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Forecasting

Study on surface deformation induced by shield excavation due to coarse particle content in strongly weathered rock layers

Puzhen An, Baoxin Jia, Qinglei Yuan, Lei Chen

Regional PM_2.5 pollution forecasting using a hybrid model based on multi-scales feature fusion and deep learning algorithms

Yong Zhang, Wenya Zhang, Bo Wu, Weichen Yi

Statistical analysis of winning percentages in Japanese professional baseball using the Wins above Replacement indicator

Shino Shimizu, Yasuhiro Suzuki

STIL-TA: A new model of traffic flow forecasting based on spatiotemporal interactive learning and temporal attention

Linlong Chen, Linbiao Chen, Hongyan Wang, Jian Zhao

Unveiling the hidden burden of COVID-19 in Brazil’s obstetric population with severe acute respiratory syndrome: A machine learning model

Veridiana Freire Franco, Tatiana Assunção Zaccara, [ ... ], Rossana Pulcinelli Francisco

Modified Kumaraswamy seasonal autoregressive moving average models with exogenous regressors for double-bounded hydro-environmental data

Aline Armanini Stefanan, Murilo Sagrillo, Bruna G. Palm, Fábio M. Bayer

Cultivating competitive advantage for Chinese SMEs via big data analytics: The mediating role of data-driven innovation and antecedents of data governance and data-driven culture

Song Rixin, Ramayah, Ma Xinrui

A neural network approach to sarcopenia prediction based on bioelectrical impedance in community-dwelling older adults

Kyohei Shibuya, Yujiro Asano, [ ... ], Tomohiro Okura

Analysis of PM-bound polycyclic aromatic hydrocarbons exposure among motorcycle taxi drivers in six central provinces in Thailand in winter

Kamonwan Samana, Kimihito Ito, Orasa Suthienkul, Arroon Ketsakorn

Predictive effects of diabetes-related risk factors for falls in community-dwelling people with diabetic peripheral neuropathy based on a logistic regression model

Eneida Yuri Suda, Cristina Dallemole Sartor, [ ... ], Isabel C. N. Sacco

Annotation-free prediction of immunotherapy response in melanoma using single-cell transcriptomic data

Da Eun Oh, Gaeun Kee, [ ... ], Chang Ohk Sung

Development and validation of a bedside-available machine learning model to predict discrepancies between SaO₂ and SpO₂: Exploring factors related to the discrepancies

Raito Sato, Naoki Ito, [ ... ], Tadahiro Goto

Analysing factors influencing railway accidents: A predictive approach using multinomial logistic regression and data mining

Jaroslav Mašek, Lucia Duricova, Juraj Čamaj

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