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Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM frameworkHokmabad, Hossein Nourollahi; Husev, Oleksandr; Vinnikov, Dmitri; Belikov, Juri; Petlenkov, EduardIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings2023 / 5 p https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090

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ELC-ECG: efficient LSTM cell for ECG classification based on quantized architectureMirsalari, Seyed Ahmad; Nazari, Najmeh; Ansarmohammadi, Seyed Ali; Sinaei, Sima; Salehi, Mostafa E.; Daneshtalab, Masoud2021 IEEE International Symposium on Circuits and Systems (ISCAS), Daegu, Korea May 22-28, 2021 : proceedings2021 / 5 p https://doi.org/10.1109/ISCAS51556.2021.9401261 Conference Proceedings at Scopus Article at Scopus Article at WOS

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Generative adversarial network and CNN-LSTM based short-term power load forecastingLiu, Y.; Liang, Z.; Li, X.; Bakeer, Abualkasim Ahmed Ali2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)2023 https://doi.org/10.1109/CPE-POWERENG58103.2023.10227473

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Multi-level binarized LSTM in EEG classification for wearable devicesNazari, N.; Mirsalari, Seyed Ahmad; Sinaei, S.; Salehi, M.E.; Daneshtalab, Masoud2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing : PDP 2020, Västerås, Sweden, 11-13 March 20202020 / p. 175-181 https://doi.org/10.1109/PDP50117.2020.00033

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