Simulation Study to Identify Factors Affecting the Performance of LSTM and XGBoost for Anomaly Detection on Labeled Time Series Data by Muhammad Rizky Nurhambali, Yenni Angraini, Anwar Fitrianto

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A Deep Learning Method for Human Sleeping Pose Estimation with Millimeter Wave Radar by Zisheng Li, Ken Chen, Yaoqin Xie

“…We rigorously evaluated our method with an experimentally acquired data set which contains sleeping radar sequences from 16 volunteers. …”
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Spatial Cluster Detection Under Dependent Random Environmental Effects by Walguen Oscar, Jean Vaillant

“…Overdispersion and spatial dependence must be taken into account in the modeling, otherwise the classical scan statistics method may lead to the detection of false clusters. …”
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Four-parameter beta mixed models with survey and sentinel 2A satellite data for predicting paddy productivity by Dian Kusumaningrum, Hari Wijayanto, Anang Kurnia, Khairil Anwar Notodiputro, Muhlis Ardiansyah, Islam MD Parvez

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Towards Context-Rich Automated Biodiversity Assessments: Deriving AI-Powered Insights from Camera Trap Data by Paul Fergus, Carl Chalmers, Naomi Matthews, Stuart Nixon, André Burger, Oliver Hartley, Chris Sutherland, Xavier Lambin, Steven Longmore, Serge Wich

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A Two-Dimensional DOA Estimation Method Based on Virtual Extension of Sparse Array by Guibao Wang, Peiyao Zhao, Lanmei Wang, Xiangyu Wang, Huan Wang, Zhongpeng Zhang

“…Furthermore, the virtual received signal of the augmented array is obtained by the second-order statistic of the received data. …”
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Adjustment for sparse data bias in odds ratios: Significance to appraisal of risk of diabetes due to occupational trichlorfon insecticide exposure by Igor Burstyn, David Miller

“…Next, we applied easily accessible methods that adjust for sparse data bias to the extracted contingency tables, including data augmentation, bootstrap, Firth's regression, and Bayesian methods with weakly informative priors. …”
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Quantifying model output uncertainty from sparse input data: a case study in the Mississippi sound and mobile bay by Meena Raju, Anna Linhoss, Raúl J. Osorio

“…Statistical measures of performance were used to: (1) compare interpolated inputs across methods, (2) assess model outputs based on each interpolation method, and (3) compare modeled outputs with observed data. …”
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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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A Distributed Detection Method for Quality-related Faults in Complex Non-stationary Industrial Processes by Jie DONG, Daye LI, Yanmei WEI, Kaixiang PENG, Hui YANG

“…The statistical characteristics of process data time series in the production process typically vary over time due to changes in production conditions, unknown external interference, load fluctuations, and other factors. …”
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The Implementation Outcomes and Population Impact of a Statewide IT Deployment for Family Caregivers: Mixed Methods Study by Orly Tonkikh, Heather M Young, Janice F Bell, Jessica Famula, Robin Whitney, Jennifer Mongoven, Kathleen Kelly

“…One of the major goals is to expand data, research, and evidence-based practices to support family caregivers. …”
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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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A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients by Ying Wang, Kaipeng Wang, Jinjun Hou, Ziqi Ye, Changsheng Lin, Xueping Li

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Relationship of the Alternative Communication Methods by Nurse With Work Environment and Patient Safety Culture in Intensive Care Units by Maedeh Misaghi, Simin Jahani, Somayeh Biparva Haghighi, Elham Maraghi, Neda Sayadi

“…Data were collected from May to June 2022 using the hospital survey on patient safety culture (HSOPSC), nursing work index (NWI) and an AAC method use questionnaire. …”
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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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Intersecting factors of disadvantage and discrimination and their effect on daily life during the coronavirus pandemic: the CICADA-ME mixed-methods study by Carol Rivas, Amanda P Moore, Alison Thomson, Kusha Anand, Zainab Zuzer Lal, Alison Fang-Wei Wu, Ozan Aksoy

“…Methods We used a transformative, convergent parallel mixed-methods design integrating three strands – quantitative, qualitative and a secondary data strand – across three phases over 18 months, to answer the study objectives. …”
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Determination of Cefoperazone Sodium in Presence of Related Impurities by Improved Classical Least Squares Chemometric Methods: A Comparative Study by Ibrahim A. Naguib, Hany W. Darwish

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Development of the CAMUS Intra- and Postoperative Risk and Difficulty Estimation Indices Risk Prediction Tool for Estimating Peri- and Postoperative Outcomes, Including Surgical Di... by Christopher Soliman, Patrick Y. Wuethrich, Jochen Walz, Niall M. Corcoran, Nathan Lawrentschuk, Anna Walde, Marc A. Furrer

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