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Forecasting

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

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

LSTM-based prediction method for shape error of steel truss during incremental launching construction

Zhe Hu, Hao Chen, [ ... ], Ronghui Wang

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

Estimating psychophysiological loads by repeated temperature steps on humans using a state–space model

Miho Iwasaki, Yusuke Morito, [ ... ], Yasuyoshi Watanabe

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

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

A hybrid approach for forecasting peak expiratory flow rate in asthma patients using combined linear regression and random forest model

Shayma Alkobaisi, Wan D. Bae, [ ... ], Robert Marek Nowak

Traffic flow prediction based on spatiotemporal encoder-decoder model

Yuanming Ding, Wei Zhao, [ ... ], Yunrui Tao

A machine learning framework for predicting fuel consumption and CO₂ emissions in hybrid and combustion vehicles: comparative analysis and performance evaluation

Rania A. Ibrahim, Nahla E. Zakzouk

Coupling coordination between agricultural carbon emission efficiency and food security in China: The spatial-temporal evolution and prediction

Xixian Zheng, Wenmei Liao

Investigating the coupling relationships of railway safety risks using the N-K model and complex network theory

Jiaxu Chen, Lin Zhao, [ ... ], Zhan Guo

A distributed framework for zero-day malware detection using federated ensemble models

Hassan Ishfaq, Jamal Hussain Shah, Rabia Saleem, Maira Afzal

A novel agricultural commodity price prediction model integrating deep learning and enhanced swarm intelligence algorithm

Kaixuan Sun, Qi Yao, Yanhui Li

Enhanced multi-horizon photovoltaic power forecasting: A novel approach integrating ICEEMDAN decomposition with hierarchical frequency neural networks

Yaopeng Han, Chenxi Li, [ ... ], Jun Wang

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