Penerapan Metode Extreme Learning Machine (ELM) untuk Memprediksi Hasil Sensor EWS Trafo
Early Warning System (EWS) Trafo merupakan alat monitoring secara konitinu untuk trafo yang memberikan peringatan saat terdeteksi anomaly, dengan tujuan mencegah ledakan. Alat ini menerapkan teknologi artificial intelligence dan machine learning untuk memantau dan memprediksi kondisi trafo secara real-time dengan menggunakan data sensor yang ...
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Short time solar power forecasting using P-ELM approach
Accurately predicting solar power to ensure the economical operation of microgrids and smart grids is a key challenge for integrating the large scale photovoltaic (PV) generation into conventional power systems. This paper proposes an accurate short-term
Shuqi Shi, Boyang Liu, Long Ren, Yu Liu
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PREDIKSI RISIKO PENYAKIT HIPERTENSI MENGGUNAKAN METODE EXTREME LEARNING MACHINE (ELM)
Hipertensi adalah penyakit disebabkan oleh peningkatan abnormal tekanan darah, baik tekanan darah sistolik maupun tekanan darah diastolik. Berbagai faktor risiko yang menyebabkan penyakit ini diantaranya riwayat keluarga, umur, jenis kelamin, dan lain-lain.
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Peramalan Produksi Padi Menggunakan Extreme Learning Machine (ELM) Dengan Deteksi Outlier
Peramalan produksi padi yang akurat sangat penting dalam mendukung perencanaan pertanian yang efisien. Penelitian ini mengusulkan kombinasi metode Extreme Learning Machine (ELM) dengan teknik deteksi outlier untuk meningkatkan akurasi peramalan produksi padi.
Isnaini Septyana Wanda +3 more
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Extreme Learning Machine (ELM)-Based Classification of Benign and Malignant Cells in Breast Cancer. [PDF]
Toprak A.
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Towards Improving the Intrusion Detection through ELM (Extreme Learning Machine)
Iftikhar Ahmad, Rayan Atteah Alsemmeari
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[Objective] In order to solve the issue of excessive redundant information in near-infrared spectroscopy, enhance the accuracy of wine quality evaluation models, a rapid and non-destructive method was established for wine quality evaluation.
DOU Li, ZHENG Wei, LI Baiqiu, LI Fei
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Application of extreme learning machine (ELM) forecasting model on CO2 emission dataset of a natural gas-fired power plant in Dhaka, Bangladesh. [PDF]
Rahman M, Rashid F, Roy SK, Habib MA.
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Predicting the diabetic foot in patients with type 2 diabetes mellitus based on machine learning. [PDF]
Zhang H, Fan W, Li P, Chen X, Yin S.
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Robust Incipient Fault Diagnosis of Rolling Element Bearings Under Small-Sample Conditions Using Refined Multiscale Rating Entropy. [PDF]
Wu S, Liu H, Tao L.
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