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Multiscale Change Point Detection for Univariate Time Series Data with Missing Value
Published 2024-10-01“…This paper studies the autoregressive integrated moving average (ARIMA) state space model combined with Kalman smoothing to impute missing values in a univariate time series before detecting change points. …”
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Diversity of Drosophila egg patterning: The missing tools to explore embryonic axis formation
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APPLICATION OF YATES METHOD FOR MISSING DATA ESTIMATION IN YOUDEN SQUARE DESIGN AND ANALYSIS
Published 2024-10-01“…The Youden square design is widely used in experimental research to control two sources of variability, but missing data can compromise the results. Addressing missing data is critical to maintaining the integrity and reliability of such experiments. …”
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44
Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations
Published 2023-02-01“…The new methodology builds upon tidy data principles, with the goal of integrating missing value handling as a key part of data analysis workflows. …”
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An effective imputation approach for handling missing data using intuitionistic fuzzy clustering algorithms
Published 2025-07-01“…Abstract It is imperative to handle missing data attentively in the preprocessing stage as it may affects the integrity and quality of real-world datasets. …”
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46
Navigating the unstructured by evaluating alphafold's efficacy in predicting missing residues and structural disorder in proteins.
Published 2025-01-01“…Utilizing a comprehensive dataset from the Protein Data Bank (PDB), residues were categorized as "modeled", "hard missing" and "soft missing" based on their visibility in structural datasets. …”
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Behavior change, the missing link in noncommunicable disease prevention in India – A narrative review
Published 2025-04-01“…Critical analysis based on evidence revealed that behavior change is the essential element missing in the current NCD care, needing attention at both health system and individual levels, where the current focus is limited to creating awareness. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network
Published 2025-01-01“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Impact of missing electronic fetal monitoring signals on perinatal asphyxia: a multicohort analysis
Published 2025-05-01“…Risk of asphyxia increased with higher dropout (>37.45%, aOR 2.21 Australian dataset; >34.01%, aOR 4.08 Czech dataset). Integrating measures of missing valid signals into fetal monitoring algorithms may improve decision-making and neonatal outcomes.…”
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50
What is missing in metacognitive instruction: A closer look at Indonesian English Education Research
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51
The missing link: Predicting connectomes from noisy and partially observed tract tracing data.
Published 2017-01-01Get full text
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52
On the Ontology and Semantics of Absence
Published 2024-12-01“… This paper gives a semantic analysis of 'completion-related verbs of absence' such as 'lack' and 'be missing' in English. The analysis is based on the notion of a conceptual (integrated or ideal) whole, the notion of a variable object and its variable parts, and an ontology of 'lacks' as entities whose satisfaction involves parts. …”
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Problems with Missing Tricomi Condition and Analog of Frankl Condition for One Class of Mixed Type Equations
Published 2025-06-01“…Through successive applications of the theory of singular integral equations and then the Wiener–Hopf equation theory, the non-standard singular Tricomi integral equation is reduced to a Fredholm integral equation of the second kind, the unique solvability of which follows from the uniqueness theorem for the problem.…”
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Predicting Missing Values in Survey Data Using Prompt Engineering for Addressing Item Non-Response
Published 2024-09-01“…Traditional methods for addressing missing data, such as statistical imputation techniques and deep learning models, often fall short when dealing with the rich linguistic content of survey data. …”
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55
Diabetes is the missing link between cardiometabolic index and gallstones: a large cross-sectional study
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56
Women’s health and maternal care services: seizing missed opportunities to prevent and manage preterm birth
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57
A Data Imputation Approach for Missing Power Consumption Measurements in Water-Cooled Centrifugal Chillers
Published 2025-05-01“…To address this issue, it is necessary to either minimize missing occurrences by utilizing high-precision measurement equipment or apply reliable imputation techniques to compensate for missing values. …”
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Missed opportunities for HIV control: Gaps in HIV testing for partners of people living with HIV in Lima, Peru.
Published 2017-01-01“…<h4>Conclusion</h4>In this setting, HIV testing of partners of PLWH was suboptimal, illustrating missed opportunities for HIV control. Integration of HIV strategies in primarily clinical-oriented services is a challenging need.…”
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Reducing missed opportunities for vaccination in Mozambique: findings from a cross-sectional assessment conducted in 2017
Published 2021-12-01“…Objective Missed opportunities for vaccination (MOV) are a significant contributor to low vaccination coverage. …”
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