Estimation of surface duct parameters using AIS data based on Bayesian inversion method by Hong-Guang Wang, Li-Jun Zhang, Jie Han, Li-Feng Huang, Qing-Lin Zhu

“…The root mean square errors for the AIS path loss, calculated using the inverted elevated-surface duct parameters, are 5.9 dB and 4.4 dB when compared with the measured data. …”
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Fusing LiDAR and Photogrammetry for Accurate 3D Data: A Hybrid Approach by Rytis Maskeliūnas, Sarmad Maqsood, Mantas Vaškevičius, Julius Gelšvartas

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Negative Binomial Two-Parameter Lindley generalized linear model for modeling count data by Samwel Karanja Kamau, Cox Lwaka Tamba, Luke Akong’o Orawo, Justin Obwoge Okenye

“…From the real data analysis, gender, age of the policyholders, and the type of insurance policy were the determinants of insurance claims. …”
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Privacy Risk Assessment of Medical Big Data Based on Information Entropy and FCM Algorithm by Xiaoliang Zhang, Tianwei Guo

“…With the rapid development of information technology and the advancement of medical informatization, medical big data plays an increasingly important role in diagnosis, treatment, health management, and other aspects. …”
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Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data by M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina

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From counting stations to city-wide estimates: data-driven bicycle volume extrapolation by Silke K. Kaiser, Nadja Klein, Lynn H. Kaack

“…Our analysis reveals that crowdsourced cycling flow data from Strava in the area around the point of interest are most important for the prediction. …”
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Modelling the Temperature of a Data Centre Cooling System Using Machine Learning Methods by Adam Kula, Daniel Dąbrowski, Marcin Blachnik, Maciej Sajkowski, Albert Smalcerz, Zygmunt Kamiński

“…Reducing the energy consumption of a data centre while maintaining the requirements of the compute resources is a challenging problem that requires intelligent system design. …”
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REDEN: Named Entity Linking in Digital Literary Editions Using Linked Data Sets by Carmen Brando, Francesca Frontini, Jean-Gabriel Ganascia

“…Experiments are conducted along with the corresponding error analysis in order to test our approach and to help us to study the weaknesses and strengths of our algorithm, thereby to further improvements of REDEN.…”
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Impact of Cloud Microphysics Initialization Using Satellite and Radar Data on CMA-MESO Forecasts by Lijuan Zhu, Yuan Jiang, Jiandong Gong, Dan Wang

“…This study integrated Fengyun-2 (FY-2) geostationary satellite data (equivalent blackbody temperature and total cloud cover) and next-generation 3D weather radar reflectivity from the China Meteorological Administration (CMA) to construct cloud microphysical initial fields and evaluate their impact on the CMA-MESO 3 km regional model. …”
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Physics‐Based Approach to Thermospheric Density Estimation Using CubeSat GPS Data by Shaylah M. Mutschler, Penina Axelrad, Eric K. Sutton, Dallas Masters

“…This paper provides a direct comparison of estimated density, derived by our new method, to HASDM and Swarm mission derived density. A propagation analysis is also executed by comparing the CubeSat POD data to orbits propagated using our estimated density versus HASDM density. …”
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A Novel Data-Driven MPC Framework Using KDE and KPCA for Autonomous Vehicles by Romdhane Nasri, Jannet Jamii, Majdi Mansouri, Zouhaier Affi, Vicenc Puig

“…This paper introduces a novel data-driven predictive control framework that synergistically integrates Kernel Density Estimation (KDE), Kernel Principal Component Analysis (KPCA), and Hankel matrix representation to address these challenges. …”
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Boosting grapevine phenological stages prediction based on climatic data by pseudo-labeling approach by Mehdi Fasihi, Mirko Sodini, Alex Falcon, Francesco Degano, Paolo Sivilotti, Giuseppe Serra

“…This paper proposes a semi-supervised approach that begins with a small set of labeled phenological stage examples and automatically generates new annotations for large volumes of unlabeled climatic data. This approach aims to address key challenges in phenological analysis. …”
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Data-Efficient Training of Gaussian Process Regression Models for Indoor Visible Light Positioning by Jie Wu, Rui Xu, Runhui Huang, Xuezhi Hong

“…The CDF analysis shows that with the proposed training method, the 97th percentile positioning error of GPR-VLP with 300 training data is reduced from 11.8 cm to 7.5 cm, which corresponds to a ~36.4% improvement in positioning accuracy.…”
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Robust confinement state classification with uncertainty quantification through ensembled data-driven methods by Yoeri Poels, Cristina Venturini, Alessandro Pau, Olivier Sauter, Vlado Menkovski, the TCV Team, the WPTE Team

“…We propose ensembling data-driven methods on two axes: model formulations and feature sets. …”
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Factors affecting teacher feedback on writing achievement, self-efficacy, and self-regulation in EFL context by I Ketut Wardana, Dewa Ayu Ari Wiryadi Joni, Anak Agung Putu Arsana

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Evaluation of risk management from the perspective of hospital nurses in Shahid Rahnemon Hospital by M Zarezade, MS Abolhasani, S Eslami, E Salarikhah, F Bagheri, E Salmani

“…Background: Various statistics of the incidence and prevalence of medical errors in hospitals have been published.is common.This study aimed to identify the initial state of the current level of risk management in the hospital was rahnemon. …”
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Efficiency Analysis of Container Ports in Vietnam Using Stochastic Frontier Analysis by Thanh Uyen Bui, Gyu Sung Cho

“…This study compared the technical efficiency of container ports in Vietnam to pinpoint areas for improvement, enabling the ports to enhance their efficiency and competitiveness within the Vietnamese port industry. This analysis used cross-sectional data from 13 major container ports and terminals across the country, utilizing the variables related to port infrastructure, including the total quay length (in meters), maximum alongside depth (in meters), and total terminal area (in square meters). …”
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The Characteristics of Korean Artists in Pronouncing English Words on Korean Reality Shows: A Generative Phonology Perspective by Regina Galuh Prameswari Pratidina, Agus Subiyanto

“…Qualitative analysis was conducted on data acquired from YouTube. …”
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DISSECTING STUDENT MISCONSTRUCTION IN TRANSFORMATIONAL ACTIVITIES SOLVES PROBLEMS THAT ALLOW COGNITIVE CONFLICT TO OCCUR by Rosimanidar Rosimanidar, Purwanto Purwanto, Erry Hidayanto, I Made Sulandra

“…Student responses and interview results served as research data, analyzed through narrative text analysis. The research findings revealed four forms of construction errors in students during transformative activities in problem-solving that might lead to cognitive conflicts: (1) pseudo construction "correct," occurring when students provide a correct answer to a problem, but upon closer examination, it was found that the clarification of the answer was incorrect; (2) pseudo construction "incorrect," happening when students gave an incorrect answer to a problem, but upon closer examination, the students had a correct thought process and could provide the right answer; (3) hole construction errors, occurring when there were inconsistencies in the construction process of concepts in students' minds; and (4) mis-analogical construction errors, occurring when students made errors in analogizing a problem with representations of other concepts. …”
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Detection of the Risk Factors for Postoperative Asthenopia in Patients with Refractive Disorders by I. A. Mushkova, N. V. Maychuk, A. N. Karimova, L. T. Shamsetdinova

“…Patents were divided into 2 groups according to results of CISS survey: 88% — without AS, 12% — with signs of AS. Retrospective analysis of pre-operative data of the patients with AS has shown that a combination of an absence of binocular vision with a pronounced decrease in fusion reserves, reserves of relative accommodation and volume of absolute accommodation is prognostically unfavorable factors in patients with myopia.Conclusion: All patients with moderate and high myopia have the refractive errors, there is no binocular vision in 12.3% patients. …”
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