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Items where Author is "Ahmed, Baseer"

Items where Author is "Ahmed, Baseer"

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acoustic signal processing anomaly detection convolutional neural networks renewable energy short-time fourier transform spectrograms wind turbines
Number of items: 7.

acoustic signal processing

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

anomaly detection

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

convolutional neural networks

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

renewable energy

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

short-time fourier transform

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

spectrograms

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

wind turbines

Ahmed, Baseer and Wang, Jia ORCID logoORCID: https://orcid.org/0000-0003-4379-9724 (2026) Spectrogram-based CNN feature optimisation for acoustic detection of wind turbine blade damage. In: Intelligent Methods, Systems, and Applications (IMSA). Institute of Electrical and Electronics Engineers (IEEE), Piscataway, New Jersey, pp. 401-406. ISBN 979-8331584887 (doi:10.1109/IMSA70415.2026.11700328)

This list was generated on Sat Oct 17 15:50:10 2026 BST.