Works matching Time Series

Results: 5000

Traffic Flow Prediction Model Based on Multivariate Time Series and Pattern Mining in Terminal Area.

Published in:

Transactions of Nanjing University of Aeronautics & Astronautics, 2023, v. 40, n. 5, p. 595, doi. 10.16356/j.1005‑1120.2023.05.008

By:

ZHU Weiqi;
CHEN Haiyan;
LIU Li;
YUAN Ligang;
TIAN Wen

Publication type:

Article

Modeling psychotherapy process by time-series panel analysis (TSPA).

Published in:

Psychotherapy Research, 2009, v. 19, n. 4/5, p. 469, doi. 10.1080/10503300802654496

By:

Tschacher, Wolfgang;
Ramseyer, Fabian

Publication type:

Article

Individualized Time-Series Segmentation for Mining Mobile Phone User Behavior.

Published in:

Computer Journal, 2018, v. 61, n. 3, p. 349, doi. 10.1093/comjnl/bxx082

By:

SARKER, IQBAL H.;
COLMAN, ALAN;
KABIR, MUHAMMAD ASHAD;
HAN, JUN

Publication type:

Article

Predictive analytics beyond time series: Predicting series of events extracted from time series data.

Published in:

Wind Energy, 2022, v. 25, n. 9, p. 1596, doi. 10.1002/we.2760

By:

Mishra, Sambeet;
Bordin, Chiara;
Taharaguchi, Kota;
Purkayastha, Adri

Publication type:

Article

Solar Flare Prediction Using Multivariate Time Series of Photospheric Magnetic Field Parameters: A Comparative Analysis of Vector, Time Series, and Graph Data Representations.

Published in:

Remote Sensing, 2025, v. 17, n. 6, p. 1075, doi. 10.3390/rs17061075

By:

Vural, Onur;
Hamdi, Shah Muhammad;
Boubrahimi, Soukaina Filali

Publication type:

Article

Comparison of Harmonic Analysis of Time Series (HANTS) and Multi-Singular Spectrum Analysis (M-SSA) in Reconstruction of Long-Gap Missing Data in NDVI Time Series.

Published in:

Remote Sensing, 2020, v. 12, n. 17, p. 2747, doi. 10.3390/rs12172747

By:

Ghafarian Malamiri, Hamid Reza;
Zare, Hadi;
Rousta, Iman;
Olafsson, Haraldur;
Izquierdo Verdiguier, Emma;
Zhang, Hao;
Mushore, Terence Darlington

Publication type:

Article

Time series classification based on triadic time series motifs.

Published in:

International Journal of Modern Physics B: Condensed Matter Physics; Statistical Physics; Applied Physics, 2019, v. 33, n. 21, p. N.PAG, doi. 10.1142/S0217979219502370

By:

Xie, Wen-Jie;
Han, Rui-Qi;
Zhou, Wei-Xing

Publication type:

Article

基于 TICC 的建筑用电时间序列自适应季节性分割方法.

Published in:

Science Technology & Engineering, 2025, v. 25, n. 11, p. 4689, doi. 10.12404/j.issn.1671-1815.2403932

By:

朱磊;
周璇;
陈城;
何敏;
闫军威

Publication type:

Article

基于强化学习的多变量时序数据缺失值补全方法.

Published in:

China Sciencepaper, 2023, v. 18, n. 11, p. 1205

By:

陈俊扬;
戴志江;
李雪亮;
李子健;
唐显彬;
万昌;
许铮锌;
巩志国

Publication type:

Article

Assessment of long-term coordinate time series using hydrostatic-season-time model for rock-fill embankment dam.

Published in:

Structural Control & Health Monitoring, 2017, v. 24, n. 1, p. n/a, doi. 10.1002/stc.1859

By:

Gamse, Sonja;
Oberguggenberger, Michael

Publication type:

Article

Fuzzy Time Series Untuk Prediksi Harga Gabah Kering Panen.

Published in:

Techno.com, 2023, v. 22, n. 2, p. 430, doi. 10.33633/tc.v22i2.7956

By:

Siswanti, Sri;
Nugroho, Agus;
Widada, Bebas;
Kusumaningrum, Andriani

Publication type:

Article

Time Series and Non-Time Series Models of Earthquake Prediction Based on AETA Data: 16-Week Real Case Study.

Published in:

Applied Sciences (2076-3417), 2022, v. 12, n. 17, p. 8536, doi. 10.3390/app12178536

By:

Wang, Chenyang;
Li, Chaorun;
Yong, Shanshan;
Wang, Xin'an;
Yang, Chao

Publication type:

Article

基于双模型并联的复杂时序预测方法.

Published in:

Journal of Shenzhen University Science & Engineering, 2025, v. 42, n. 3, p. 334, doi. 10.3724/SP.J.1249.2025.03334

By:

郑洪英;
夏林中;
刘星

Publication type:

Article

改进的启发式分割算法在GNSS 坐标时间序列阶跃探测中的应用.

Published in:

Geomatics & Information Science of Wuhan University, 2019, v. 44, n. 5, p. 648, doi. 10.13203/j.whugis20170322

By:

姚宜斌;
冉启顺;
张豹

Publication type:

Article

An embedding-based non-stationary fuzzy time series method for multiple output high-dimensional multivariate time series forecasting in IoT applications.

Published in:

Neural Computing & Applications, 2023, v. 35, n. 13, p. 9407, doi. 10.1007/s00521-022-08120-5

By:

Bitencourt, Hugo Vinicius;
Orang, Omid;
de Souza, Luiz Augusto Facury;
Silva, Petrônio C. L.;
Guimarães, Frederico Gadelha

Publication type:

Article

Forecasting Chaotic Time Series Via Anfis Supported by Vortex Optimization Algorithm: Applications on Electroencephalogram Time Series.

Published in:

Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2017, v. 42, n. 8, p. 3103, doi. 10.1007/s13369-016-2279-z

By:

Kose, Utku;
Arslan, Ahmet

Publication type:

Article

Positive time series regression models: theoretical and computational aspects: Positive time series regression models...: T.S. Prass et al.

Published in:

Computational Statistics, 2025, v. 40, n. 3, p. 1185, doi. 10.1007/s00180-024-01531-z

By:

Prass, Taiane Schaedler;
Pumi, Guilherme;
Taufemback, Cleiton Guollo;
Carlos, Jonas Hendler

Publication type:

Article

catch22: CAnonical Time-series CHaracteristics: Selected through highly comparative time-series analysis.

Published in:

Data Mining & Knowledge Discovery, 2019, v. 33, n. 6, p. 1821, doi. 10.1007/s10618-019-00647-x

By:

Lubba, Carl H.;
Sethi, Sarab S.;
Knaute, Philip;
Schultz, Simon R.;
Fulcher, Ben D.;
Jones, Nick S.

Publication type:

Article

Temperature Time Series Prediction Model Based on Time Series Decomposition and Bi-LSTM Network.

Published in:

Mathematics (2227-7390), 2023, v. 11, n. 9, p. 2060, doi. 10.3390/math11092060

By:

Zhang, Kun;
Huo, Xing;
Shao, Kun

Publication type:

Article

MODELOWANIE SERII CZASOWYCH PRZEPŁYWÓW W KRÓTKOTERMINOWEJ PROGNOZIE HYDROLOGICZNEJ.

Published in:

Acta Scientiarum Polonorum. Formatio Circumiectus, 2020, v. 19, n. 3, p. 3

By:

Siuta, Tomasz

Publication type:

Article

基于双极化时序InSAR技术的地表形变监测 .

Published in:

Journal of Guangdong University of Technology, 2022, v. 39, n. 3, p. 77, doi. 10.12052/gdutxb.210084

By:

陈佳炜;
吴希文;
王华;
陈炳杰

Publication type:

Article

The Performance of Distances Between Time Series: An In‐Depth Comparison.

Published in:

Expert Systems, 2025, v. 42, n. 8, p. 1, doi. 10.1111/exsy.70093

By:

Cardoso, Margarida G. M. S.;
Martins, Ana A.

Publication type:

Article

Simplified Graph Convolution based Anomaly Detection for Multivariate Time Series.

Published in:

International Journal of Contents, 2025, v. 21, n. 2, p. 16, doi. 10.5392/IJoC.2025.21.2.016

By:

Kewei Hu;
He Li

Publication type:

Article

Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling.

Published in:

Stats, 2025, v. 8, n. 2, p. 36, doi. 10.3390/stats8020036

By:

Skamnia, Ekaterini;
Bekri, Eleni S.;
Economou, Polychronis

Publication type:

Article

ADTime: Adaptive Multivariate Time Series Forecasting Using LLMs.

Published in:

Machine Learning & Knowledge Extraction, 2025, v. 7, n. 2, p. 35, doi. 10.3390/make7020035

By:

Pei, Jinglei;
Zhang, Yang;
Liu, Ting;
Yang, Jingbin;
Wu, Qinghua;
Qin, Kang

Publication type:

Article

HEURISTIC BIVARIATE FORECASTING MODEL OF MULTI-ATTRIBUTE FUZZY TIME SERIES BASED ON FUZZY CLUSTERING.

Published in:

International Journal of Information Technology & Decision Making, 2012, v. 11, n. 1, p. 167, doi. 10.1142/S0219622012500083

By:

NAN, GUOFANG;
ZHOU, SHUAIYIN;
KOU, JISONG;
LI, MINQIANG

Publication type:

Article

Clustering Nonlinear, Nonstationary Time Series Using BSLEX.

Published in:

Methodology & Computing in Applied Probability, 2017, v. 19, n. 3, p. 935, doi. 10.1007/s11009-016-9528-1

By:

Harvill, Jane;
Kohli, Priya;
Ravishanker, Nalini

Publication type:

Article

Wind speed forecasting using univariate and multivariate time series models: Wind speed forecasting using univariate and multivariate time series...: B. Taoussi et al.

Published in:

Stochastic Environmental Research & Risk Assessment, 2025, v. 39, n. 2, p. 547, doi. 10.1007/s00477-024-02881-2

By:

Taoussi, Brahim;
Boudia, Sidi Mohammed;
Mazouni, Fares Sofiane

Publication type:

Article

A full ARMA model for counts with bounded support and its application to rainy-days time series.

Published in:

Stochastic Environmental Research & Risk Assessment, 2018, v. 32, n. 9, p. 2495, doi. 10.1007/s00477-018-1584-3

By:

Gouveia, Sónia;
Möller, Tobias A.;
Weiß, Christian H.;
Scotto, Manuel G.

Publication type:

Article

A Machine-Learning Framework for Modeling and Predicting Monthly Streamflow Time Series.

Published in:

Hydrology (2306-5338), 2023, v. 10, n. 4, p. 95, doi. 10.3390/hydrology10040095

By:

Dastour, Hatef;
Hassan, Quazi K.

Publication type:

Article

Bayesian Forecasting for Seemingly Unrelated Time Series: Application to Local Government Revenue Forecasting.

Published in:

Management Science, 1993, v. 39, n. 3, p. 275, doi. 10.1287/mnsc.39.3.275

By:

Duncan, George;
Gorr, Wilpen;
Szczypula, Janusz

Publication type:

Article

A BIVARIATE FIRST-ORDER AUTOREGRESSIVE TIME SERIES MODEL IN EXPONENTIAL VARIABLES.

Published in:

Management Science, 1989, v. 35, n. 10, p. 1236, doi. 10.1287/mnsc.35.10.1236

By:

Dewald, Lee S.;
Lewis, Peter A. W.;
McKenzie, Ed

Publication type:

Article

基于时间序列的无线传感网络节点剩余能量监测方法.

Published in:

Journal of Test & Measurement Technology, 2023, v. 37, n. 5, p. 394, doi. 10.3969/j.issn.1671-7449.2023.05.005

By:

唐艳娜;
于爱华;
孙桂萍

Publication type:

Article

一种基于两级缓存的高效时序数据库系统.

Published in:

Journal of Test & Measurement Technology, 2022, v. 36, n. 2, p. 147, doi. 10.3969/j.issn.1671-7449.2022.02.010

By:

郭亮亮;
靳燕;
杨博;
彭甫镕

Publication type:

Article

Point and probabilistic forecast reconciliation for general linearly constrained multiple time series.

Published in:

Statistical Methods & Applications, 2024, v. 33, n. 2, p. 581, doi. 10.1007/s10260-023-00738-6

By:

Girolimetto, Daniele;
Di Fonzo, Tommaso

Publication type:

Article

Entropy-Based Tests for Complex Dependence in Economic and Financial Time Series with the R Package tseriesEntropy.

Published in:

Mathematics (2227-7390), 2023, v. 11, n. 3, p. 757, doi. 10.3390/math11030757

By:

Giannerini, Simone;
Goracci, Greta

Publication type:

Article

Electrocardiogram Signal Classification Based on Mix Time-Series Imaging.

Published in:

Electronics (2079-9292), 2022, v. 11, n. 13, p. N.PAG, doi. 10.3390/electronics11131991

By:

Cai, Hao;
Xu, Lingling;
Xu, Jianlong;
Xiong, Zhi;
Zhu, Changsheng

Publication type:

Article

Forecasting performance of machine learning, time series, and hybrid methods for low‐ and high‐frequency time series.

Published in:

Statistica Neerlandica, 2024, v. 78, n. 2, p. 441, doi. 10.1111/stan.12326

By:

Ozdemir, Ozancan;
Yozgatligil, Ceylan

Publication type:

Article

A New Time-Series Classification Approach for Human Activity Recognition with Data Augmentation.

Published in:

International Journal of Advanced Computer Science & Applications, 2024, v. 15, n. 3, p. 933, doi. 10.14569/ijacsa.2024.0150393

By:

Errafik, Youssef;
Dhassi, Younes;
Kenzi, Adil

Publication type:

Article

HiSTENet: History-Integrated Spatial–Temporal Information Extraction Network for Time Series Remote Sensing Image Change Detection.

Published in:

Remote Sensing, 2025, v. 17, n. 5, p. 792, doi. 10.3390/rs17050792

By:

Zhao, Lu;
Wan, Ling;
Ma, Lei;
Zhang, Yiming

Publication type:

Article

A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction.

Published in:

Remote Sensing, 2022, v. 14, n. 9, p. 2280, doi. 10.3390/rs14092280

By:

Zhang, Yangjian;
Wang, Li;
He, Yuanhuizi;
Huang, Ni;
Li, Wang;
Xu, Shiguang;
Zhou, Quan;
Song, Wanjuan;
Duan, Wensheng;
Wang, Xiaoyue;
Muhammad, Shakir;
Nath, Biswajit;
Zhu, Luying;
Tang, Feng;
Du, Huilin;
Wang, Lei;
Niu, Zheng

Publication type:

Article

Optimal Estimate of Global Biome—Specific Parameter Settings to Reconstruct NDVI Time Series with the Harmonic ANalysis of Time Series (HANTS) Method.

Published in:

Remote Sensing, 2021, v. 13, n. 21, p. 4251, doi. 10.3390/rs13214251

By:

Zhou, Jie;
Jia, Li;
Menenti, Massimo;
Liu, Xuan

Publication type:

Article

Long Time Series High-Quality and High-Consistency Land Cover Mapping Based on Machine Learning Method at Heihe River Basin.

Published in:

Remote Sensing, 2021, v. 13, n. 8, p. 1596, doi. 10.3390/rs13081596

By:

Zhong, Bo;
Yang, Aixia;
Jue, Kunsheng;
Wu, Junjun;
Jeon, Gwanggil

Publication type:

Article

Gap Filling for Historical Landsat NDVI Time Series by Integrating Climate Data.

Published in:

Remote Sensing, 2021, v. 13, n. 3, p. 484, doi. 10.3390/rs13030484

By:

Yu, Wentao;
Li, Jing;
Liu, Qinhuo;
Zhao, Jing;
Dong, Yadong;
Zhu, Xinran;
Lin, Shangrong;
Zhang, Hu;
Zhang, Zhaoxing;
Atzberger, Clement

Publication type:

Article

A New Method for Automated Clearcut Disturbance Detection in Mediterranean Coppice Forests Using Landsat Time Series.

Published in:

Remote Sensing, 2020, v. 12, n. 22, p. 3720, doi. 10.3390/rs12223720

By:

Giannetti, Francesca;
Pegna, Raffaello;
Francini, Saverio;
McRoberts, Ronald E.;
Travaglini, Davide;
Marchetti, Marco;
Scarascia Mugnozza, Giuseppe;
Chirici, Gherardo

Publication type:

Article

Using Growing-Season Time Series Coherence for Improved Peatland Mapping: Comparing the Contributions of Sentinel-1 and RADARSAT-2 Coherence in Full and Partial Time Series.

Published in:

Remote Sensing, 2020, v. 12, n. 15, p. 2465, doi. 10.3390/rs12152465

By:

Millard, Koreen;
Kirby, Patrick;
Nandlall, Sacha;
Behnamian, Amir;
Banks, Sarah;
Pacini, Fabrizio

Publication type:

Article

Econometric Modeling of GDP Time Series.

Published in:

Theoretical & Applied Economics, 2011, v. 18, n. 10, p. 91

By:

Andrei, Elena-Adriana;
Bugudui, Elena

Publication type:

Article

Wavelet-based self-organizing maps for classifying multivariate time series.

Published in:

Journal of Chemometrics, 2014, v. 28, n. 1, p. 28, doi. 10.1002/cem.2565

By:

D'Urso, Pierpaolo;
De Giovanni, Livia;
Maharaj, Elizabeth Ann;
Massari, Riccardo

Publication type:

Article

Cyclic clustering approach to impute missing values for cyclostationary hydrological time series.

Published in:

Quality & Quantity, 2023, v. 57, n. 3, p. 2619, doi. 10.1007/s11135-022-01484-9

By:

Mahmoudi, Mohammad Reza

Publication type:

Article

Artificial neural networks and fuzzy time series forecasting: an application to air quality.

Published in:

Quality & Quantity, 2015, v. 49, n. 6, p. 2633, doi. 10.1007/s11135-014-0132-6

By:

Rahman, Nur;
Lee, Muhammad;
Suhartono;
Latif, Mohd

Publication type:

Article