Faculty of Science and Technology
| Title | Faculty of Science and Technology |
|---|---|
| Alternative | S&T |
| University | Middlesex University London |
| Campus | London |
Latest research outputs
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Developing testing frameworks for AI cameras
Herdzik, A. and James-Reynolds, C. 2022. Developing testing frameworks for AI cameras. Bramer, M. and Stahl, F. (ed.) 42nd Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (SGAI). Cambridge, UK 13 - 15 Dec 2022 Cham Springer. https://doi.org/10.1007/978-3-031-21441-7_28Conference paper
Criminal court sentencing: the case for specialist ‘young adult’ courts
Ward, J. and Spence, R. 2022. Criminal court sentencing: the case for specialist ‘young adult’ courts. The British Journal of Criminology: An International Review of Crime and Society. 63 (4), pp. 1041-1057. https://doi.org/10.1093/bjc/azac076Article
Discriminator-based adversarial networks for knowledge graph completion
Tubaishat, A., Zia, T., Faiz, R., Al Obediat, F., Shah, B. and Windridge, D. 2022. Discriminator-based adversarial networks for knowledge graph completion. Neural Computing and Applications. https://doi.org/10.1007/s00521-022-07680-wArticle
Using Narrative Inquiry to understand physical activity connections through the lifecourse
Elliott, A., Volante, M., Watt, J. and Cohen, R. 2022. Using Narrative Inquiry to understand physical activity connections through the lifecourse. Leisure Studies Association Conference 2022: In pursuit of leisure: inequality, storytelling and the meanings of place. Falmouth University 12 - 14 Jul 2022 Falmouth University. pp. 1-80Conference item
Three problems of interdisciplinarity
Russell, Y. 2022. Three problems of interdisciplinarity. Avant. 13 (1), pp. 1-19. https://doi.org/10.26913/ava202206Article
Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction
Eastwood, M., Marc, S., Gao, X., Sailem, H., Offman, J., Karteris, E., Montero Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2022. Malignant Mesothelioma subtyping of tissue images via sampling driven multiple instance prediction. Michalowski, M., Abidi, S. and Abidi, S. (ed.) 20th International Conference on Artificial Intelligence in Medicine. Halifax, Canada 14 - 17 Jun 2022 Springer. https://doi.org/10.1007/978-3-031-09342-5_25Conference paper
On the morphological deviation in additive manufacturing of porous Ti6Al4V scaffold: a design consideration
Naghavi, S., Wang, H., Varma, S., Tamaddon, M., Marghoub, A., Galbraith, R., Galbraith, J., Moazen, M., Hua, J., Xu, W. and Liu, C. 2022. On the morphological deviation in additive manufacturing of porous Ti6Al4V scaffold: a design consideration. Materials. 15 (14). https://doi.org/10.3390/ma15144729Article
Effects of canine-assisted intervention on the mental health of higher education students: a systematic review
Manville, K., Coulson, M., Mulqueen, M., Neller, K., Searing, C., Welland, S. and Reynolds, G. 2022. Effects of canine-assisted intervention on the mental health of higher education students: a systematic review. Human-Animal Interaction Bulletin. 13 (1), pp. 111-145. https://doi.org/10.1079/hai.2022.0012Article
The applications of attachment theory to working therapeutically with families in the context of children and young people
Parra, R. and Bailey-Rodriguez, D. 2022. The applications of attachment theory to working therapeutically with families in the context of children and young people. in: Fuenzalida, C., Sempere, J. and Gavrila-Ardelean, M. (ed.) Working with family and community resources in educational, social and mental health contexts Presa Universitară Clujeană. pp. 98-132Book chapter
Cyber-threat detection system using a hybrid approach of transfer learning and multi-model image representation
Ullah, F., Ullah, S., Naeem, M., Mostarda, L., Rho, S. and Cheng, X. 2022. Cyber-threat detection system using a hybrid approach of transfer learning and multi-model image representation. Sensors. 22 (15), pp. 1-26. https://doi.org/10.3390/s22155883Article
Visual analytics of contact tracing policy simulations during an emergency response
Sondag, M., Turkay, C., Xu, K., Matthews, L., Mohr, S. and Archambault, D. 2022. Visual analytics of contact tracing policy simulations during an emergency response. Computer Graphics Forum. 41 (3), pp. 29-41. https://doi.org/10.1111/cgf.14520Article
Canine-assisted intervention reduces anxiety and stress in higher education students: a randomized controlled trial
Manville, K., Coulson, M. and Reynolds, G. 2022. Canine-assisted intervention reduces anxiety and stress in higher education students: a randomized controlled trial. Society & Animals: Journal of Human-Animal Studies. 32 (2), pp. 156-177. https://doi.org/10.1163/15685306-bja10101Article
A deep convolutional neural network stacked ensemble for malware threat classification in internet of things
Naeem, H., Cheng, X., Ullah, F., Jabbar, S. and Dong, S. 2022. A deep convolutional neural network stacked ensemble for malware threat classification in internet of things. Journal of Circuits, Systems and Computers. 31 (17). https://doi.org/10.1142/s0218126622503029Article
Building energy management systems
Yang, T., Clements-Croome, D. and Marson, M. 2022. Building energy management systems. in: Abraham, M. (ed.) Encyclopedia of Sustainable Technologies Elsevier.Book chapter
An introduction of a modular framework for securing 5G networks and beyond
Edris, E., Aiash, M. and Loo, J. 2022. An introduction of a modular framework for securing 5G networks and beyond. Network. 2 (3), pp. 419-439. https://doi.org/10.3390/network2030026Article
Taxane monotherapy regimens for the treatment of recurrent epithelial ovarian cancer [Review - Intervention]
Patel, A., Kalachand, R., Busschots, S., Doherty, B., Kapros, E., Lawlor, D., Hall, N. and Stordal, B. 2022. Taxane monotherapy regimens for the treatment of recurrent epithelial ovarian cancer [Review - Intervention]. Cochrane Database of Systematic Reviews. https://doi.org/10.1002/14651858.CD008766.pub3Article
Classification techniques for arrhythmia patterns using convolutional neural networks and Internet of Things (IoT) devices
Agyeman, M., Guerrero, A. and Vien, Q. 2022. Classification techniques for arrhythmia patterns using convolutional neural networks and Internet of Things (IoT) devices. IEEE Access. 10, pp. 87387-87403. https://doi.org/10.1109/ACCESS.2022.3192390Article
Novel group handover mechanism for cooperative and coordinated mobile femtocells technology in railway environment
Raheem, R., Lasebae, A. and Raheem, A. 2022. Novel group handover mechanism for cooperative and coordinated mobile femtocells technology in railway environment. Array. 15. https://doi.org/10.1016/j.array.2022.100223Article
RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon
Zhao, Y., Wang, Y., Cheng, X., Chen, H., Yu, H. and Ren, Y. 2022. RFAP: a revocable fine-grained access control mechanism for autonomous vehicle platoon. IEEE Transactions on Intelligent Transportation Systems. 23 (7), pp. 9668-9679. https://doi.org/10.1109/TITS.2021.3105458Article
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
Pavlović, T., Azevedo, F., De, K., Riaño-Moreno, J., Maglić, M., Gkinopoulos, T., Donnelly-Kehoe, P., Payán-Gómez, C., Huang, G., Kantorowicz, J., Birtel, M., Schönegger, P., Capraro, V., Santamaría-García, H., Yucel, M., Ibanez, A., Rathje, S., Wetter, E., Stanojević, D., van Prooijen, J., Hesse, E., Elbaek, C., Franc, R., Pavlović, Z., Mitkidis, P., Cichocka, A., Gelfand, M., Alfano, M., Ross, R., Sjåstad, H., Nezlek, J., Cislak, A., Lockwood, P., Abts, K., Agadullina, E., Amodio, D., Apps, M., Aruta, J., Besharati, S., Bor, A., Choma, B., Cunningham, W., Ejaz, W., Farmer, H., Findor, A., Gjoneska, B., Gualda, E., Huynh, T., Imran, M., Israelashvili, J., Kantorowicz-Reznichenko, E., Krouwel, A., Kutiyski, Y., Laakasuo, M., Lamm, C., Levy, J., Leygue, C., Lin, M., Mansoor, M., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Olsson, A., Otterbring, T., Packer, D., Palomäki, J., Perry, A., Petersen, M., Puthillam, A., Rothmund, T., Schmid, P., Stadelmann, D., Stoica, A., Stoyanov, D., Stoyanova, K., Tewari, S., Todosijević, B., Torgler, B., Tsakiris, M., Tung, H., Umbreș, R., Vanags, E., Vlasceanu, M., Vonasch, A., Zhang, Y., Abad, M., Adler, E., Mdarhri, H., Antazo, B., Ay, F., Ba, M., Barbosa, S., Bastian, B., Berg, A., Białek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J., Borau, S., Buchel, O., de 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., Davis, V., Minda, J., Dayley, P., Delouvée, S., Denkovski, O., Dezecache, G., Dhaliwal, N., Diato, A., Di Paolo, R., Dulleck, U., Ekmanis, J., Etienne, T., Farhana, H., Farkhari, F., Fidanovski, K., Flew, T., Fraser, S., Frempong, R., Fugelsang, J., Gale, J., García-Navarro, E., Garladinne, P., Gray, K., Griffin, S., Gronfeldt, B., Gruber, J., Halperin, E., Herzon, V., Hruška, M., Hudecek, M., Isler, O., Jangard, S., Jørgensen, F., Keudel, O., Koppel, L., Koverola, M., Kunnari, A., Leota, J., Lermer, E., Li, C., Longoni, C., McCashin, D., Mikloušić, I., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nitschke, J., Nurse, M., de Mello, V., Palacios-Galvez, M., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Perander, S., Pitman, M., Raza, A., Rêgo, G., Robertson, C., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W., Santi, G., Schultner, D., Schutte, E., Scott, A., Skali, A., Stefaniak, A., Sternisko, A., Strickland, B., Thomas, J., Tinghög, G., Traast, I., Tucciarelli, R., Tyrala, M., Ungson, N., Uysal, M., Van Rooy, D., Västfjäll, D., Vieira, J., von Sikorski, C., Walker, A., Watermeyer, J., Willardt, R., Wohl, M., Wójcik, A., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R., Boggio, P., Whillans, A., Van Lange, P., Prasad, R., Onderco, M., O'Madagain, C., Nesh-Nash, T., Laguna, O., Kubin, E., Gümren, M., Fenwick, A., Ertan, A., Bernstein, M., Amara, H. and Van Bavel, J. 2022. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning. PNAS Nexus. 1 (3), pp. 1-15. https://doi.org/10.1093/pnasnexus/pgac093Article
Scenario generation and scenario quality using the cone of plausibility
Dhami, M., Wicke, L. and Onkal, D. 2022. Scenario generation and scenario quality using the cone of plausibility. Futures. 142, pp. 1-11. https://doi.org/10.1016/j.futures.2022.102995Article
Global sex differences in hygiene norms and their relation to sex equality
Eriksson, K., Dickins, T. and Strimling, P. 2022. Global sex differences in hygiene norms and their relation to sex equality. PLOS Global Public Health. 2 (6), pp. 1-17. https://doi.org/10.1371/journal.pgph.0000591Article
Securing future healthcare environments in a post-COVID-19 world: moving from frameworks to prototypes
Vithanwattana, N., Karthick, G., Mapp, G., George, C. and Samuels, A. 2022. Securing future healthcare environments in a post-COVID-19 world: moving from frameworks to prototypes. Journal of Reliable Intelligent Environments. 8 (3), pp. 299-315. https://doi.org/10.1007/s40860-022-00180-7Article
The EMT-activator ZEB1 is unrelated to platinum drug resistance in ovarian cancer but is predictive of survival
Rae, S., Spillane, C., Blackshields, G., Madden, S., Keenan, J. and Stordal, B. 2022. The EMT-activator ZEB1 is unrelated to platinum drug resistance in ovarian cancer but is predictive of survival. Human Cell. 35 (5), pp. 1547-1559. https://doi.org/10.1007/s13577-022-00744-yArticle
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
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.Book chapter
Self-concept, creativity and developmental dyslexia in university students: effects of age of assessment
Brunswick, N. and Bargary, S. 2022. Self-concept, creativity and developmental dyslexia in university students: effects of age of assessment. Dyslexia. 28 (3), pp. 293-308. https://doi.org/10.1002/dys.1722Article
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 e.V) Conference. Glasgow, UK 08 - 10 Jun 2022 Aachen, Germany Mainz Publishers. pp. 365-373Conference paper
Cross-sectional chest circumference and shape development in infants
Seifnaraghi, N., de Gelidi, S., Frerichs, I., Kallio, M., Sorantin, E., Tizzard, A., Demosthenous, A. and Bayford, R. 2022. Cross-sectional chest circumference and shape development in infants. BMC Research Notes. 15 (1), pp. 1-5. https://doi.org/10.1186/s13104-022-06087-zArticle
Short-stay crisis units for mental health service users on crisis care pathways: systematic review and meta-analysis
Anderson, K., Goldsmith, L., Lomani, J., Ali, Z., Clarke, G., Crowe, C., Jarman, H., Johnson, S., McDaid, D., Pariza, P., Park, A., Smith, J., Stovold, E., Turner, K. and Gillard, S. 2022. Short-stay crisis units for mental health service users on crisis care pathways: systematic review and meta-analysis. BJPsych Open. 8 (4). https://doi.org/10.1192/bjo.2022.534Article
A Walk through Housing History
Stewart, J. and Hendon, Z. 2022. A Walk through Housing History. Creative History in Classroom: Workshop 3, Places of Creativity. Online 10 - 10 Nov 2022Conference item
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
Planning and design scenarios for liveable cities
Clements-Croome, D., Marson, M., Yang, T. and Airaksinen, M. 2022. Planning and design scenarios for liveable cities. in: Abraham, M. (ed.) Encyclopedia of Sustainable Technologies Elsevier.Book chapter
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
Validity and reliability of strategy metrics to assess countermovement jump performance using the newly developed My Jump Lab smartphone application
Bishop, C., Jarvis, P., Turner, A. and Balsalobre-Fernández, C. 2022. Validity and reliability of strategy metrics to assess countermovement jump performance using the newly developed My Jump Lab smartphone application. Journal of Human Kinetics. 83, pp. 185-195. https://doi.org/10.2478/hukin-2022-0098Article
Predictors of outcomes following interdisciplinary acceptance and commitment therapy for chronic pain: profiling psychological flexibility
Yu, L., McCracken, L. and Scott, W. 2022. Predictors of outcomes following interdisciplinary acceptance and commitment therapy for chronic pain: profiling psychological flexibility. European Journal of Pain. 26 (7), pp. 1448-1459. https://doi.org/10.1002/ejp.1972Article
LearnSDN: optimizing routing over multimedia-based 5G-SDN using machine learning
Al-Jawad, A., Comsa, I., Shah, P. and Trestian, R. 2022. LearnSDN: optimizing routing over multimedia-based 5G-SDN using machine learning. The 14th International Conference on Communications (COMM). Bucharest, Romania [Virtual Conference] 16 - 18 Jun 2022 IEEE. https://doi.org/10.1109/COMM54429.2022.9817277Conference paper
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