AI‐assisted warfarin dose optimisation with CURATE.AI for clinical impact: Retrospective data analysis by Tiffany Rui Xuan Gan, Lester W. J. Tan, Mathias Egermark, Anh T. L. Truong, Kirthika Kumar, Shi‐Bei Tan, Sarah Tang, Agata Blasiak, Boon Cher Goh, Kee Yuan Ngiam, Dean Ho

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Kajian Fonologis Kesalahan Sistematis pada Presentasi Makalah Mahasiswa Universitas Mataram by Adiprasetio Prabowo, Moh. Zalhairi

“…Based on the data analysis, the conclusions were obtained: that was found a form of systematic error in fonts. …”
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Dynamic reconstruction of electroencephalogram data using RBF neural networks by Xuan Wang, Congcong Du, Xianjin Ke, Jian Zhang, Zheng Zheng, Yayan Yue, Ming Yu

“…Signals were preprocessed through bandpass filtering (1–35 Hz) and Independent Component Analysis (ICA) for artifact removal. neural network was trained on EEG time-series data with PSO employed to optimize model parameters identify fixed points in the reconstructed neural system. …”
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Analysis of machine learning approaches for the interpretation of acoustic fields obtained by well noise data modelling by N. V. Mutovkin

“…It is shown that in the absence of data distortion, it is possible to build models that provide an absolute error in the assessment of the phase composition about 1% after the zone of fluid inflow and about 5% in the zone before the inflow.…”
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S_I_LSTM: stock price prediction based on multiple data sources and sentiment analysis by Shengting Wu, Yuling Liu, Ziran Zou, Tien-Hsiung Weng

“…Then, we use the sentiment analysis method based on convolutional neural network for the non-traditional data, which can calculate the investors' sentiment index. …”
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Research on somatic interactive exhibition design of lacquer artwork based on multi-source data analysis by Ke Ni

“…Finally, leveraging the powerful capabilities of deep neural networks, a synergistic model for multi-source data analysis is proposed and effectively applied to the Grand Lacquer Art Exhibition. …”
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Mathematical modeling of tuberculosis using Caputo fractional derivative: a comparative analysis with real data by Sanjay Bhatter, Sangeeta Kumawat, Sunil Dutt Purohit, D. L. Suthar

“…We estimate the model parameters, including the fractional-order derivative, and determine that the optimal fractional order, which best fits the real data, is approximately 0.93. Numerical simulations are performed using the Adams–Bashforth–Moulton method. …”
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LPBSA: Pre-clinical data analysis using advanced machine learning models for disease prediction by Dana R. Hamad, Tarik A. Rashid

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Institutional performance and its impact on economic growth in ASEAN countries: trend and panel data analysis by Setyo Wira Rizki, Nikolay I. Didenko

“…The study implies trend analysis used to reveal the performance of institutions and panel data analysis applied to determine the most significant WGI indicators for ASEAN economic growth. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…This article explores the use of Fisher discriminant analysis (FDA) as a method for extracting time-resolved information from multivariate environmental time series data. …”
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A Prognostic Model for Newly Operated Highway Bridges Based on Censored Data and Survival Analysis by Liang Huang, Jixin Duan, Shizhan Xu, Jiapeng Zhu, Jun Liu, Danjie Niu, Li Xu, Jiangtao You, Pengtao Xue

“…Combined with bridge inspection data from the bridge database in Henan Province, we propose a prognostic model which is based on the Cox regression model for the service performance of newly operated highway girder bridges based on survival analysis theory. …”
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Analysis of Phosphorus Soil Sorption Data: Improved Results from Global Least-Squares Fitting by Joel Tellinghuisen, Paul Holford, Paul J. Milham

“…The standard methods are flawed by (1) treating the measured pseudo-equilibrium concentration <i>C</i> as the independent (hence error-free) variable and (2) neglecting the weighting that should accommodate the varying precision of the data. …”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…We introduce a multi-faceted back analysis approach that combines data augmentation with advanced optimization and machine learning techniques. …”
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Multivariate analysis of near additions for presbyopic patients at a rural optometry clinic by Khisimusi D. Maluleke, Nabeela Hasrod, Alan Rubin

“…Background: Presbyopia is often overlooked in refractive error distribution analysis. This article employs multivariate analysis to address this gap, enhancing understanding of means, outliers and variations through graphical data presentation. …”
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Comparative Analysis of Satellite-Based Rainfall Products for Drought Assessment in a Data-Poor Region by Hansini Gayanthika, Dimuthu Lakshitha, Manthika Chathuranga, Gouri De Silva, Jeewanthi Sirisena

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Data‐Driven Theoretical Modeling of Centrifugal Step Emulsification and Its Application in Comprehensive Multiscale Analysis by Xin Wang, Xiaolu Cai, Chao Wan, Huijuan Yuan, Shunji Li, Yiwei Zhang, Ran Zhao, Yuxi Qin, Yiwei Li, Bi‐Feng Liu, Peng Chen

“…However, the absence of precise predictive models forces droplet platforms to rely on empiricism derived from extensive experiments, underscoring the need for comprehensive modeling analysis. To address this, a novel customized assembled centrifugal step emulsifier (CASE) is presented by incorporating a “jigsaw puzzles” design to efficiently acquire large‐scale experimental data. …”
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Pseudo-Labeling and Time-Series Data Analysis Model for Device Status Diagnostics in Smart Agriculture by Minwoo Jung, Dae-Young Kim

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The Performance Analysis of Diffusion LMS Algorithm in Sensor Networks Based on Quantized Data and Random Topology by Junlong Zhu, Mingchuan Zhang, Changqiao Xu, Jianfeng Guan, Hongke Zhang

“…We first propose a diffusion LMS algorithm with quantized data and random link failures. We further analyze the stability and convergence of the proposed algorithm and derive the closed-form expressions of the MSD (Mean-Square Deviation) and EMSE (Excess Mean-Square Errors), which characterize the steady-state performance of the proposed algorithm. …”
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Securing Biomechanical Data Quality: A Comprehensive Evaluation of On-Board Accelerometers for Shock and Vibration Analysis by Corentin Bosio, Christophe Sauret, Patricia Thoreux, Delphine Chadefaux

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A Data-Driven Analysis of Engineering Contract Risk Characterization Based on Judicial Cases of Disputes by Yongcheng Zhang, Ziyi Wu, Chaohua Xiong, Jianwei Wang, Maxwell Fordjour Antwi-Afari

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