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these datasets, the research will identify service gaps, evolving programme needs, and barriers faced by users. A focus on addressing bias in algorithmic profiling will ensure fair, equitable data-driven decision
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Apply and key information This project is funded by: Department for the Economy (DfE) Vice Chancellor's Research Scholarship (VCRS) Summary Machine-learning algorithms are becoming essential
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, M. and Eriksson, L., 2020. “A realistic simulation testbed of a turbocharged spark-ignited engine system: A platform for the evaluation of fault diagnosis algorithms and strategies”. IEEE Control
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exploits ML algorithms, coupled with an intuitive smartphone app, to forecast an individual’s risk of experiencing a seizure using data obtained from wearable devices. All development within the project is
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] Lenfesty, Bhattacharyya and Wong-Lin (In press) Uncovering dynamical equations of stochastic decision models using data-driven SINDy algorithm. Neural Computation. [6] Collins and Shenhav (2022) Advances in
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testing method. The student involved in this PhD project will first understand the working of open-source approximate systems available at hardware, software and algorithm levels. Then, the hardware
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rehabilitation. Artificial intelligence (AI) plays a crucial role by analysing large volumes of sensor data with high accuracy. AI algorithms filter out noise, correct sensor errors, and integrate data from