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Forecasting

Innovative use of biowaste based cementitious grouts for semi-flexible pavement application and optimization using response surface methodology

Muhammad Imran Khan

An exploratory study on predicting HER2-positive expression status of breast cancer using ultrasound radiomics combined with machine learning models

Xin-Ran Zhang, Sha-Sha Yuan, [ ... ], Xiao-Hong Fu

Methodology for predicting hospital admissions and evaluating recovery rates for coronavirus disease in Japan

Koichiro Maki

A machine learning approach for predicting 72-hour mortality of hypothermic patients only using non-invasive parameters: A multi-center retrospective cohort study

Chunliang Jiang, GuoFeng Ru, [ ... ], Guang Zhang

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

Cross-market volatility spillovers between China and the United States: A DCC-EGARCH-t-Copula framework with out-of-sample forecasting

Jin Zeng, Jingwen Wu

AI-driven 3D CT imaging prediction model for improving preoperative detection of visceral pleural invasion in early-stage lung cancer

Wakako Nagase, Kazuharu Harada, [ ... ], Norihiko Ikeda

EGCN: Entropy-based graph convolutional network for anomalous pattern detection and forecasting in real estate markets

Dat Le, Sutharshan Rajasegarar, [ ... ], Maia Angelova

Transfer learning-driven prediction of oil and gaspipeline corrosion rates in small sample scenarios

Pujun Long, Guopan Yang, [ ... ], Mi Liang

Registered report: Stress testing predictive models of ideological prejudice

Jordan L. Thompson, Abigail L. Cassario, [ ... ], Geoffrey A. Wetherell

Machine learning framework for forecasting air pollution: Evaluating seasonal and climatic influences in Istanbul, Turkey

Nadia AL-Rousan, Hazem Al-Najjar, Ismail A. Elhaty

On the effectiveness of network metrics on key class prediction: An empirical study

Shiyuan Zhou, Wei Wu, [ ... ], Chenxiang Yuan

Development and internal validation of multimodal machine learning models for predicting eligibility for mechanical thrombectomy in suspected stroke patients using routinely collected clinical and imaging data

Arjun Agarwal, Nirman Bharti, [ ... ], Adnan I. Qureshi

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