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, G. et al. Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review. J Neurol 271, 6452–6470 (2024). https://doi.org/10.1007/s00415-024-12611-x Nayan
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Seshadri, D.R., Li, R.T., Voos, J.E. et al. Wearable sensors for monitoring the internal and external workload of the athlete. npj Digit. Med. 2, 71 (2019). https://doi.org/10.1038/s41746- 019-0149-2 (opens
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Data Collection Considerations for Connected Health. Sensors, 21(16), 1-31. [e5589]. https://doi.org/10.3390/s21165589 Moore, K., O'Shea, E., Kenny, L., Barton, J., Tedesco, S., Sica, M., Crowe, C
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hands-on experience with modern robotic welding cell, advanced imaging sensors (including high dynamic range camera and arc/melt-pool vision), real-time data acquisition, and in-house metallurgical
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ventilation systems, active air treatment technologies (e.g. particulate filters, UV disinfection) and sensor networks to monitor and respond to air quality in real time. However, there’s a critical need to
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Resource Efficient Pseudo Random Number Generator based on Sawtooth Maps for Internet of Things. Wiley Online: https://doi.org/10.1002/spy2.304 Abu Tair, M., Djahel, S., Perry, P., Scotney, B.W., Zia, U
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disappearance of human creative labour. Media Practice and Education, 26(2), 200–217. https://doi.org/10.1080/25741136.2024.2355597 De Felice, F., & Petrillo, A. (2024). Digital Effects, Strategies, and Industry
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Apply and key information This project is funded by: Department for the Economy (DfE) Summary FibreWatch tackles sustainability in fibre crop production by the use drones, sensors, and AI to monitor
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of thermodynamics, HVAC systems, or control systems is advantageous. Experience with environmental monitoring equipment, sensor systems, or energy modelling software will be beneficial. Effective communication skills
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vulnerable and mobility impaired individuals, and case study analyses. Proposals that use digital technologies in data capture are welcomed, for example GPS (location data) and other sensors that measure