Development of Departmental Statistical Accounting of the Federal Penitentiary Service in the Conditions of Digital Transformation by O. V. Soboleva

“…Accounting is based on the primary missing link, which creates the prerequisites for reliable statistics. …”
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A multi-label classification method for disposing incomplete labeled data and label relevance by Lina ZHANG, Lingpeng DAI, Tai KUANG

“…Multi-label classification methods have been applied in many real-world fields，in which the labels may have strong relevance and some of them even are incomplete or missing.However，existing multi-label classification algorithms are unable to handle both issues simultaneously.A new probabilistic model that can automatically learn and exploit multi-label relevance was proposed on label relevance and missing label classification simultaneously.By integrating out the missing information，it also provides a disciplined approach to handle missing labels.Experiments on a number of real world data sets with both complete and incomplete labels demonstrated that the proposed method can achieve higher classification and prediction evaluation scores than the existing multi-label classification algorithms.…”
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Spatial parameters for transportation: A multi-modal approach for modelling the urban spatial structure using deep learning and remote sensing by Dorothee Stiller, Michael Wurm, Thomas Stark, Pablo d'Angelo, Karsten Stebner, Stefan Dech, Hannes Taubenböck

“…In this study, we explore remote sensing and open geo-data as alternative sources to generate missing data for transportation models in urban planning and research. …”
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Soft detection model of corrosion leakage risk based on KNN and random forest algorithms by Yang YANG, Chengzhi LI, Xuan DU, Xiao YU, Shaohua DONG

“…Objective The integrity management of urban gas pipeline networks demands effective risk assessment methods. …”
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Impact of enhanced pain knowledge on core outcomes in fibromyalgia patients with high self-reported pain education needs: a target trial emulation using the DANFIB registry by Robin Christensen, Marius Henriksen, Eva Ejlersen Wæhrens, Kirstine Amris, Pernille Hurup Duhn

“…The intention-to-treat from population included 121 participants (26.9%) with a good educational outcome and 329 participants (73.1%) with a poor educational outcome (comparator group). Missing outcome data were handled implicitly by the repeated measures linear mixed models, assuming data are missing at random.At the 9-month endpoint, the fully adjusted FIQR impact subscale score was lower in the good educational outcome group (8.0 (95% CI 7.3 to 8.7)) compared with the poor educational outcome group (9.6 (95% CI 9.0 to 10.2)), indicating a better clinical outcome for those with a good educational outcome. …”
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Air Quality Prediction Model for Monitoring AQI by Das Aritra, Gupta Himanshu

“…The study also discusses real-time applications, integration with additional data sources, and future research directions in AQI forecasting, aiming to support dynamic and accurate environmental monitoring systems.…”
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Prediction of Financial Distress in Retail Companies Using Long-Short Term Memory (LSTM) by Wahyuni Windasari, Tuti Zakiyah

“…The integration of SMOTE contributed to enhanced detection of the minority class; however, it was accompanied by a slight reduction in overall predictive accuracy. …”
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Representing Arab-Indonesian identity: Language and cultural narratives on social media by Pujiati Pujiati, Adri Lundeto, Ikmal Trianto

“…Social media enables Arab-Indonesians to navigate cultural hybridity, balancing the preservation of Arabic traditions with integration into Indonesian contexts. These platforms also provide opportunities to challenge stereotypes, share positive narratives, and enhance cultural visibility. …”
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CFSAN SNP Pipeline 2 (CSP2): a pipeline for fast and accurate SNP distance estimation from bacterial genome assemblies by Robert Literman, Jayanthi Gangiredla, Hugh Rand, James B. Pettengill

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Interpretable Machine Learning for Multi-Crop Yield Prediction in Semi-Arid Regions: A Hierarchical Approach to Handle Climate Data Sparsity by Rachid Ed-daoudi, M’barek El Haloui

“…Keywords: Hierarchical machine learning, agricultural yield prediction, multi-crop systems, shap interpretability, missing meteorological data.…”
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The Improved MNSPI Method for MODIS Surface Reflectance Data Small-Area Restoration by Meixiang Wang, Wenjuan Zhang, Bowen Wang, Xuesong Ma, Peng Qi, Zixiang Zhou

“…Currently, most missing data restoration methods are designed for medium-resolution data. …”
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Inlay-Retained Fixed Dental Prosthesis: A Clinical Option Using Monolithic Zirconia by Davide Augusti, Gabriele Augusti, Andrea Borgonovo, Massimo Amato, Dino Re

“…Different indirect restorations to replace a single missing tooth in the posterior region are available in dentistry: traditional full-coverage fixed dental prostheses (FDPs), implant-supported crowns (ISC), and inlay-retained FDPs (IRFDP). …”
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Research Data Governance. The Need for a System of Cross-organisational Responsibility for the Researcher’s Data Domain by Carolin Odebrecht

“…The integration of research data management into academic workflows presents significant challenges for researchers, resulting in fragmented responsibility and accountability. …”
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Exploration of Generative Neural Networks for Police Facial Sketches by Nerea Sádaba-Campo, Hilario Gómez-Moreno

“…The article concludes that these technologies have the potential to automate the composite sketch creation process. Therefore, their integration could not only expedite this process but also enhance its accuracy and utility in the identification of suspects or missing persons, representing a groundbreaking advancement in the field of criminal investigation.…”
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Versatility of the mid-forehead flap in facial reconstruction by Mayra Joan Marins da Costa

“…INTRODUCTION: Reconstruction of complex facial defects is a challenge to the plastic surgeon. Different missing anatomical units must be accessed in different ways and with individualized goals, always tailoring the options to the patient's needs. …”
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Trustworthy Load Prediction for Cantilever Roadheader Robot Without Imputation by Pengjiang Wang, Yuxin Li, Yunwang Li, Yang Shen, Weixiong Zheng, Shigen Fu

“…We introduce a trustworthy decision tree that integrates mixed-integer programming (MIP) and Missing Incorporated in Attributes (MIA) as the base predictor, which can handle missing data, thereby accelerating load prediction and improving prediction accuracy. …”
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Reverse modelling process to support of a flemish wooden altarpiece physical restoration by Francesco Di Paola, Arabella Bombace, Gianfranco Di Miceli, Yuri Alogna

“…The multidisciplinary investigation process is aimed to guide the disassembly of the various components, to tell the long process of activity in the laboratory and to experiment the realization and integration of missing parts. The innovative application of 3D digital technologies shows how the integrated use of the new technology can be a useful tool for improving the conservation of a work of art. …”
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Revolutionizing Midwifery Education : A Scoping Review of Artificial Intelligence Methods by Harridhil Silmi, Ari Indra Susanti

“…AI has the potential to transform midwifery education, but overcoming technical, ethical, and pedagogical barriers is essential for its successful integration. Enhancing faculty capacity, ensuring data integrity, and incorporating AI literacy into curricula are vital steps toward sustainable implementation.…”
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Detective Gadget: Generic Iterative Entity Resolution over Dirty Data by Marcello Buoncristiano, Giansalvatore Mecca, Donatello Santoro, Enzo Veltri

“…., the process of identifying which records refer to the same entity in the real world, plays a critical role in data-integration tasks, especially in mission-critical applications where accuracy is mandatory, since we want to avoid integrating different entities or missing matches. …”
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The Development of a Nutrient Database to Analyse the Dietary Intake of Older Indians in the Longitudinal Aging Study in India—Diagnostic Assessment of Dementia (LASI-DAD) by Danielle Logan, AB Dey, Alka Mohan Chutani, Joyita Banerjee, Pranali Khobragade, Jinkook Lee, Claire McEvoy

“…All FFQ items matched to the IFCT had missing nutrients mapped from matches in other databases, with GB21-0 being the first preference. …”
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