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Results for machine learning

Publications & Outputs

  1. Galaxy Cluster Detection and Characterisation in the Big Data Era

    Chan, M., 15/08/2022, Lancaster University. 245 p.

    Research output: ThesisDoctoral Thesis

  2. A Novel Self‐Updating Design Method for Complex 3D Structures Using Combined Convolutional Neuron and Deep Convolutional Generative Adversarial Networks

    Gu, Z., Hou, X., Saafi, M. & Ye, J., 30/06/2022, In: Advanced Intelligent Systems. 4, 6, 10 p., 2100186.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. MULDASA: Multifactor Lexical Sentiment Analysis of Social-Media Content in Nonstandard Arabic Social Media

    Alwakid, G., Osman, T., El-Haj, M., Alanazi, S., Humayun, M. & Us Sama, N., 9/04/2022, In: Applied Sciences. 12, 8, 18 p., 3806.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Getting attention in different languages: A usage-based approach to parenthetical LOOK in Chinese, Dutch, English and Italian

    Van Olmen, D. & Tantucci, V., 30/03/2022, In: Intercultural Pragmatics. 19, 2, p. 141-181 41 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Machine Learning Approach Using a Handheld Near-Infrared (NIR) Device to Predict the Effect of Storage Conditions on Tomato Biomarkers

    Emsley, N. E. M., Holden, C. A., Guo, S., Bevan, R. S., Rees, C., McAinsh, M. R., Martin, F. L. & Morais, C. L. M., 21/01/2022, In: ACS Food Science & Technology. 2, 1, p. 187-194 8 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  6. The Influence of Social Factors on Mental Health and Wellbeing during the COVID-19 Pandemic

    El-Haj, M. & Sartain, A., 13/01/2022, 2021 IEEE International Conference on Big Data (Big Data). IEEE, p. 2818-2827 10 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  7. Environmental Consequence of Deep Learning

    Borowiec, D., Harper, R. H. R. & Garraghan, P., 11/01/2022, In: ITNOW. 63, 4, p. 10-11 2 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Prediction of flood quantiles at ungauged catchments for the contiguous USA using Artificial Neural Networks

    Filipova, V., Hammond, A., Leedal, D. & Lamb, R., 1/01/2022, In: Hydrology Research. 53, 1, p. 107-123 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. Design and analysis method of nonlinear helical springs using a combining technique: Finite element analysis, constrained Latin hypercube sampling and genetic programming

    Gu, Z., Hou, X. & Ye, J., 1/11/2021, In: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science. 235, 22, p. 5917-5930 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion

    Cappugi, L., Castorrini, A., Bonfiglioli, A., Minisci, E. & Campobasso, S., 1/10/2021, In: Energy Conversion and Management. 245, 17 p., 114567.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  11. Explainable artificial intelligence: an analytical review

    Angelov, P., Almeida Soares, E., Jiang, R., Arnold, N. & Atkinson, P., 1/09/2021, In: WIREs Data Mining and Knowledge Discovery. 11, 5, 13 p., e1424.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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