Determination of G2 Erosion Model Parameters With Photogrammetry and Remote Sensing Data by Edyta Kruk, Przemyslaw Klapa, Marek Ryczek, Tomasz Kowalik

“…Photogrammetric and remote sensing studies have a wide range of applications. They are popular data sources for various purposes, including spatial analysis, site and object surveys, and environmental studies. …”
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ICBoost: An XGBoost-Based Unbiased Transformed Algorithm for Survival Regression by Jingyi Zhang, Shishun Zhao, Yang Xu, Tao Hu

“…This study aims to develop a reliable and efficient prediction algorithm that utilizes unbiased transformation to improve machine learning model performance on interval-censored data. …”
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Research on Ship Main Engine Fuel Consumption Model With Data Integration and Noise Cleaning by Yingbin Chen, Zhenping Huang, Liang Feng

“…Data-driven fuel consumption models are developed using ANA, SVR, LR, LGBM, RF, GBDT, and XGBoost. …”
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Indian election data for polling stations and villages: National elections 2009–2019 by Francesca R. Jensenius, Pradeep Chhibber, Sanjeer Alam, Pranav Gupta, Madhavan Somanathan

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Reusing data from HL7 CDA-based shared EHR systems for clinical trial conduct: a method for analyzing feasibility by Georg Duftschmid, Florian Katsch, Gabriela Ciortuz, Dipak Kalra, Christoph Rinner

“…Results A stepwise approach was developed to analyze HL7 CDA-based shared EHR systems for their coverage of data elements that are relevant for clinical trials. …”
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A Bayesian-Weighted Inverse Gaussian Regression Model with Application to Seismological Data by Ehsan Mesdaghi, Afshin Fallah, Rahman Farnoosh, Gholam Hossein Yari

“…This is because the common analytic modeling procedures such as linear regression are often inappropriate for such data and leads to inadequate results. In this article, we proposed a new model for regression analysis of the right-skewed data by assuming the weighted inverse Gaussian, as a great flexible distribution, for response observations. …”
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Integration of Machine Learning and Wavelet Algorithms for Processing Probing Signals: An Example of Oil Wells by Zukhra Abdiakhmetova, Zhanerke Temirbekova

“…Moreover, standard regression-based approaches for interpreting induction logging data may fail to capture intricate signal variations, limiting their effectiveness in real-time decision-making. …”
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Safety and tolerability of antiepileptic drugs in women with epilepsy (literature review and own data) by K. Yu. Mukhin, O. A. Pylaeva, A. S. Petrukhin

“…We conducted a retrospective analysis of data for 345female patients aged between 15 and 40 years that were followed up at the Svt. …”
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Risk factors associated with poor pain outcomes following primary knee replacement surgery: Analysis of data from the clinical practice research datalink, hospital episode statisti... by Hasan Raza Mohammad, Rachael Gooberman-Hill, Antonella Delmestri, John Broomfield, Rita Patel, Joerg Huber, Cesar Garriga, Christopher Eccleston, Rafael Pinedo-Villanueva, Tamer T Malak, Nigel Arden, Andrew Price, Vikki Wylde, Tim J Peters, Ashley W Blom, Andrew Judge

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Sex-disaggregated analysis of age-standardized human immunodeficiency virus/acquired immune deficiency syndrome and sexually transmitted infections prevalence in Sierra Leone: insi... by Augustus Osborne, Yusuf Sheku Tejan, Umaru Sesay, Ibrahim Franklyn Kamara

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Mapping stakeholders, services, data, and the information system for adolescent health in the West Bank by Aisha Shalash, Maysaa Nemer, Niveen Abu-Rmeileh, Mohammad Kittaneh, Dervla Kelly, Khalifa Elmusharaf

“…Thematic analysis was performed on interview data, and geospatial analysis was used to visualize the distribution of services and providers across 11 governorates using ArcMap 10.5. …”
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Personal data protection in Ukraine via the prism of european judicial institutions’ practise by Mykola Kotenko, Ruslan Karagioz, Iryna Sopilko, Valerii Andrusiv, Hanna Yermakova

“…Thus, notable cases were examined in order to shed light on the developing comprehension of sensitive data and the need for enhanced security. …”
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Supervised Wavelet Method to Predict Patient Survival from Gene Expression Data by Maryam Farhadian, Paulo J. G. Lisboa, Abbas Moghimbeigi, Jalal Poorolajal, Hossein Mahjub

“…The results suggested the possibility of developing new tools based on wavelets for the dimensionally reduction of microarray data sets in the context of survival analysis.…”
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Longitudinal Monitoring of Electric Vehicle Travel Trends Using Connected Vehicle Data by Jairaj Desai, Jijo K. Mathew, Nathaniel J. Sturdevant, Darcy M. Bullock

“…We believe the analysis presented in this paper can serve as a framework to support dialogue between agencies and automotive Original Equipment Manufacturers in developing an unbiased framework for deriving anonymized performance measures for agencies to make informed data-driven infrastructure investment decisions to equitably serve ICE, HV, and EV users.…”
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Data-driven FMEA approach for hazard identification and risk evaluation in digital health by Hafiz Muhammad Waseem, Saif Ul Islam, Stuart Harrison, Gregory Epiphaniou, Nikolaos Matragkas, Theodoros N. Arvanitis, Carsten Maple

“…This study provides actionable recommendations to strengthen data integrity, security, and interoperability, supporting the safe adoption of AI, blockchain, and other emerging technologies in developing secure and resilient digital healthcare systems.…”
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A strategy for recovering continuous behavioral telemetry data from Pacific walruses by Anthony Fischbach, Chadwick V. Jay

“…We found a 98% correspondence of our algorithm's classification with a test classification based on time–depth data recovered and characterized through multivariate analysis in a separate study. …”
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The data-intensive research paradigm: challenges and responses in clinical professional graduate education by Chunhong Yang, Yijing Chen, Changshun Qian, Fangmin Shi, Fangmin Shi, You Guo, You Guo, You Guo, You Guo, You Guo

“…Future healthcare professionals will need not only to possess traditional medical knowledge and clinical skills, but also to master interdisciplinary skills such as data analysis, programming, and statistics. In response, this paper proposes a series of countermeasures, including curriculum reconstruction, faculty development, developing and sharing resources, updating the evaluation and assessment system, and strengthening ethics education. …”
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The Impact of Cancer on Poverty: An Analytical Study Using Big Data and OLS Regression by Heny Pratiwi, Muhammad Ibnu Sa’ad, Wahyuni Wahyuni, Syamsuddin Mallala

“…This study aimed to analyze the relationship between cancer mortality rates and poverty levels using the Ordinary Least Squares (OLS) regression method and big data covering various socio-economic indicators. …”
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Seamless Weather Data Integration in Trajectory-Based Operations Utilizing Geospatial Information by Sang-Il Kim, Donghyun Jin, Jiyeon Kim, Do-Seob Ahn, Kyung-Soo Han

“…We constructed a distributed processing system using Apache Spark, enabling the efficient processing of large-scale weather data. The performance evaluation demonstrated excellent scalability and efficiency in processing large-scale data. …”
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Acute Kidney Injury in the Neonatal Period: Retrospective Data and Implications for Clinical Practice by Meidad Greenberg, Saray Sity-Harel, Sydney Benchetrit, Lewis Reisman, Tali Zitman-Gal, Daniel Erez, Maysam Shehab, Keren Cohen-Hagai

“…Thirty-four of them had available long-term data and were included in this analysis. A total of 13 out of 26 subjects with available blood pressure measurements had high blood pressure for their age percentile compatible with the definition of hypertension, and 6 out of 34 (17.6%) had proteinuria. …”
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