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Forecasting

Load forecasting method based on CEEMDAN and TCN-LSTM

Luo Heng, Cheng Hao, Liu Chen Nan

Comparison of model feature importance statistics to identify covariates that contribute most to model accuracy in prediction of insomnia

Alexander A. Huang, Samuel Y. Huang

A deep neural network prediction method for diabetes based on Kendall’s correlation coefficient and attention mechanism

Xiaobo Qi, Yachen Lu, [ ... ], Lifang Ren

Forecasting the rheological state properties of self-compacting concrete mixes using the response surface methodology technique for sustainable structural concreting

Edwin Zumba, Nancy Velasco, [ ... ], Shadi Hanandeh

An integrated method for the leakage fault mode diagnosis and life prediction of the reactor coolant pump

Yinghua Shao, Rui Kang, Jingwen Fu, Jie Liu

Prediction of final pathology depending on preoperative myometrial invasion and grade assessment in low-risk endometrial cancer patients: A Korean Gynecologic Oncology Group ancillary study

Dong-hoon Jang, Hyun-Gyu Lee, [ ... ], Yun Hwan Kim

State-level population estimates of sexual minority adolescents in the United States: A predictive modeling study

Johannes O. Ferstad, Maria Aslam, [ ... ], Joshua A. Salomon

A new hybrid machine learning model for predicting the renewal life of patents

Ashit Kumar, Pritam Ranjan, Arnab Koley, Shadab Danish

Individual differences in sharing false political information on social media: Deliberate and accidental sharing, motivations and positive schizotypy

Tom Buchanan, Rotem Perach, [ ... ], Laura Joyner

Factor-GAN: Enhancing stock price prediction and factor investment with Generative Adversarial Networks

Jiawei Wang, Zhen Chen

Assessing the impact of climate variability on maize yields in the different regions of Ghana—A machine learning perspective

Samuel Asante Gyamerah, Clement Asare, Henry Ofoe Agbi-Kaeser, Frank Baffour-Ata

Prognostic value of combining 24-hour ASPECTS and hemoglobin to red cell distribution width ratio to the THRIVE score in predicting in-hospital mortality among ischemic stroke patients treated with intravenous thrombolysis

Sarawut Krongsut, Surachet Srikaew, Niyada Anusasnee

Carbon peaking prediction scenarios based on different neural network models: A case study of Guizhou Province

Da Lian, Shi Qiang Yang, [ ... ], Wen Rui Ran

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