يعرض 1 - 20 نتائج من 83 نتيجة بحث عن '"Suliman, Azizah"', وقت الاستعلام: 0.57s تنقيح النتائج
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    المصدر: Lecture Notes in Electrical Engineering ; Proceedings of the 8th International Conference on Computational Science and Technology ; page 675-686 ; ISSN 1876-1100 1876-1119 ; ISBN 9789811685149 9789811685156

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    المصدر: Lecture Notes in Electrical Engineering ; Proceedings of the 8th International Conference on Computational Science and Technology ; page 765-776 ; ISSN 1876-1100 1876-1119 ; ISBN 9789811685149 9789811685156

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    المصدر: Salleh , N S M , Saripuddin , M , Suliman , A & Jorgensen , B N 2021 , Electricity Anomaly Point Detection using Unsupervised Technique Based on Electricity Load Prediction Derived from Long Short-Term Memory . in 2021 2nd International Conference on Artificial Intelligence and Data Sciences, AiDAS 2021 . IEEE , 2nd International Conference on Artificial Intelligence and Data Sciences, AiDAS 2021 , Ipoh , Malaysia , 08/09/2021 . https://doi.org/10.1109/AiDAS53897.2021.9574184

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    المصدر: Md Salleh , N S , Suliman , A & Jorgensen , B N 2021 , Experiment on Electricity Consumption Prediction using Long Short-Term Memory Architecture on Residential Electrical Consumer . in 2021 International Congress of Advanced Technology and Engineering, ICOTEN 2021 . IEEE , 2021 International Congress of Advanced Technology and Engineering, ICOTEN 2021 , Virtual, Online , 04/07/2021 . https://doi.org/10.1109/ICOTEN52080.2021.9493466

    مصطلحات موضوعية: Electricity usage, LSTM, prediction, time-series

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    المصدر: Md Salleh , N S , Suliman , A & Jorgensen , B N 2020 , A Systematic Literature Review of Machine Learning Methods for Short-term Electricity Forecasting . in 2020 8th International Conference on Information Technology and Multimedia, ICIMU 2020 . IEEE , pp. 409-414 , 8th International Conference on Information Technology and Multimedia, ICIMU 2020 , Selangor , Malaysia , 24/08/2020 . https://doi.org/10.1109/ICIMU49871.2020.9243603

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    مصطلحات موضوعية: QA75 Electronic computers. Computer science

    وصف الملف: application/pdf

    Relation: https://repo.uum.edu.my/id/eprint/22830/1/ICOCI%202017%20215-221.pdf; Suliman, Azizah and Nazri, Nursyazana and Nazeri, Surizal (2017) Applying a new hybrid model of embedded system development methodology on a flood detection system. In: 6th International Conference on Computing & Informatics (ICOCI2017), 25 - 27 April 2017, Kuala Lumpur.

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    Academic Journal

    المؤلفون: Bohani, Farah Aqilah1 (AUTHOR), Suliman, Azizah1 (AUTHOR), Saripuddin, Mulyana1 (AUTHOR), Sameon, Sera Syarmila1 (AUTHOR), Md Salleh, Nur Shakirah1 (AUTHOR), Nazeri, Surizal1 (AUTHOR)

    المصدر: Journal of Electrical & Computer Engineering. 7/21/2021, p1-10. 10p.

    الشركة/الكيان: STATE Grid Corp. of China

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