An Intelligent Market Model that Incorporates Individual Trader’s Behavior to Simulate Forex Trading Data by Patrick Naivasha, George Musumba, Patrick Gikunda, John Wandeto

“…We use game-theoretic analysis to build a model that considers individual trader traits and generates Forex data. …”
Get full text

Double weighted k nearest neighbours for binary classification of high dimensional genomic data by Amjad Ali, Zardad Khan, Hailiang Du, Saeed Aldahmani

“…Overall, $$\hbox {DW}k\hbox {NN}$$ presents a promising approach for gene expression data analysis through the two fold weighted distance calculation strategy using classification accuracy, Cohen’s kappa, sensitivity and $$\hbox {F}_1-$$ score as performance metrics.…”
Get full text

The cardiac function characteristics and nursing measures of endoscopic endonasal transsphenoidal approach for growth hormone-secreting pituitary adenoma complicated with cardiomyo... by YAN Ying (闫莹), HE Xin (贺欣)

“…Methods The clinical data of 38 cases of patients who underwent endoscopic endonasal transsphenoidal approach for the treatment of growth hormone-secreting pituitary adenoma complicated with cardiomyopathy were collected and analyzed, Using echocardiography to detect the growth hormone(GH) level, left ventricular end-diastolic diameter(LVEDD), septal thickness(ST), left ventricular posterior wall thickness(LVPWT), left ventricular ejection fraction(LVEF) to comparative analysis of cardiac function were made in these patients before surgery and after 3 months. …”
Get full text

Hybrid data-driven and physics-informed regularized learning of cyclic plasticity with neural networks by Stefan Hildebrand, Sandra Klinge

Get full text

Modeling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data Using FRK by Matthew Sainsbury-Dale, Andrew Zammit-Mangion, Noel Cressie

“… Non-Gaussian spatial and spatio-temporal data are becoming increasingly prevalent, and their analysis is needed in a variety of disciplines. …”
Get full text

Machine Learning Approaches for Data-Driven Self-Diagnosis and Fault Detection in Spacecraft Systems by Enrico Crotti, Andrea Colagrossi

“…A high-fidelity functional engineering simulator is employed to generate realistic datasets from typical onboard signals, including sensor and actuator outputs. …”
Get full text

A novel drought index integrating GNSS and precipitation data for drought monitoring in Brazil by Wei Chen, Miao Tang, Zhongshan Jiang, Min Zhong, Wei Feng

“…GP-MSDI combines meteorological and hydrological variables using the Copula function, enabling multidimensional evaluation of drought events. …”
Get full text

Traffic concealed data detection method based on contrastive learning and pre-trained Transformer by HE Shuai, ZHANG Jingchao, XU Di, JIANG Shuai, GUO Xiaowei, FU Cai

“…By transforming the problem of concealed data detection into a similarity analysis problem, a diversity-sensitive Transformer architecture was developed leveraging contrastive learning, which enhanced the model’s sensitivity to traffic differences through the use of positive and negative sample pairs, and using information noise contrastive estimation (Info NCE) as the loss function for fine-tuning downstream tasks of encrypted traffic. …”
Get full text

Identification of Biomarkers for Inflammatory Bowel Disease Based on Single-Cell RNA Sequencing Data by Qin Wenbo, Chen Xuezhen, Zhang Jinbo, Sun Xiao, Fan Jue

“…Single-cell RNA sequencing (scRNA-seq) technology helps to elucidate the molecular characteristics and functional states of individual cells, thereby advancing the study of IBD's intricate mechanisms. …”
Get full text

Bank data protection and fraud identification based on improved adaptive federated learning and WGAN by Yunjiao Zheng

“…The experiment outcomes show that the adaptive data protection architecture designed in this study notably raises the convergence performance of the loss function after introducing adaptive gradient pruning and noise differentiation strategies, with a minimum loss value of 0.09 and excellent learning ability. …”
Get full text

A Design of Leaderless Formation Controller for Multi-ASVs with Sampled Data and Communication Delay by Wenxu Zhu, Guihua Xia, Xiangli Jiang

“…The implicit formation center of the leaderless framework is derived, which facilitates the description and analysis of formation movements. The stability of the system is rigorously analyzed by using the Lyapunov–Krasovskii functional. …”
Get full text

Genealogy of a data ecosystem: The digitalisation of planning development and control in Ireland, 2000–2024 by Rob Kitchin, Juliette Davret, Carla Maria Kayanan, Samuel Mutter

“…Using this framing, we document the adoption of a set of related IT management systems by planning actors at local and national scale and how they have been stitched together to form a functioning, multi-scalar data ecosystem. Our longitudinal analysis reveals the contingent, relational nature of technology adoption and the construction and evolution of data ecosystems, and the social, political and technical work that continually reconfigures their relations and practices.…”
Get full text

Intelligent identification of ballastless track subgrade settlement based on vehicle-rail vibration data by Chong Li, Yu Guo

“…The CNN-LSTM model achieves a detection accuracy of 99.26%, outperforming four benchmark models—backpropagation (BP) neural network, radial basis function (RBF) network, CNN, and LSTM—which validates its robustness and practical effectiveness. …”
Get full text

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

“…Initially, preliminary data on surface-based duct and elevated-surface duct parameters are acquired from historical sounding data, followed by correlation analysis and probability density distribution fitting of these surface duct parameters. …”
Get full text

Educational and aesthetic data in school murals Directorate of Public Education, Al-Rusafa/Third by Hatem Kateh Loken Hassan Al- Atwani

“…While the goal of the research was determined in: (identifying the school murals and what they achieve in general education, the third Rusafa), the theoretical framework focused on several topics, as the first topic dealt with: (the educational data of the school murals in the General Directorate of Education, the third Rusafa), and the second: (the aesthetic data of the murals School in the General Directorate for Education Rusafa III) and the third: (types of school murals), then three models were described and analyzed, based on the paragraphs of the analysis derived from the theoretical framework, and the indicators that resulted from it. …”
Get full text

Using 14 Years of Satellite Data to Describe the Hydrodynamic Circulation of the Patras and Corinth Gulfs by Basile Caterina, Aurélia Hubert-Ferrari

“…The combination of satellite observations and Data Interpolating Empirical Orthogonal Function (DINEOF) methods produced comprehensive maps detailing the hydrodynamic patterns in both gulfs. …”
Get full text

Data Synchronization Design of Driver Display Unit Based on MVB and Ethernet Redundant Communication by RAO Tiangui, WANG Yu, ZHANG Yi

“…This design method is effectively compatible with the MVB data exchange method, and ensures the consistency of MVB data processing and Ethernet data processing by using function overload, and effectively prevents data analysis errors; the pulse is processed in a unified way, and the multi type pulse transmission only needs simple configuration without coding, which improves the development efficiency; the perfect synchronization method effectively ensures the correctness of data synchronization. …”
Get full text

Evaluation of Data Acquisition Areas in Geotechnical Seismic Tests: Insights from Field Applications by Gunwoong Kim

“…To address this, 69 datasets from four different sites were analyzed to predict the data acquisition areas for SASW as a function of depth. …”
Get full text

Excess costs of transgender and gender-diverse people with gender incongruence and gender dysphoria compared with people from the general population in Germany: a secondary analysi... by Judith Dams, Hans-Helmut König, Thomas Grochtdreis, Peer Briken, Alexander Konnopka, Janis Renner, Arne Dekker, Timo Nieder

“…Therefore, the aim of this study was to determine the excess costs associated with GIC/GD in Germany.Design In a secondary analysis, baseline data of a randomised controlled trial with a sample of TGD people with GIC/GD were combined with data of a telephone survey conducted in a representative sample of the general German population. …”
Get full text

A novel method for power transformer fault diagnosis considering imbalanced data samples by Jun Chen, Yong Wang, Lingming Kong, Yilong Chen, Mianzhi Chen, Qian Cai, Gehao Sheng

“…To address this issue and enhance the accuracy and operational efficiency of power transformer fault diagnosis models, this paper presents a novel fault diagnosis model that integrates Neighborhood Component Analysis (NCA) and k-Nearest Neighbor (KNN) learning, with the incorporation of correction factors.MethodsThe methodology begins by introducing a correction factor into the objective function of the NCA algorithm to reduce the impact of sample imbalance on model training. …”
Get full text