Analysis of meteorological effects of cosmic ray neutron component based on data from mid-latitude stations by Kobelev P. G., Hamraev Y. B., Yanke V. G.

“…The technique developed on the basis of multifactor correlation analysis is applicable to processing data from any detectors of the worldwide network of neutron monitors. …”
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Dynamic Anomaly Detection in the Chinese Energy Market During Financial Turbulence Using Ratio Mutual Information and Crude Oil Price Movements by Lin Xiao, Arash Sioofy Khoojine

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The financial burden of chronic wounds in primary care: A real-world data analysis on cost and prevalence by Miguel Ángel Díaz-Herrera, Mónica González-Durán, Francisco Javier Rodríguez-Martínez, Gema Tujillo-Flores, Nuria Tuset-Mateu, Jose Verdú-Soriano, Vicente Gea-Caballero, Albert Sanllorente-Melenchón, Jesús Almeda-Ortega, Oriol Cunillera-Puértolas, Mateo Acedo-Anta, José Ramón Martínez-Riera

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A privacy-enhanced framework for collaborative Big Data analysis in healthcare using adaptive federated learning aggregation by Rahul Haripriya, Nilay Khare, Manish Pandey, Sreemoyee Biswas

“…This adaptive strategy not only improves convergence but also optimizes resource utilization, making it suitable for multi-center healthcare networks where data heterogeneity is prevalent. The novelty of the proposed adaptive aggregation lies in its ability to maintain robust performance while minimizing computational costs, making it feasible for large-scale healthcare AI networks, such as hospital federated learning systems. …”
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Maritime logistics and economic growth in the context of APEC: a two-stage data envelopment analysis study by Odette Delfin-Ortega

“…Abstract The objective of this research is to analyze the factors influencing port efficiency from 2000 to 2023 using data envelopment analysis methodology and a dynamic ordinary least squares econometric model. …”
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A Novel Method for Traffic Parameter Extraction and Analysis Based on Vehicle Trajectory Data for Signal Control Optimization by Yizhe Wang, Yangdong Liu, Xiaoguang Yang

“…The method comprises five modules: data preprocessing, basic feature processing, exploratory data analysis, key feature extraction, and data visualization. …”
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Application of machine learning for seam profile identification in robotic welding by Fatemeh Habibkhah, Mehrdad Moallem

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Impact of training data composition on the generalizability of convolutional neural network aortic cross-section segmentation in four-dimensional magnetic resonance flow imaging by Chiara Manini, Markus Hüllebrand, Lars Walczak, Sarah Nordmeyer, Lina Jarmatz, Titus Kuehne, Heiko Stern, Christian Meierhofer, Andreas Harloff, Jennifer Erley, Sebastian Kelle, Peter Bannas, Ralf Felix Trauzeddel, Jeanette Schulz-Menger, Anja Hennemuth

“…Model performance was evaluated using Dice score, Hausdorff distance, and average symmetric surface distance on test data, datasets with characteristics not represented in the training set (model-specific), and an overall evaluation set. …”
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Spatial Correlation Network Characteristics of Comprehensive Transportation Green Efficiency in China by Qifei Ma, Sujuan Li, Zhenchao Zhang

“…Furthermore, the standard deviational ellipse (SDE) model and social network analysis (SNA) method are adopted to delineate the spatiotemporal evolution patterns and spatial correlation network characteristics of CTGE, based on input–output data from the transportation industry across 30 provinces (municipalities and autonomous regions) between 2003 and 2020. …”
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High-Resolution Daily XCH₄ Prediction Using New Convolutional Neural Network Autoencoder Model and Remote Sensing Data by Mohamad M. Awad, Saeid Homayouni

“…To mitigate these limitations, a novel Convolutional Neural Network Autoencoder (CNN-AE) model was developed. …”
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Mapping of Agate-like Soil Cover Structures Based on a Multitemporal Soil Line Using Neural Network Filtering of Remote Sensing Data by Dmitry I. Rukhovich, Polina V. Koroleva, Alexey D. Rukhovich, Mikhail A. Komissarov

“…ASCSs were identified over large areas and soil maps of ASCSs were constructed using multitemporal spectral characteristics of the BSS in the form of multitemporal soil line coefficients. Neural networks were used to identify BSS on big remote sensing data. …”
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A Multi-Granularity Features Representation and Dimensionality Reduction Network for Website Fingerprinting by Yaojun Ding, Bingxuan Hu

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Assessment of the Efficiency of Public Hospitals in Romania by Laura Asandului, Raluca-Elena Caunic, Paul Coţofrei

“…We propose an approach that contains preliminary data analyses to obtain homogeneous distributions, then we use Data Envelopment Analysis to estimate the technical efficiency scores for the hospitals in the sample. …”
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Cloud Removal in Full-disk Solar Images Using Deep Learning by Zhenhong Shang, Peng Du, Zhenping Qiang, Runxin Li

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A comparative study of methods for dynamic survival analysis by Wieske K. de Swart, Marco Loog, Jesse H. Krijthe, Jesse H. Krijthe

“…While the tested longitudinal models often struggled to outperform simple benchmarks, neural network models showed some improvement in simulated scenarios with sufficiently informative longitudinal trajectories.DiscussionOur findings underscore the importance of aligning model selection and training strategies with the specific characteristics of the data and the target application, providing valuable insights that can inform future developments in dynamic survival analysis.…”
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The published role of artificial intelligence in drug discovery and development: a bibliometric and social network analysis from 1990 to 2023 by Murat Koçak, Zafer Akçalı

“…Bibliometric and network analysis methods (co-occurrence, co-authorship, and collaboration, etc.) were used to achieve this goal. …”
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Comparative Analysis of Gradient Descent Learning Algorithms in Artificial Neural Networks for Forecasting Indonesian Rice Prices by Rica Ramadana, Agus Perdana Windarto, Dedi Suhendro

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Combined application of FTAN and cross-spectra analysis to ambient noise recorded by a microseismic monitoring network by Ilaria Barone, Alessandro Brovelli, Giorgio Tango, Sergio Del Gaudio, Giorgio Cassiani

“…Despite the limited number of stations and the short-period character of the seismic sensors, the empirical Green's functions were retrieved for all station pairs using two years of passive data. Both group and phase velocities were derived, the former using the widespread frequency-time analysis, the latter through the analysis of the real part of the cross-spectra. …”
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Dynamic performance analysis of sensible and latent cold thermal energy storage systems for building cooling networks by Bilal Lamrani, Rubayyi T. Alqahtani, Abdelhamid Ajbar, Mouhcine benaicha

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Correlation Analysis Study Between the Intensity of Counseling Friendship Network and Exercise Time Among University Taekwondo Athletics by Sung‐Min Son, Byung‐O Ahn

“…Purpose The purpose of this study is to analyze the correlation between the intensity of counseling friendship networks and exercise time among university taekwondo athletes by using social network analysis (SNA). …”
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