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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Online tutoring system for programming courses to improve exam pass rate
Nalli, G., Culmone, R., Perali, A. and Amendola, D. 2023. Online tutoring system for programming courses to improve exam pass rate. Journal of E-Learning and Knowledge Society. 19 (1), pp. 27-35. https://doi.org/10.20368/1971-8829/1135704Article
Machine Learning model for student drop-out prediction based on student engagement
Brezočnik, L., Nalli, G., De Leone, R., Val, S., Podgorelec, V. and Karakatič, S. 2023. Machine Learning model for student drop-out prediction based on student engagement. Karabegovic, I., Kovačević, A. and Mandzuka, S. (ed.) 9th International Conference on New Technologies, Development and Application. Sarajevo, Bosnia and Herzegovina 22 - 24 Jun 2023 Cham Springer. pp. 486–496 https://doi.org/10.1007/978-3-031-31066-9_54Conference paper
Comparison of the effectiveness and performance of student workgroups in online wiki activities with and without AI
Nalli, G. and Smith, S. 2023. Comparison of the effectiveness and performance of student workgroups in online wiki activities with and without AI. 4th International Electronic Conference on Applied Sciences. Online 27 Oct - 10 Nov 2023 MDPI. https://doi.org/10.3390/ASEC2023-16273Conference paper
Machine-learning-based software to group heterogeneous students for online peer assessment activities
Amendola, D., Nalli, G. and Miceli, C. 2023. Machine-learning-based software to group heterogeneous students for online peer assessment activities. Fulantelli, G., Burgos, D., Casalino, G., Cimitile, M., Lo Bosco, G. and Taibi, D. (ed.) 4th International Conference on Higher Education Learning Methodologies and Technologies Online. Palermo, Italy 21 - 23 Sep 2022 Cham Springer. https://doi.org/10.1007/978-3-031-29800-4_2Conference paper
An exploratory randomised controlled trial comparing the effectiveness of different duration of canine-assisted interventions in higher education students
Manville, K, Coulson, M and Reynolds, G. 2023. An exploratory randomised controlled trial comparing the effectiveness of different duration of canine-assisted interventions in higher education students. Human-Animal Interactions. 2023. https://doi.org/10.1079/hai.2023.0038Article
Adopting a citizen science approach in translational experimental medicine research in non-alcoholic fatty liver disease: a study protocol
Shah, S., Barrado-Martín, Y., Marjot, T., Tomlinson, J. and Kiparoglou, V. 2023. Adopting a citizen science approach in translational experimental medicine research in non-alcoholic fatty liver disease: a study protocol. Citizen Science: Theory and Practice. 8 (1). https://doi.org/10.5334/cstp.555Article
Bridging neuroscience and robotics: spiking neural networks in action
Jones, A., Gandhi, V., Mahiddine, A. and Huyck, C. 2023. Bridging neuroscience and robotics: spiking neural networks in action. Sensors. 23 (21), pp. 1-14. https://doi.org/10.3390/s23218880Article
Stages of gynaecological cancers at the time of first presentation at a large cancer hospital in Pakistan: An observational study
Khaskheli, M., Baloch, S., Khaskheli, S., Durrani, R., Jhatial, N. and Shah, S. 2023. Stages of gynaecological cancers at the time of first presentation at a large cancer hospital in Pakistan: An observational study. Dubai Medical Journal. 6 (4), pp. 274-279. https://doi.org/10.1159/000534211Article
What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A mixed methods study in Tanzania
Dam, R., Mponzi, W., Msaky, D., Mwandyala, T., Kaindoa, E., Sinka, M., Kiskin, I., Herreros-Moya, E., Messina, J., Shah, S., Roberts, S. and Willis, K. 2023. What incentives encourage local communities to collect and upload mosquito sound data by using smartphones? A mixed methods study in Tanzania. Global Health Research and Policy. 8 (1). https://doi.org/10.1186/s41256-023-00298-yArticle
Identifying fibroblast growth factor receptor 3 as a mediator of periosteal osteochondral differentiation through the construction of microRNA-based interaction networks
Wells, L., Roberts, H., Luyten, F. and Roberts, S. 2023. Identifying fibroblast growth factor receptor 3 as a mediator of periosteal osteochondral differentiation through the construction of microRNA-based interaction networks. Biology. 12 (11). https://doi.org/10.3390/biology12111381Article
The implementation of digital tools for climate adaptation planning
Keibach, E. and Shayesteh, H. 2023. The implementation of digital tools for climate adaptation planning. Wang, L., Ge, H., Zhai, Z., Qi, D., Ouf, M., Sun, C. and Wang, D. (ed.) International Conference on Building Energy and Environment (COBEE 2022). Concordia University, Montreal 25 - 29 Jul 2022 Singapore Springer. pp. 2773–2783 https://doi.org/10.1007/978-981-19-9822-5_295Conference paper
Change of direction speed and deficit over single and multiple changes of direction: Influence of biological age in youth basketball players
Gonzalo-Skok, O. and Bishop, C. 2023. Change of direction speed and deficit over single and multiple changes of direction: Influence of biological age in youth basketball players. Journal of Sports Sciences. 41 (15), pp. 1490-1497. https://doi.org/10.1080/02640414.2023.2279817Article
Null effects of temporal prediction on recognition memory but evidence for differential neural activity at encoding. A registered report
Jones, A., Silas, J., Anderson, W. and Ward, E. 2023. Null effects of temporal prediction on recognition memory but evidence for differential neural activity at encoding. A registered report. Cortex. 169, pp. 130-145. https://doi.org/10.1016/j.cortex.2023.09.006Article
Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10)
Dada, E., Oyewola, D., Joseph, S., Emebo, O. and Oluwagbemi, O. 2023. Facial emotion recognition and classification using the Convolutional Neural Network-10 (CNN-10). Applied Computational Intelligence and Soft Computing. 2023. https://doi.org/10.1155/2023/2457898Article
Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK
Ueno, A., Dennis, C. and Dafoulas, G. 2023. Digital exclusion and relative digital deprivation: Exploring factors and moderators of internet non-use in the UK. Technological Forecasting and Social Change. 197. https://doi.org/10.1016/j.techfore.2023.122935Article
Validity of three commercial devices for recording movement velocity in the Bulgarian split squat
Chen, Z., Liao, K., Bishop, C., Bian, C. and Li, Y. 2023. Validity of three commercial devices for recording movement velocity in the Bulgarian split squat. Journal of Human Kinetics.Article
Classification of EEG signals on SEED dataset using improved CNN
Ramar, B., Ramalakshmi, R., Gandhi, V. and Pandiselvam, P. 2023. Classification of EEG signals on SEED dataset using improved CNN. 2nd International Conference on Edge Computing and Applications. Namakkal, India 19 - 21 Jul 2023 IEEE. pp. 1095-1102 https://doi.org/10.1109/ICECAA58104.2023.10212279Conference paper
Relationship between kinetic and kinematic measures of the countermovement jump and national weightlifting performance
Chavda, S., Lake, J., Comfort, P., Bishop, C., Joffe, S. and Turner, A. 2023. Relationship between kinetic and kinematic measures of the countermovement jump and national weightlifting performance. Journal of Science in Sport and Exercise. https://doi.org/10.1007/s42978-023-00245-wArticle
A Delphi study to strengthen research methods training in undergraduate psychology programmes
Thibault, R., Bailey-Rodriguez, D., Bartlett, J., Blazey, P., Green, R., Pownall, M. and Munafò, M. 2023. A Delphi study to strengthen research methods training in undergraduate psychology programmes. https://doi.org/10.31234/osf.io/gp9ajPre-print
Research-active therapists and therapy trainees: The need for continuity and clinical significance in our research
Cooper, M., Bailey-Rodriguez, D. and Fragkiadaki, E. 2023. Research-active therapists and therapy trainees: The need for continuity and clinical significance in our research. Qualitative Methods in Psychology Bulletin. 35 (1), pp. 5-10. https://doi.org/10.53841/bpsqmip.2023.1.35.5Article
Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications
Chowdhury, A., Isalm, M., Kaisar, S., Naha, R., Khoshkholghi, A., Aiash, M. and Khoda, M.E. 2023. Leveraging oversampling techniques in machine learning models for multi-class malware detection in smart home applications. IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications. Exeter, United Kingdom 01 - 03 Nov 2023 IEEE. pp. 2216-2221Conference paper
A topological features based quantum kernel
Incudini, M., Martini, F., Di Pierro, A. and Windridge, D. 2023. A topological features based quantum kernel. 7th International Conference on Quantum Techniques in Machine Learning. CERN, Geneva 19 - 24 Nov 2023Conference item
MesoGraph: automatic profiling of mesothelioma subtypes from histological images
Eastwood, M., Sailem, H., Marc, S., Gao, X., Offman, J., Karteris, E., Fernandez, A., Jonigk, D., Cookson, W., Moffatt, M., Popat, S., Minhas, F. and Robertus, J. 2023. MesoGraph: automatic profiling of mesothelioma subtypes from histological images. Cell Reports Medicine. 4 (10). https://doi.org/10.1016/j.xcrm.2023.101226Article
Moral leniency towards belief-consistent disinformation may help explain its spread on social media
Joyner, L., Buchanan, T. and Yetkili, O. 2023. Moral leniency towards belief-consistent disinformation may help explain its spread on social media. PLoS ONE. 18 (3). https://doi.org/10.1371/journal.pone.0281777Article
Why do people share political information and misinformation online? Developing a bottom-up descriptive framework
Perach, R., Joyner, L., Husbands, D. and Buchanan, T. 2023. Why do people share political information and misinformation online? Developing a bottom-up descriptive framework. Social Media + Society. 9 (3), pp. 1-16. https://doi.org/10.1177/20563051231192032Article
Interpretable chronic kidney disease risk prediction from clinical data using machine learning
Chennareddy, V., Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Interpretable chronic kidney disease risk prediction from clinical data using machine learning. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_63Conference paper
Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings
Morusupalli, R., Dandibhotla, T., Atluri, V., Windridge, D., Lingras, P. and Komati, V. (ed.) 2023. Multi-disciplinary Trends in Artificial Intelligence: 16th International Conference, MIWAI 2023, Hyderabad, India, July 21–22, 2023, Proceedings. Springer.Conference Proceedings
Addressing challenges in healthcare big data analytics
Tirunagari, S., Mohan, S., Windridge, D. and Balla, Y. 2023. Addressing challenges in healthcare big data analytics. 16th Multi-Disciplinary International Conference on Artificial Intelligence (MIWAI 2023). Hyderabad, India 21 2023 - 22 Jul 2024 Springer. https://doi.org/10.1007/978-3-031-36402-0_70Conference paper
Review of parameter tuning methods for nature-inspired algorithms
Joy, G., Huyck, C. and Yang, X. 2023. Review of parameter tuning methods for nature-inspired algorithms. in: Yang, X. (ed.) Benchmarks and Hybrid Algorithms in Optimization and Applications Singapore Springer. pp. 33-47Book chapter
Concurrent Carbon Capture and Biocementation through the Carbonic Anhydrase (CA) activity of microorganisms ‑ a review and outlook
Mwandira, W, Mavroulidou, M, Gunn M.J., Purchase, D., Garelick, H. and Garelick, J 2023. Concurrent Carbon Capture and Biocementation through the Carbonic Anhydrase (CA) activity of microorganisms ‑ a review and outlook. Environmental Processes. 10 (4). https://doi.org/10.1007/s40710-023-00667-2Article
Using Hidden Markov Chain for improving the dependability of safety-critical WSNs
Al-Nader, I., Lasebae, A. and Raheem, R. 2023. Using Hidden Markov Chain for improving the dependability of safety-critical WSNs. Barolli, L. (ed.) 37th International Conference on Advanced Information Networking and Applications. Federal University of Juiz de Fora, Brazil 29 - 31 Mar 2023 Cham, Switzerland. Springer. pp. 460–472 https://doi.org/10.1007/978-3-031-29056-5_40Conference paper
Visual attribution using Adversarial Latent Transformations
Zia, T., Wahab, A., Windridge, D., Tirunagari, S. and Bhatti, N. 2023. Visual attribution using Adversarial Latent Transformations. Computers in Biology and Medicine. 166. https://doi.org/10.1016/j.compbiomed.2023.107521Article
Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain
Edris, E., Aiash, M., Khoshkholghi, A., Naha, R., Chowdhury, A. and Loo, J. 2023. Performance and cryptographic evaluation of security protocols in distributed networks using applied pi calculus and Markov Chain. Internet of Things. 24. https://doi.org/10.1016/j.iot.2023.100913Article
Effect of hot water immersion on acute physiological responses following resistance exercise
Jackman, J., Bell, P., Van Someren, K., Gondek, M., Hills, F., Wilson, L. and Cockburn, E. 2023. Effect of hot water immersion on acute physiological responses following resistance exercise. Frontiers in Physiology. 14. https://doi.org/10.3389/fphys.2023.1213733Article
‘Works for some but not others’ A qualitative study on teachers’ perspectives and perceived pupil experience of a North West London school-based run/walk programme
Anico, S., Wilson, L., Smith, E. and Eyre, E. 2023. ‘Works for some but not others’ A qualitative study on teachers’ perspectives and perceived pupil experience of a North West London school-based run/walk programme. Education 3-13. https://doi.org/10.1080/03004279.2023.2210582Article
An electrokinetic‑biocementation study for clay stabilisation using carbonic anhydrase‑producing bacteria
Mwandira, W., Mavroulidou, M., Satheesh, A., Gunn, M.J., Gray, C., Purchase, D. and Garelick, J. 2023. An electrokinetic‑biocementation study for clay stabilisation using carbonic anhydrase‑producing bacteria. Environmental Science and Pollution Research. 30 (47), pp. 104916-104931. https://doi.org/10.1007/s11356-023-29817-7Article
A narrative review of the most demanding scenarios in basketball: Current trends and future directions
Alonso Pérez-Chao, E., Portes, R., Gómez, M., Parmar, N., Lorenzo, A. and Jiménez-Sáiz, S.L. 2023. A narrative review of the most demanding scenarios in basketball: Current trends and future directions. Journal of Human Kinetics. 89, pp. 231-245. https://doi.org/10.5114/jhk/170838Article
Testing limb symmetry and asymmetry after Anterior Cruciate Ligament injury: 4 considerations to increase its utility
Jordan, M and Bishop, C. 2023. Testing limb symmetry and asymmetry after Anterior Cruciate Ligament injury: 4 considerations to increase its utility. Strength and Conditioning Journal. https://doi.org/0.1519/SSC.0000000000000821Article
Total score of athleticism: Profiling strength and power characteristics in professional soccer players following anterior cruciate ligament reconstruction to assess return to sport readiness
Maestroni, L., Turner, A., Papadopoulos, K., Sideris, V. and Read, P. 2023. Total score of athleticism: Profiling strength and power characteristics in professional soccer players following anterior cruciate ligament reconstruction to assess return to sport readiness. American Journal of Sports Medicine. 51 (12), pp. 3121-3130. https://doi.org/10.1177/03635465231194778Article
Thermodynamics of mechanopeptide sidechains
Haque, M., Kadir, M. and Bayford, R. 2023. Thermodynamics of mechanopeptide sidechains. AIP Advances. 13 (8). https://doi.org/10.1063/5.0154129Article
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