Prediction of Airtightness Performance of Stratospheric Ships Based on Multivariate Environmental Time-Series Data by Yitong Bi, Wenkuan Xu, Lin Song, Molan Yang, Xiangqiang Zhang

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Density matrix emulation of quantum recurrent neural networks for multivariate time series prediction by J D Viqueira, D Faílde, M M Juane, A Gómez, D Mera

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Fault Prediction for Rotating Mechanism of Satellite Based on SSA and Improved Informer by Qing Lan, Ye Zhu, Baojun Lin, Yizheng Zuo, Yi Lai

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Connector based short time series prediction by Wenjuan Gao, Cirong Li, Siyu Dong, Rui Zhang

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Application of three Transformer neural networks for short-term photovoltaic power prediction: A case study by Jiahao Wu, Yongkai Zhao, Ruihan Zhang, Xin Li, Yuxin Wu

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Comparing the Effectiveness of Deep Learning Approaches for Charging Time Prediction in Electric Vehicles: Kocaeli Example by Ayşe Tuğba Yapıcı, Nurettin Abut, Tarık Erfidan

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ALSTNet: Autoencoder fused long‐ and short‐term time‐series network for the prediction of tunnel structure by Bowen Du, Haohan Liang, Yuhang Wang, Junchen Ye, Xuyan Tan, Weizhong Chen

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Kalman filtering assimilated machine learning methods significantly improve the prediction performance of water quality parameters by Zhenyu Gao, Guoqiang Wang, Jinyue Chen, Lei Fang, Shilong Ren, A. Yinglan, Shuping Ji, Ruobing Liu, Qiao Wang

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Interaction-Temporal GCN: A Hybrid Deep Framework For Covid-19 Pandemic Analysis by Zehua Yu, Xianwei Zheng, Zhulun Yang, Bowen Lu, Xutao Li, Maxian Fu

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MBLSTM is a contextual interaction refined method for time series prediction by Weihan Qiu, Fangjie Zhu, Tianyong Hao, Maojie Wang, Runyue Huang

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Integrating InSAR Data and LE-Transformer for Foundation Pit Deformation Prediction by Bo Hu, Wen Li, Weifeng Lu, Feilong Zhao, Yuebin Li, Rijun Li

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MetaTrans-FSTSF: A Transformer-Based Meta-Learning Framework for Few-Shot Time Series Forecasting in Flood Prediction by Jiange Jiang, Chen Chen, Anna Lackinger, Huimin Li, Wan Li, Qingqi Pei, Schahram Dustdar

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Exploring New Paradigms in Time Series Prediction by Integrating Computer Simulations and Machine Learning by Pengcheng Wu, Yan Shi, Pengfei Zhao, Zhengzhao Gu

Subjects: “…Time series prediction…”
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Research on scraper conveyor load prediction method based on wavelet transform and BP neural network by Dan Zhang, Jiafeng Qin, Weidong Wu, Yongtao Zhu, Weijie Guo

Subjects: “…Time series prediction…”
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Data-Driven Carbon Emission Dynamics Under Ship In-Port Congestion by Weiyu Liu, Bowei Xu, Junjun Li

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A new adaptive grey prediction model and its application by Jianming Jiang, Ming Zhang, Zhongyong Huang

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Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN by Osman Eldoğan, Gülyeter Öztürk

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DFCNformer: A Transformer Framework for Non-Stationary Time-Series Forecasting Based on De-Stationary Fourier and Coefficient Network by Yuxin Jin, Yuhan Mao, Genlang Chen

Subjects: “…time-series prediction…”
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A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction by Yu Ding, Chenhao Li, Zhengong Cai, Xinghao Wang, Bowei Yang

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Time Series Prediction of Aerodynamic Noise Based on Variational Mode Decomposition and Echo State Network by Zhoufanxing Lei, Haiyang Meng, Jing Yang, Bin Liang, Jianchun Cheng

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