Effects of Ply Misalignment in Material Characterization of Composite Laminates by Michael Franz, Racim Radjef, Boris Eisenbart, Sandro Wartzack

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Editorial: Statistical approaches, applications, and software for longitudinal microbiome data analysis and microbiome multi-omics data integration by Huilin Li, Jun Chen, Mogens Fenger, Yuan Jiang

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Survey on the visualization technologies of threatening security data in cyber space by Fan ZHANG, Fan XIE, Jie JIANG

“…With the rapid development of the cyber threatening methods,the requirements of network security data analysis become more and more imperative.Data visualization has already evolved as a requisite tool among all kinds of data analysis theory framework and applications,especially in the fields of scientific computation,business intelligence and cyber security.Threatening security data visualization provides various effective interaction means which improve the perception ability for the cyber security specialists to get a distinctive insight into the large amount of complicated cyber security problems.The state-of-art cyber security data visualization technologies were introduced.Some existing problems that were still challenging research topics were investigated.Some directions for future studies were outlined.…”
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Data Collection and Analysis for Small-Town Policing: Challenges and Recommendations by Claire Kelling, Anna Haensch, Ariana Mendible, Spencer Brooks, Alexander Wiedemann, Manuchehr Aminian, Wade Hasty, Jude Higdon

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Analysis of plant metabolomics data using identification‐free approaches by Xinyu Yuan, Nathaniel S. S. Smith, Gaurav D. Moghe

“…These peaks are usually annotated using in‐house retention time or spectral libraries, in silico fragmentation libraries, and increasingly through computational techniques such as machine learning. Despite these advances, over 85% of LC‐MS peaks remain unidentified, posing a major challenge for data analysis and biological interpretation. …”
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Automated analysis of high‐content microscopy data with deep learning by Oren Z Kraus, Ben T Grys, Jimmy Ba, Yolanda Chong, Brendan J Frey, Charles Boone, Brenda J Andrews

“…Abstract Existing computational pipelines for quantitative analysis of high‐content microscopy data rely on traditional machine learning approaches that fail to accurately classify more than a single dataset without substantial tuning and training, requiring extensive analysis. …”
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Application of a Hybrid Model for Data Analysis in Hydroponic Systems by Kuanysh Bakirov, Jamalbek Tussupov, Akhmet Tussupov, Ibraheem Shayea, Aruzhan Shoman

“…This study presents a hybrid data analysis approach to optimize the growing conditions for beetroot and tarragon microgreens cultivated in hydroponic systems. …”
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Evaluating the Security of Merkle Trees: An Analysis of Data Falsification Probabilities by Oleksandr Kuznetsov, Alex Rusnak, Anton Yezhov, Kateryna Kuznetsova, Dzianis Kanonik, Oleksandr Domin

“…This work offers crucial insights into optimizing Merkle Tree structures for bolstering security in blockchain and IoT systems, achieving a balance between computational efficiency and data integrity.…”
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Novel approaches in prediction of tensile strain capacity of engineered cementitious composites using interpretable approaches by Alahmari Turki S., Farooq Furqan

“…Thus, the intrusion of fibers in the cementitious matrix forms ductile engineered cementitious composites (ECCs) that can cater to this weak area of CC. …”
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The advantages of k-visibility: A comparative analysis of several time series clustering algorithms by Sergio Iglesias-Perez, Alberto Partida, Regino Criado

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Topological Data Analysis and Graph-Based Learning for Multimodal Recommendation by Khalil Bachiri, Ali Yahyaouy, Maria Malek, Nicoleta Rogovschi

“…In this study, we present a new framework that combines Topological Data Analysis (TDA) with graph-based learning to improve multimodal recommendations (TDA-MMRec). …”
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Multivariate and Spatial Study and Monitoring Strategies of Groundwater Quality for Human Consumption in Corsica by Hajar Lazar, Meryem Ayach, Abderrahim Bousouis, Frederic Huneau, Christophe Mori, Emilie Garel, Ilias Kacimi, Vincent Valles, Laurent Barbiero

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Explainable machine learning and feature engineering applied to nanoindentation data by C.O.W. Trost, S. Žák, S. Schaffer, L. Walch, J. Zitz, T. Klünsner, H. Leitner, L. Exl, M.J. Cordill

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Dynamic Identification of Bridges Using Multiple Synchronized Cameras and Computer Vision by Tommaso Panigati, Alessia Abbozzo, Maria Antonietta Pace, Eray Temur, Filip Cigan, Rolands Kromanis

“…The proposed methodology encompasses approach, setup, and data analysis techniques, with the final scope of extracting modal parameters from videos of a vibrating bridge. …”
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Exploring the connection between maternal mental health and partnership, parental role, and satisfaction with various aspects of life using pairfam data: a cross-sectional analysis by Monique Förster, Claudia Kirsch, Julia Habermann, Dorothee Noeres

“…Multiple linear regression analysis was conducted, with the mental health composite scale of the Short Form 12 (Version 2.0) Health Survey as the dependent variable, and the previously mentioned variables as independent variables. …”
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Deep Learning in Power Systems: A Bibliometric Analysis and Future Trends by Seyed Mahdi Miraftabzadeh, Andrea Di Martino, Michela Longo, Dario Zaninelli

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Machine learning of time series data using persistent homology by Takashi Ichinomiya

“…Abstract This study proposes a novel method for time-series analysis based on persistent homology. Traditional time-series analysis techniques based on persistent homology often involve high computational costs. …”
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The Formation of Artificial Data based on a Conveyor Enterprise by A. V. Zaripov, R. S. Kulshin, A. A. Sidorov

“…The research is devoted to the analysis and development of methods for generating artificial data in order to solve computer vision problems that arise during the operation of conveyor-type technological lines. …”
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A Numerical-Experimental Method for Drop Impact Analysis of Composite Landing Gear by Yongliang Guan, Zhipeng Xue, Ming Li, Hongguang Jia

“…Therefore, variability in mechanical properties must be considered in a mechanical response analysis of composite structures. A method is proposed in this paper to predict the dynamic performance of composite landing gear with uncertainties using experimental modal analysis data and nonlinear static test data. …”
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COMPARATIVE ANALYSIS OF CLASSIFICATION MODELS FOR DETERMINING THE QUALITY OF WINE BY ITS CHEMICAL COMPOSITION by Vladimir S. Repkin, Artemy V. Li, Grigory Yu. Semenov, Nikita I. Sermavkin, Alexander S. Kovalenko, Nikolai S. Egoshin

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