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Forecasting

TCN-QV: an attention-based deep learning method for long sequence time-series forecasting of gold prices

Yishuai Yang

A hybrid TCN-XGBoost model for agricultural product market price forecasting

Tianwen Zhao, Guoqing Chen, [ ... ], Piyapatr Busababodhin

Traffic accident risk prediction based on deep learning and spatiotemporal features of vehicle trajectories

Hao Li, Linbing Chen

LSTM-conformal forecasting-based bitcoin forecasting method for enhancing reliability

Xiangyue Zhang, Yuyun Kang, [ ... ], Keqing Wang

Analyzing and predicting global happiness index via integrated multilayer clustering and machine learning models

Boxu Yang, Xiang Xie

Clinical assessment of the criticality index – dynamic, a machine learning prediction model of future care needs in pediatric inpatients

Anita K. Patel, Taylor Olson, [ ... ], Murray M. Pollack

Analysis of crop disease and pest occurrences: Insights from Japan’s national surveys

Jianqiang Sun, Sunao Ochi, Takehiko Yamanaka

Prediction of stress-strain behavior of rock materials under biaxial compression using a deep learning approach

Changsheng Li, Xinsong Zhang

A hybrid power load forecasting model using BiStacking and TCN-GRU

Jun Ma, Jishen Peng, [ ... ], Hao Liu

Towards sustainable architecture: Enhancing green building energy consumption prediction with integrated variational autoencoders and self-attentive gated recurrent units from multifaceted datasets

Qing Zeng, Fang Peng, Xiaojuan Han

A divide-and-conquer approach based on deep learning for long RNA secondary structure prediction: Focus on pseudoknots identification

Loïc Omnes, Eric Angel, [ ... ], Fariza Tahi

Patent value prediction in biomedical textiles: A method based on a fusion of machine learning models

Yifan He, Kehui Deng, Jiawei Han

Development of a clinical predictive score for allergic reactions during oral food challenges in pediatric patients

Manatchanok Pattarakiatjaroen, Araya Yuenyongviwat, Pasuree Sangsupawanich

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