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81
River Flow Estimation from Upstream Flow Records Using Support Vector Machines
Published 2014-01-01“…The results show that the proposed architecture improves the model performance under noisy and missing data conditions and that support vector machines can be powerful alternative in flood routing modeling.…”
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82
Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing
Published 2025-04-01“…Experiments conducted on the NASA Turbofan Engine Degradation and UCI Hydraulic Systems datasets demonstrate that BD-IoTQNet outperforms existing models in accuracy, precision, and data quality improvement, with reduced latency and enhanced robustness under noisy and missing data conditions. An ablation study validates the critical role of each component, showing significant performance drops when modules like DQM or blockchain are excluded. …”
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83
Proposition d’une démarche commune pour la sélection de variations asymptomatiques osseuses et dentaires répétables et reproductibles en anthropologie biologique
Published 2023-04-01“…The quality of agreement was established according to the Fleiss et al. scale (2003). Although missing data were a hindrance in this study, several proposals were made to overcome the problem. …”
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84
Later-Life Mortality and Longevity in Late-18th and 19th-Century Cohorts. Where Are We Now, and Where Are We Heading?
Published 2017-01-01“…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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85
Spatial Multiple Description Coding for Scalable Video Streams
Published 2014-01-01“…Classical multiple description methods interpolate the missing data which results in smoothing and artifact at object boundaries. …”
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86
Spatial clustering of seasonal sea ice of Hudson Bay, Canada, 1971–2018
Published 2024-12-01“…The greatest variability occurred with the central sea-ice platform likely the response to only subtle variations among these locations, leading to varying clusters. Missing data especially with freeze-up and ice-free season played a role in the clustering.…”
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87
Later-Life Mortality and Longevity in Late-18th and 19th-Century Cohorts. Where Are We Now, and Where Are We Heading?
Published 2017-01-01“…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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88
Students’ Online Learning Adoption during an Emergency Situation: Integrating the Self-Determination and Perceived Risk Theories
Published 2023-01-01“…A printed questionnaire was developed to collect data from 487 Vietnamese students using a quota sampling method. After missing data and outliers were removed, 450 questionnaires were found to be usable for data analysis. …”
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89
A systematic review of machine learning applications in predicting opioid associated adverse events
Published 2025-01-01“…Transparent reporting of model development was often incomplete, with key aspects such as calibration, imbalance correction, and handling of missing data absent. Infrequent external validation limited the generalizability of current models. …”
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90
Protocol for generating protein profiles and distance-based network analysis of murine tissue slices
Published 2025-03-01“…We detail procedures for scanning longitudinal protein profiles and replacing missing data using a sliding window approach. This protocol has potential for applications in spatial proteomics to other tissues with asymmetric patterns such as the brain and heart tissue.For complete details on the use and execution of this protocol, please refer to Schmidt et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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91
Later-Life Mortality and Longevity in Late-18th and 19th-Century Cohorts. Where Are We Now, and Where Are We Heading?
Published 2017-01-01“…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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92
Drought Analysis in the Asi Basin (Turkey)
Published 2019-01-01“…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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93
An Imputation Method for Missing Traffic Data Based on FCM Optimized by PSO-SVR
Published 2018-01-01“…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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94
Solving the incomplete data problem in Greco-Latin square experimental design by exact-scheme analysis of variance without data imputation
Published 2024-11-01“…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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95
Later-Life Mortality and Longevity in Late-18th and 19th-Century Cohorts. Where Are We Now, and Where Are We Heading?
Published 2017-02-01“…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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96
Analysis of Cone-Beam Artifacts in off-Centered Circular CT for Four Reconstruction Methods
Published 2006-01-01“…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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97
Temporal and Spatial Distribution Characteristics of NOx Emissions of City Buses on Real Road Based on Spatial Autocorrelation
Published 2021-02-01“…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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98
Robust sparse time‐frequency analysis for data missing scenarios
Published 2023-01-01“…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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99
Graph-based two-level indicator system construction method for smart city information security risk assessment
Published 2024-08-01“…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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100
Household energy conservation behaviour: A socio-economic perspective
Published 2023-06-01“…In addition, the use of secondary data from developing countries are not without their inadequacies due to missing data points. However, generating data may lead to over or under estimations which led to this study deploying structural equation model and making use of cross-sectional data from a developing country perspective. …”
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