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surveys and qualitative focus group discussions. 3. Investigate opportunities for pharmacogenomic-guided prescribing through database search and machine learning. This will be achieved by collecting
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diagnosis and data-driven anomaly classifiers for fault isolation”. Control Engineering Practice, 80, pp.146-156. Dröder, K., Bobka, P., Germann, T., Gabriel, F. and Dietrich, F., 2018. “A machine learning
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roles in intelligence systems for our daily lives, such as computer vision, autonomous car driving, earth observation, etc. Deep learning is typically data driven, there is little domain knowledge
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Löfström, T., Yapicioglu, F.R., Stramiglio, A., Löfström, H. and Vitali, F., 2024. Fast Calibrated Explanations: Efficient and Uncertainty-Aware Explanations for Machine Learning Models. arXiv
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Rehabilitation of Pavements (pp. 32-38). Cham: Springer Nature Switzerland. Rathore, M.M., Shah, S.A., Shukla, D., Bentafat, E. and Bakiras, S. (2021). The role of AI, machine learning, and big data in digital
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. In collaboration with LoweConex, a leading software and analytics provider for connected building assets, this project combines machine learning, physics-based models, and expert domain knowledge
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Summary Recognizing human activities accurately is crucial in smart environments, supporting applications in healthcare, security, and automation. Traditional machine learning struggles with
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being implemented in many practical applications such as image processing, AI and machine learning where exact results are not critical and intrinsic errors are acceptable. However, approximate computing
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Finite Element Analysis and Machine Learning”, Plos One, 18(11): e0294879, 15 pages, 2023. (https://doi.org/10.1371/journal.pone.0294879 ) S. Ajami, N. Rodriguez-Florez, J. Ong, N.U.O. Jeelani, D. Dunaway
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. (2023). Improving vitamin D content in pork meat by UVB biofortification. Meat Science, 199, 109115. Rosbotham, E.J., Rankin, D…., & Pourshahidi, L.K. (2021) The use of supervised machine learning