Anomaly Detection for Time Series with Difference Rate Sample Entropy and Generative Adversarial Networks by Keke Gao, Wenbin Feng, Xia Zhao, Chongchong Yu, Weijun Su, Yuqing Niu, Lu Han

“…The experiment compared the entropy results of different time series with the detection results of generative adversarial networks and automatic encoders and showed that the method proposed in this paper had relatively high detection accuracy.…”
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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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CAMELS-IND: hydrometeorological time series and catchment attributes for 228 catchments in Peninsular India by N. K. Mangukiya, K. B. Kumar, P. Dey, S. Sharma, V. Bejagam, P. P. Mujumdar, P. P. Mujumdar, A. Sharma, A. Sharma

“…<p><span id="page462"/>We introduce CAMELS-IND (Catchment Attributes and MEteorology for Large-sample Studies – India), a dataset containing hydrometeorological time series and catchment attributes for 472 catchments in Peninsular India, of which 228 catchments have observed streamflow data available for over 30 % of the period between 1980 to 2020. …”
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A Hybrid Algorithm for Clustering of Time Series Data Based on Affinity Search Technique by Saeed Aghabozorgi, Teh Ying Wah, Tutut Herawan, Hamid A. Jalab, Mohammad Amin Shaygan, Alireza Jalali

“…Time series clustering is an important solution to various problems in numerous fields of research, including business, medical science, and finance. …”
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Time-series forecasting of microbial fuel cell energy generation using deep learning by Adam Hess-Dunlop, Harshitha Kakani, Stephen Taylor, Dylan Louie, Jason Eshraghian, Colleen Josephson

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Cost-Sensitive Self-Paced Learning With Adaptive Regularization for Classification of Image Time Series by Hao Li, Jianzhao Li, Yue Zhao, Maoguo Gong, Yujing Zhang, Tongfei Liu

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Using a Novel Fractal-Time-Series Prediction Model to Predict Coal Consumption by Guodang Zhao, Xuyang Guo, Xin Wang, Dezhi Zheng

“…Hurst index is an important indicator of whether time-series data have long memory and fractal characteristics. …”
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Air pollution, temperature and mumps: A time-series study of independent and interaction effects by Haoyue Cao, Rongrong Xu, Xiqian Lu, Wenguo Jiang, Lihua Wang, Miao Yu, Wenjun Wang, Juxiang Yuan

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Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro. by Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona

“…To address this challenge, we here present two algorithms, the ZdensityRODE and the AMPDE, for identifying relevant events from LFPs by utilizing time series segmentation (TSS), which involves extracting different levels of information from the LFP and relevant events from it. …”
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Analysis of the Time Series Generated by a New High-Dimensional Discrete Chaotic System by Chuanfu Wang, Chunlei Fan, Kai Feng, Xin Huang, Qun Ding

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Long time-series and high-frequency ecological evaluation of Henan section of the Yellow River by Jianzhong Guo, Daozhu Xu, Jian Xu, Ruoxin Zhu, Ning Li

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Real-Time Detection of Application-Layer DDoS Attack Using Time Series Analysis by Tongguang Ni, Xiaoqing Gu, Hongyuan Wang, Yu Li

“…By approximating the adaptive autoregressive (AAR) model, the HRPI time series is transformed into a multidimensional vector series. …”
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Climate change and migration dynamics in Somalia: a time series analysis of environmental displacement by Abdikadir Ahmed Mohamed, Ibtisam Mohamed Omar, Abdi Majid Yusuf Ibey, Mahdi Mohamed Omar

“…This study investigates the relationship between climate variables—average annual precipitation, temperature, and CO₂ emissions—and net migration in Somalia, using time series data from 1990 to 2020. Additionally, it examines the role of population growth as a factor influencing migration. …”
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Perinatal midwifery care demand in a tertiary hospital: A time-series analysis by Luisa C. Eggenschwiler, Giusi Moffa, Valerie Smith, Michael Simon

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Decomposition-Aware Framework for Probabilistic and Flexible Time Series Forecasting in Aerospace Electronic Systems by Yuanhong Mao, Xin Hu, Yulang Xu, Yilin Zhang, Yunan Li, Zixiang Lu, Qiguang Miao

Subjects: “…multivariate time series forecasting…”
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Time Series Data Augmentation for Energy Consumption Data Based on Improved TimeGAN by Peihao Tang, Zhen Li, Xuanlin Wang, Xueping Liu, Peng Mou

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FoodMicroDB: A microbiome database for composition and time‐series research in food by Yahui Li, Hujie Lyu, Haifei Yang, Zhicheng Ju, Chuang Ma, Huiyu Hou, Yao Wang, Yuanping Zhou, Yunyun Gao, Junbo Yang, Shanshan Xu, Defeng Bai, Hao Luo, Salsabeel Yousuf, Tianyuan Zhang, Jiani Xun, Meiyin Zeng, Heyuan Qi, Tong Chen, Yong‐Xin Liu

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Explanatory LSTM-AE-Based Anomaly Detection for Time Series Data in Marine Transportation by Zhan Wang, Mwamba Kasongo Dahouda, Hyoseong Hwang, Inwhee Joe

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Developing a Pattern Discovery Method in Time Series Data and Its GPU Acceleration by Huanzhou Zhu, Zhuoer Gu, Haiming Zhao, Keyang Chen, Chang-Tsun Li, Ligang He

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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

Subjects: “…time series…”
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