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. Further information on cost of living Recommended reading [1]. Rana, Meghavi, and Megha Bhushan. "Machine learning and deep learning approach for medical image analysis: diagnosis to detection." Multimedia
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data for over 13,000 households in Great Britain. Energies, 14(21), 6934. Williams, S. (2020) Can machine learning be used to predict energy performance scores?. Available at: https
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Review. Agronomy 2022, 12, 967. F. Asharindavida, O. Nibouche, J. Uhomoibhi, H. Wang, and J. Vincent, “Evaluation of olive oil quality using a miniature spectrometer: A machine learning approach,” in
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Dysfunction in Older People Using Supervised Machine Learning Techniques: Observational Study', JMIR Medical Informatics, vol. 8, no. 9, e20995, pp. 1-23. https://doi.org/10.2196/20995 Johnston, V, Black, M
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of Brain-Computer Interface (BCI) technology as a support system to improve group decision-making. Such systems combine inputs from multiple users to improve the overall decision quality. However, these
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rapid transformations urgently requires a robust bridge between humans and machines that enable more sophisticated collaborative partnerships, rather than the traditional "ownership" model to address and
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computer modelling, we aim to unveil the secrets of astrocytic calcium signalling in neurovascular coupling. Your Mission: Craft detailed computer models to unravel how astrocyte endfeet respond to neuron
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would be to implement multimodal machine learning which can combine information perceived through multiple modalities such as smart-insole, IMU data and , and facial expressions Essential criteria
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of human and machine interactions. In 4th industrial revolution, robots will be commonplace alongside humans in industry to work as co-workers on manufacturing/assembly line where robots may be employed as
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an effective universal model to predict the risk of medicine non-adherence in patients with T2D. Machine learning algorithms will be applied to data collected in three different centres based in different