Cheng, X. 2022. Secure smart contracts for cloud-based manufacturing using Ethereum blockchain. Transactions on Emerging Telecommunications Technologies. 33 (4). https://doi.org/10.1002/ett.4129Article
AnAbEL: Towards empowering people living with dementia in ambient assisted living
Gimenez Manuel, J., Augusto, J. and Stewart, J. 2022. AnAbEL: Towards empowering people living with dementia in ambient assisted living. Universal Access in the Information Society. 21 (2), pp. 457-476. https://doi.org/10.1007/s10209-020-00760-5Article
Exploring a new security framework for future healthcare systems
Vithanwattana, N., Karthick, G., Mapp, G. and George, C. 2021. Exploring a new security framework for future healthcare systems. IEEE Global Communications Conference: Workshop on Securing Next-Generation Connected Healthcare Systems using Futuristic Technologies. Madrid, Spain [Hybrid: In-Person and Virtual] 07 - 11 Dec 2021 IEEE. pp. 1-6 https://doi.org/10.1109/GCWkshps52748.2021.9681967Conference paper
Artificial intelligence in endoscopy: the challenges and future directions
Gao, X. and Braden, B. 2021. Artificial intelligence in endoscopy: the challenges and future directions. Artifical Intelligence in Gastrointestinal Endoscopy. 2 (4), pp. 117-126. https://doi.org/10.37126/aige.v2.i4.117Article
A smart sensor grid to enhance irrigation techniques in Jordan using a novel event-based routing protocol
Rantisi, M., Mapp, G. and Gemikonakli, O. 2017. A smart sensor grid to enhance irrigation techniques in Jordan using a novel event-based routing protocol. Multimodal Technologies and Interaction. 1 (2). https://doi.org/10.3390/mti1020009Article
Connected vehicle testbed: development & deployment of C-ITS in the UK
Mapp, G., Ghosh, A., Paranthaman, V., Dohler, M. and Sardis, F. 2018. Connected vehicle testbed: development & deployment of C-ITS in the UK. Middlesex Repository Middlesex University.Project report
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