Comparison of Weighted Lag Adaptive LASSO with Autometrics for Covariate Selection and Forecasting Using Time-Series Data by Sara Muhammadullah, Amena Urooj, Faridoon Khan, Mohammed N Alshahrani, Mohammed Alqawba, Sanaa Al-Marzouki

“…In order to reduce the dimensionality of parameter space and enhance out-of-sample forecasting performance, this research compares regularization techniques with Autometrics in time-series modeling. We mainly focus on comparing weighted lag adaptive LASSO (WLAdaLASSO) with Autometrics, but as a benchmark, we estimate other popular regularization methods LASSO, AdaLASSO, SCAD, and MCP. …”
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Local-Global and Multi-Scale (LG-MS) Mixer Architecture for Long-Term Time Series Forecasting by Zhennan Peng, Boyong Gao, Ziqi Xia, Jie Liu

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Time-Series Image-Based Automated Monitoring Framework for Visible Facilities: Focusing on Installation and Retention Period by Seonjun Yoon, Hyunsoo Kim

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The Time-Series Production Simulation in Cost Management of New Energy Grid Connection Under the Internet of Things by Shurui Wang

Subjects: “…Time-series production simulation…”
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High-Precision prediction of curling trajectory multivariate time series using the novel CasLSTM approach by Yanan Guo, Jing Jin, Hongyang Zhao, Yu Jiang, Dandan Li, Yi Shen

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Atmospheric PM2.5 Concentration Prediction Based on Time Series and Interactive Multiple Model Approach by Jihan Li, Xiaoli Li, Kang Wang

“…In the paper, three PM2.5 time series models are established for three different air quality levels. …”
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IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers by Einari Vaaras, Manu Airaksinen, Okko Rasanen

“…Unlike most existing label refinement approaches, IAR 2.0 offers a simpler yet effective solution for resolving ambiguities in training labels, working with real label noise on time-series data instead of synthetic label noise on image data. …”
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Predicting the Direction Movement of Financial Time Series Using Artificial Neural Network and Support Vector Machine by Muhammad Ali, Dost Muhammad Khan, Muhammad Aamir, Amjad Ali, Zubair Ahmad

“…Prediction of financial time series such as stock and stock indexes has remained the main focus of researchers because of its composite nature and instability in almost all of the developing and advanced countries. …”
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Implementasi High Order Intuitionistic Fuzzy Time Series Pada Peramalan Indeks Harga Saham Gabungan by Titis Jati Nugraha, Winita Sulandari, Isnandar Slamet, Sri Subanti, Etik Zukhronah, Sugianto Sugianto, Irwan Susanto

“…Penelitian ini membahas penerapan metode High Order Intuitionistic Fuzzy Time Series (HOIFTS) dalam peramalan IHSG di BEI. Metode HOIFTS melibatkan tiga indikator, yaitu derajat keanggotaan, derajat non- keanggotaan, dan fungsi skor (indeks intutionistic) sehingga model yang dihasilkan mampu menangani ketidakpastian dalam data. …”
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Time-Series Change Detection Using KOMPSAT-5 Data with Statistical Homogeneous Pixel Selection Algorithm by Mirza Muhammad Waqar, Heein Yang, Rahmi Sukmawati, Sung-Ho Chae, Kwan-Young Oh

“…For change detection in synthetic aperture radar (SAR) imagery, amplitude change detection (ACD) and coherent change detection (CCD) are widely employed. However, time-series SAR data often contain noise and variability introduced by system and environmental factors, requiring mitigation. …”
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Retracted: Psychometric Model of College Students Based on Time Series Analysis and Its Application in Educational Management by Occupational Therapy International

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RAEF: An Imputation Framework Based on a Gated Regulator Autoencoder for Incomplete IIoT Time-Series Data by Jianyong Zhao, Jiachen Qiu, Danfeng Sun, Baiping Chen

“…The number of intelligent applications available for IIoT environments is growing, but when the time-series data these applications rely on are incomplete, their performance suffers. …”
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Nonlinear time series prediction algorithm based on AD-SSNET for artificial intelligence–powered Internet of Things by Banteng Liu, Wei Chen, Meng Han, Zhangquan Wang, Ping Sun, Xiaowen Lv, Jiaming Xu, Zegao Yin

“…Time series have broad usage in the wireless Internet of Things. …”
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Temperature, violent crime, climate change, and vulnerability factors in 44 United States cities by Seulkee Heo, Hayon Michelle Choi, Jesse D. Berman, Michelle L. Bell

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Unfolding the potential of the ARIMA model in forecasting maize production in Tanzania by Joseph Lwaho, Bahati Ilembo

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A method for detection of repetitive local effects (RLEs) in discrete recursive processes by E. Kelman, M. Shoshany

Subjects: “…Discrete time series; Filtering; Patterns recognition.…”
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Efficient Computation of Multiscale Entropy over Short Biomedical Time Series Based on Linear State-Space Models by Luca Faes, Alberto Porta, Michal Javorka, Giandomenico Nollo

“…The most common approach to assess the dynamical complexity of a time series across multiple temporal scales makes use of the multiscale entropy (MSE) and refined MSE (RMSE) measures. …”
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Temporal relationship between hospital admissions for pneumonia and weather conditions in Shanghai, China: a time-series analysis by Yuan Liu, David Rogers, Yue Zhang, Haidong Kan, Weibing Wang, Jianming Xu, Renjie Chen, Xiaofang Ye, Li Peng

“…Objectives To explore the association between weather conditions and hospital admissions for pneumonia in Shanghai.Design A time-series analysis was performed for a period of 4 years (January 2008–December 2011). …”
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Correction: A prediction approach to COVID-19 time series with LSTM integrated attention mechanism and transfer learning by Bin Hu, Yaohui Han, Wenhui Zhang, Qingyang Zhang, Wen Gu, Jun Bi, Bi Chen, Lishun Xiao

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A novel hybrid CLARA and fuzzy time series Markov chain model for predicting air pollution in Jakarta by Nurtiti Sunusi, Ankaz As Sikib, Sumanta Pasari

Subjects: “…Hybrid Clustering Large Applications and Fuzzy Time Series Markov Chain…”
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