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Open Access research that better understands changing marine ecologies...

Strathprints makes available scholarly Open Access content by researchers in the Department of Mathematics & Statistics.

Mathematics & Statistics hosts the Marine Population Modelling group which is engaged in research into topics surrounding marine resource modelling and ecology. Recent work has included important developments in the population modelling of marine species.

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Number of items: 3.

Kingphai, Kunjira and Moshfeghi, Yashar; Nicosia, Giuseppe and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos M. and Umeton, Renato, eds. (2024) On channel selection for EEG-based mental workload classification. In: Machine Learning, Optimization, and Data Science. Lecture Notes in Computer Science . Springer-Verlag, GBR, pp. 403-417. ISBN 9783031539664

Kingphai, Kunjira and Moshfeghi, Yashar; Nicosia, Giuseppe and Giuffrida, Giovanni and Ojha, Varun and La Malfa, Emanuele and La Malfa, Gabriele and Pardalos, Panos and Di Fatta, Giuseppe and Umeton, Renato, eds. (2023) On time series cross-validation for deep learning classification model of mental workload levels based on EEG signals. In: Machine Learning, Optimization, and Data Science - 8th International Conference, LOD 2022, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13811 . Springer Science and Business Media Deutschland GmbH, ITA, pp. 402-416. ISBN 9783031258916

Kingphai, Kunjira and Moshfeghi, Yashar (2021) Mental workload prediction level from EEG signals using deep learning models. In: The 3rd Neuroergonomics Conference 2021, 2021-09-11 - 2021-09-16.

This list was generated on Sun Jul 14 15:18:41 2024 BST.