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Corrector LSTM: built-in training data correction for improved time-series forecasting.

• Authors : Baghoussi, Yassine (AUTHOR); Soares, Carlos (AUTHOR); Mendes-Moreira, João (AUTHOR)

Subjects: BOX-Jenkins forecasting; RECURRENT neural networks; MACHINE learning

• Source: Neural Computing & Applications. Sep2024, Vol. 36 Issue 26, p16213-16231. 19p.

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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Applied Science & Technology Full Text (H.W. Wilson)

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A predictive replication for multi‐tenant databases using deep learning.

• Authors : Abdel Raouf, Ahmed E. (AUTHOR); Abo‐alian, Alshaimaa (AUTHOR); Badr, Nagwa L. (AUTHOR)

Subjects: BOX-Jenkins forecasting; MOVING average process; RECURRENT neural networks

• Source: Concurrency & Computation: Practice & Experience. 7/10/2021, Vol. 33 Issue 13, p1-20. 20p.

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Hybrid online model based multi seasonal decompose for short-term electricity load forecasting using ARIMA and online RNN.

• Authors : Dat, Nguyen Quang¹ (AUTHOR); Ngoc Anh, Nguyen Thi¹ (AUTHOR) ; Nhat Anh, Nguyen² (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *FORECASTING; *TIME series analysis

• Source: Journal of Intelligent & Fuzzy Systems. 2021, Vol. 41 Issue 5, p5639-5652. 14p.

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Making the hospital smart: using a deep long short-term memory model to predict hospital performance metrics.

• Authors : Jia, Qiong¹ (AUTHOR) ; Zhu, Ying² (AUTHOR) ; Xu, Rui³ (AUTHOR)

Subjects: *BOX-Jenkins forecasting; *STANDARD deviations; *ARTIFICIAL neural networks

• Source: Industrial Management & Data Systems. 2022, Vol. 122 Issue 10, p2151-2174. 24p.

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PREDICTING STANDARDIZED PRECIPITATION EVAPOTRANSPIRATION INDEX (SPEI) USING SVM AND ARIMA MODELS: A COMPARATIVE STUDY.

• Authors : Mossad, Amr; Abdou, Salwa Hassan

Subjects: BOX-Jenkins forecasting; TIME series analysis; WATER management

• Source: Misr Journal of Agricultural Engineering; Oct2024, Vol. 41 Issue 4, p263-278, 16p

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Statistical Machine and Deep Learning Methods for Forecasting of Covid-19.

• Authors : Juneja, Mamta; Saini, Sumindar Kaur; Kaur, Harleen

Subjects: REGRESSION analysis; RECURRENT neural networks; STANDARD deviations

• Source: Wireless Personal Communications; Sep2024, Vol. 138 Issue 1, p497-524, 28p

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