Prevalence and predictors of cervical cancer screening among married women in India: A cross-sectional analysis of National Family Health Survey-5 data by Vansh Maheshwari, Siaa Girotra, Mansi Malik, Saurav Basu

“…In this study, we utilized data from the National Family Health Survey-5 (NFHS-5: 2019-2021) conducted by the International Institute of Population Studies. …”
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What happens between first symptoms and first acute exacerbation of COPD – observational study of routine data and patient survey by Alex Bottle, Alex Adamson, Xiubin Zhang, Benedict Hayhoe, Jennifer K Quint

“…Future work It will be important to expand the COVID-era cohort with longer follow-up and augment general practitioner data for better prediction. …”
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Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…The experiments reveal the model’s scalability, maintaining high fidelity even under augmented dataset sizes and missing data scenarios. …”
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Tackling Heterogeneous Light Detection and Ranging-Camera Alignment Challenges in Dynamic Environments: A Review for Object Detection by Yujing Wang, Abdul Hadi Abd Rahman, Fadilla ’Atyka Nor Rashid, Mohamad Khairulamirin Md Razali

“…A classification of methods for aligning heterogeneous data in 3D object detection is presented. …”
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Validating the diagnostic accuracy of medical certification: a population-level comparison between verbal autopsy and Saudi medical records causes of death of deceased with type 2... by Faleh Alyazidi, Deler Shakely, Fawaz R. Alyazidi, Max Petzold, Laith Hussain-Alkhateeb

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Racial disparities in diabetes care and outcomes for people with visual impairment: a descriptive analysis of the TriNetX research network by Charisse Madlock-Brown, Austin Lee, Jaime Seltzer, Anthony Solomonides, Nisha Mathews, Jimmy Phuong, Nicole Weiskopf, William G. Adams, Harold Lehmann, Juan Espinoza

“…Abstract Background This research delves into the confluence of racial disparities and health inequities among individuals with disabilities, with a focus on those contending with both diabetes and visual impairment. Methods Utilizing data from the TriNetX Research Network, which includes electronic medical records of roughly 115 million patients from 83 anonymous healthcare organizations, this study employs a directed acyclic graph (DAG) to pinpoint confounders and augment interpretation. …”
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Bayesian model parameter learning in linear inverse problems: application in EEG focal source imaging by Alexandra Koulouri, Ville Rimpiläinen

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A Novel Approach to Generate a Virtual Population of Human Coronary Arteries for <italic>In Silico</italic> Clinical Trials of Stent Design by Dimitrios Pleouras, Antonis Sakellarios, George Rigas, Georgia S. Karanasiou, Panagiota Tsompou, Gianna Karanasiou, Vassiliki Kigka, Savvas Kyriakidis, Vasileios Pezoulas, George Gois, Nikolaos Tachos, Aidonis Ramos, Gualtiero Pelosi, Silvia Rocchiccioli, Lampros Michalis, Dimitrios I. Fotiadis

“…<italic>Methods:</italic> A clinical data augmentation algorithm is implemented to efficiently generate virtual clinical data using a real clinical dataset. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…The results demonstrate that our proposed model outperforms existing approaches, highlighting the effectiveness of incorporating attention paradigms, hybrid deep learning architectures, and advanced preprocessing methods for facial emotion detection. The non-parametric statistical test also analyzes it.…”
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Comparing the Effect of Beractant (Beraksurf™) with That of Poractant Alfa (Curosurf®) on the Need for Intermittent Positive Pressure Ventilation in Neonatal Respiratory Distress S... by Yosra Khazani, Sirous Fathi Manesh, Elnaz Shaseb, Parvin Sarbakhsh

“…This study aimed to estimate the effect of beractant (Beraksurf™, Tekzima Company), compared with the Poractant alfa (Curosurf®, Chiesi Pharmaceuticals), as surfactant replacement therapy, on the need for Intermittent Positive Pressure Ventilation (IPPV) in Neonatal Respiratory Distress Syndrome (NRDS) more precisely by fitting a semi-parametric efficient model adjusted for appropriate covariates. Method This study is secondary and we re-analyzing data of a published RCT. …”
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Enhancing Hierarchical Classification in Tree-Based Models Using Level-Wise Entropy Adjustment by Olga Narushynska, Anastasiya Doroshenko, Vasyl Teslyuk, Volodymyr Antoniv, Maksym Arzubov

“…Future research will focus on integrating neural networks with hierarchy-aware metrics, enhancing data augmentation to address class imbalance, and developing real-time classification systems for practical use in industries such as retail, logistics, and healthcare.…”
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Component Analysis When Testing for Fixed Effects in Unbalanced ANOVAs by J. C. W. Rayner, G. C. Livingston

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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

“…The performance has further been enhanced with techniques, such as transfer learning, unsupervised learning, and adversarial learning, to overcome data scarcity and variability. Alongside these techniques, this review also looks at application-specific methods suited to operational needs, such as real-time detection, robust classification, an identification of small objects, and new data handling techniques, such as data augmentation and multimodal fusion. …”
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Robust lung segmentation in Chest X-ray images using modified U-Net with deeper network and residual blocks by Wiley Tam, Paul Babyn, Javad Alirezaie

“…An ablation study was conducted to evaluate these architectural components, along with additional elements like augmented data, alternative backbones, and attention mechanisms. …”
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Expectation-maximization alternating least squares for tensor network logistic regression by Naoya Yamauchi, Hidekata Hontani, Tatsuya Yokota, Tatsuya Yokota

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Task-aware conditional GAN with multi-objective loss for realistic and efficient industrial time series generation by Kai Lang, Yonghua Li

“…To address these challenges, we propose a novel conditional generative adversarial framework that integrates statistical feature augmentation, multi-scale temporal windows, and a composite loss function combining adversarial, L2, DTW, FID, and statistical constraints. …”
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Space-scale exploration of the poor reliability of deep learning models: the case of the remote sensing of rooftop photovoltaic systems by Gabriel Kasmi, Laurent Dubus, Yves-Marie Saint-Drenan, Philippe Blanc

“…Finally, based on our analysis, we introduce a data augmentation technique designed to improve the robustness of deep learning classifiers under varying acquisition conditions. …”
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Self‐Supervised Classification of Weather Systems Based on Spatiotemporal Contrastive Learning by Liwen Wang, Qian Li, Qi Lv

“…However, the existing classification methods are challenged due to a lack of labels and inaccurate similarity measures between data samples. …”
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Divergent confidence intervals among pre-specified analyses in the HiSTORIC stepped wedge trial: An exploratory post-hoc investigation. by Richard A Parker, Catriona Keerie, Christopher J Weir, Atul Anand, Nicholas L Mills

“…In particular, the observed divergence between the calendar-matched and other analyses remained, even after performing the covariate adjustment methods, and after using data augmentation. Divergence was particularly acute for the safety endpoint, which had an event rate of 0.36% overall. …”
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Evaluation of Efficacy of Artificial Intelligence in Orthopantomogram in Detecting and Classifying Radiolucent Lesions by Sheetal Singar, Ajay Parihar, Prashanthi Reddy

“…The descriptive statistics was performed. The Cohen kappa correlation coefficient was used for assessment of reliability of the diagnostic methods. …”
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