Drought Analysis in the Asi Basin (Turkey) by Mehmet Dikici

“…First of all, meteorology and flow observation stations in the basin were determined to be suitable ones and the missing data were completed by methods appropriate to the literature. …”
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An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR by Qiang Shang, Zhaosheng Yang, Song Gao, Derong Tan

“…However, it ignores an important fact that spatial-temporal information of the traffic missing data is often incomplete and unavailable. Moreover, most of the existing methods are verified by traffic data from freeway, and their applicability to urban road data needs to be further verified. …”
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Solving the incomplete data problem in Greco-Latin square experimental design by exact-scheme analysis of variance without data imputation by Kittiwat Sirikasemsuk, Sirilak Wongsriya, Kanogkan Leerojanaprapa

“…This comprehensive strategy not only enhances the methodological accuracy and integrity of GLSED studies but also contributes significantly to the field by offering a solution to navigate the complexities of incomplete datasets without resorting to data imputation, thus improving the rigor and validity of experimental designs in the face of missing data challenges.…”
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Later-Life Mortality and Longevity in Late-18th and 19th-Century Cohorts. Where Are We Now, and Where Are We Heading? by Rick Mourist

“…However, in order to find out the determinants of later-life mortality, external validity of results, blind spots due to missing data, and familial clustering need to be studied more thoroughly.…”
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Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods by S. Valton, F. Peyrin, D. Sappey-Marinier

“…These artifacts result from the incompleteness of the source trajectory and the resulting missing data in the Radon space increasing with the distance to the plane containing the source orbit. …”
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Temporal and Spatial Distribution Characteristics of NOx Emissions of City Buses on Real Road Based on Spatial Autocorrelation by Qikai Peng, Jiaqiang Li, Yanyan Wang, Longqing Zhao, Jianwei Tan, Chao He

“…The results show that our method for filling in the missing data provides highly accurate values, with spatial autocorrelation indices of 0.648, 0.836, 0.935, and 0.798 for the morning, midday, afternoon, and evening, respectively. …”
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Robust sparse time‐frequency analysis for data missing scenarios by Yingpin Chen, Yuming Huang, Jianhua Song

“…However, when the signal is disturbed by unexpected data loss, STFA cannot distinguish effective signals from missing data interferences. To address this issue and establish a robust STFA model for time‐frequency analysis (TFA) in data loss scenarios, a stationary Framelet transform‐based morphological component analysis is introduced in the STFA. …”
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Graph-based two-level indicator system construction method for smart city information security risk assessment by Li Yang, Kai Zou, Yuxuan Zou

“…First, a random forest was used to extract the indicators' dependency graph from missing data. Then, spectral clustering was used to separate the graph and form a functional subgraph. …”
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An Efficient Estimation Method for Reducing the Axial Intensity Drop in Circular Cone-Beam CT by Lei Zhu, Jared Starman, Rebecca Fahrig

“…If the reconstruction algorithm assumes zeros for the missing data, such as the standard FDK algorithm, a major type of resulting CB artifacts is the intensity drop along the axial direction. …”
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Changes in Nutrition, Food Safety, and Physical Activity Behaviors: A Comparison Between the Peak Health and Performance and Teen Cuisine Curricula by Tyler B. Becker, Ronald J. Gibbs Jr.

“…Individual curriculum pre- and post-scores were compared using a paired t-test, and between-group changes were examined using a repeated-measures ANOVA. Missing data were excluded case-wise. The results showed that vegetable and fruit consumption significantly increased for both groups. …”
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Low-Complexity Timing Correction Methods for Heart Rate Estimation Using Remote Photoplethysmography by Chun-Chi Chen, Song-Xian Lin, Hyundoo Jeong

“…However, most HR estimation methods rely on stable, fixed sampling intervals, while practical image capture often involves irregular frame rates and missing data, leading to inaccuracies in HR measurements. …”
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Seasonality, Interannual Variability, and Linear Tendency of Wind Speeds in the Northeast Brazil from 1986 to 2011 by Alexandre Torres Silva dos Santos, Cláudio Moisés Santos e Silva

“…To this end, the following methods were used: filling of missing data, descriptive statistical calculations, boxplots, cluster analysis, and trend analysis using the Mann-Kendall statistical method. …”
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The PIT: SToPP Trial—A Feasibility Randomised Controlled Trial of Home-Based Physiotherapy for People with Parkinson's Disease Using Video-Based Measures to Preserve Assessor Blind... by Emma Stack, Helen Roberts, Ann Ashburn

“…Remote outcome measurement was successful; questionnaire followup and further training in video production would reduce missing data. We advocate a fully powered trial, designed to minimise dropouts and preserve assessor blinding, to evaluate this intervention.…”
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D-MGDCN-CLSTM: A Traffic Prediction Model Based on Multi-Graph Gated Convolution and Convolutional Long–Short-Term Memory by Linliang Zhang, Shuyun Xu, Shuo Li, Lihu Pan, Su Gong

“…The model uses the DTWN algorithm to fill in missing data. To better capture the dual characteristics of short-term fluctuations and long-term trends in traffic, the model employs the DWT for multi-scale decomposition to obtain approximation and detail coefficients. …”
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Advancements in Predictive Analytics: Machine Learning Approaches to Estimating Length of Stay and Mortality in Sepsis by Houssem Ben Khalfallah, Mariem Jelassi, Jacques Demongeot, Narjès Bellamine Ben Saoud

“…After rigorous preprocessing to address missing data and ensure consistency, multiple classifiers, including Random Forest, Extra Trees, and Gradient Boosting, were trained and validated. …”
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Differences in Sexual Function Between Trimesters During Pregnancy: An Observational Study by Sunullah Soysal, Abdullah Sarioz, Umran Kilincdemir Turgut, Gokce Anik Ilhan, Yusuf Arman, Begum Yildizhan, Tanju Pekin

“…Seventy-two of the women did not complete the questionnaire (rejections or missing data) and the overall response rate was 80.6%. …”
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A structural health monitoring data reconstruction method based on VMD and SSA-optimized GRU model by Xiaoliang Jia, Guoyan Zhang, Zhiqiang Wang, Huacong Li, Jing Hu, Songlin Zhu, Caiwei Liu

“…The data reconstruction method proposed in this study can accurately capture trends in missing data, without the need for manual hyperparameter tuning, and the reconstruction results are highly consistent with the real data.…”
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A Data Quality Control Program for Computer-Assisted Personal Interviews by Janet E. Squires, Alison M. Hutchinson, Anne-Marie Bostrom, Kelly Deis, Peter G. Norton, Greta G. Cummings, Carole A. Estabrooks

“…Data quality was assessed using both survey and process data. Missing data and data errors were minimal. Mean and median values and standard deviations were within acceptable limits. …”
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Association between chronic pain and physical activity in a Swiss population-based cohort: a cross-sectional study by Pedro Marques-Vidal, Peter Vollenweider, Oriane Aebischer, Marc René Suter

“…Participants were excluded if they had missing data for the pain or the PA questionnaires, for accelerometry (defined as >20% of non-wear time or duration <7 days) or for covariates.Primary outcomes Primary outcomes were association between chronic pain and previous, subjectively assessed PA (questionnaire), and subsequent, objectively assessed PA (accelerometry). …”
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Development and validation of machine-learning models for predicting the risk of hypertriglyceridemia in critically ill patients receiving propofol sedation using retrospective dat... by Jiawen Deng, Hemang Yadav, Kiyan Heybati

“…Data preprocessing steps include missing data imputation, feature scaling and dimensionality reduction techniques. …”
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