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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The complete mitochondrial genome data of Zhangixalus omeimontis (Anura: Rhacophoridae): genome characterization and phylogenetic considerationZenodo data by Qinggang Mei, Yi Qing, Yiming Deng, Dongmei Zhao, Lichun Jiang

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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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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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The Fractality of Sentiment Arcs for Literary Quality Assessment: the Case of Nobel Laureates by Yuri Bizzoni, Pascale Moreira, Mads Rosendahl Thomsen, Kristoffer L. Nielbo

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Graph of graphs analysis for multiplexed data with application to imaging mass cytometry. by Ya-Wei Eileen Lin, Tal Shnitzer, Ronen Talmon, Franz Villarroel-Espindola, Shruti Desai, Kurt Schalper, Yuval Kluger

“…We applied our method to predict the sensitivity to PD-1 axis blockers treatment of lung cancer subjects based on IMC data, achieving 97.3% average accuracy on two IMC datasets. …”
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Integrating pyramid vision transformer and topological data analysis for brain tumor by Dhananjay Joshi, Bhupesh Kumar Singh, Kapil Kumar Nagwanshi, Nitin S. Choubey

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Comment on “Machine learning enhanced analysis of EBSD data for texture representation” by Helmut Schaeben, K. Gerald van den Boogaart

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Ten simple rules for queer data collection and analysis by STEM researchers. by Dori M Grijseels, M Banqueri, Keerthana Iyer, Lee Hanlin, Melanie Ortiz Alvarez de la Campa, David Pagliaccio, Bittu K Rajaraman, Eitan Schechtman, ALBA Network Gender & Sexual Diversity Working Group

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