Predictive Analytics in Finance Using the Arima Model. Application for Bucharest Stock Exchange Financial Companies Closing Prices by Spulbar Cristi, Ene Cezar Cătălin

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Decomposition of a time series and forecasting on the example of PJSC Novolipetsk Metallurgical Combine shares by O. V. Baykova, E. O. Gromyko, Yu. V. Amelkina

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Machine learning of swimming data via wisdom of crowd and regression analysis by Jiang Xie, Junfu Xu, Celine Nie, Qing Nie

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SensorDBSCAN: Semi-Supervised Active Learning Powered Method for Anomaly Detection and Diagnosis by Petr Ivanov, Maria Shtark, Alexander Kozhevnikov, Maksim Golyadkin, Dmitry Botov, Ilya Makarov

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Anomaly detection in multidimensional time series for water injection pump operations based on LSTMA-AE and mechanism constraints by Mei Wang, Xinyuan Zhu, Guangyue Zhou, Kewen Li, Qingshan Wu, Wankai Fan

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Multiscale Granger dependencies in the precipitation network of the island of Sicily by Vera Pecorino, Alessandro Pluchino, Alessandro Pluchino, Andrea Rapisarda, Andrea Rapisarda, Andrea Rapisarda, Kateřina Hlaváčková-Schindler

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Spatio-temporal trend and change detection of temperature and precipitation of Kashafroud basin by Amenh Khosravi, Mahmood Azari

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An observation-based method to estimate carbonate system variations in the Labrador Sea by Claire Boteler, Michael Dowd, Eric C. J. Oliver, Douglas W. R. Wallace

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Interactive effects of atmospheric oxidising pollutants and heat waves on the risk of residential mortality by Nan Ren, Huimin Huang, Baoying Liu, Chuancheng Wu, Jianjun Xiang, Quan Zhou, Shuling Kang, Xiaoyang Zhang, Yu Jiang

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Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review by Victoria Moglia, Owen Johnson, Gordon Cook, Marc de Kamps, Lesley Smith

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Estimating cash in bank branches by time series and neural network approaches by Pejman Peykani, Farzad Eshghi, Alireza Jandaghian, Hamed Farrokhi-Asl, Farid Tondnevis

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Machine Learning-Based Anomaly Prediction for Proactive Monitoring in Data Centers: A Case Study on INFN-CNAF by Andrea Asperti, Gabriele Raciti, Elisabetta Ronchieri, Daniele Cesini

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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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Groundwater and soil moisture data collected in the coastal critical zone of the Delmarva Peninsula, United StatesCUAHSI Hydroshare by Dannielle Pratt, Rachel W. McQuiggan, Eva Snell Bacmeister, Amanda Sprague-Getsy, Holly A. Michael

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Fundamentals and Applications of Comparative Innovative Trend Analysis by Yavuz Selim Güçlü

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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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Robust Identification of Vegetation Change Using Shapelet-Based Temporal Segmentation of Landsat Time-Series Stacks: A Case Study in the Qilian Mountains by Lipeng Jiao, Randolph H. Wynne

Subjects: “…Landsat time series…”
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Structuring ampelographic collections by phenotypic characteristics and comparing the reaction of grape varieties to climate change by L. Yu. Novikova, L. G. Naumova

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Prescriptive temporal modeling approach using climate variables to forecast dengue incidence in Córdoba, Colombia by Ever Medina, Myladis R Cogollo, Gilberto González-Parra

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Empirical research on the evolution trend of heat and sentiment for emergencies by Shihong Wu, Wei Yu, Yanxia Zhao, Hongyan Li, Jiatong Wang, Weiyan Yang, Yue Lin

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