Coherence: a new approach for analyzing interrelated serial data by Rebekka Mumm, Detlef Groth, Michael Hermanussen

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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

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Anomaly detection of large scale network based on data streams by ZHENG Jun, HU Ming-zeng, YUN Xiao-chun, ZHENG Zhong

Subjects: “…anomaly detection;data streams;large scale network;bursty frequent event;sketch data structure…”
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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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Investigating heterogeneity across autism, ADHD, and typical development using measures of cortical thickness, surface area, cortical/subcortical volume, and structural covariance by Younes Sadat-Nejad, Younes Sadat-Nejad, Marlee M. Vandewouw, Marlee M. Vandewouw, R. Cardy, J. Lerch, J. Lerch, J. Lerch, M. J. Taylor, M. J. Taylor, A. Iaboni, C. Hammill, B. Syed, J. A. Brian, J. A. Brian, E. Kelley, E. Kelley, E. Kelley, M. Ayub, J. Crosbie, J. Crosbie, R. Schachar, R. Schachar, S. Georgiades, R. Nicolson, E. Anagnostou, E. Anagnostou, A. Kushki, A. Kushki

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Limit Theorems for Kernel Regression Estimator for Quasi-Associated Functional Censored Time Series Within Single Index Structure by Said Attaoui, Oum Elkheir Benouda, Salim Bouzebda, Ali Laksaci

“…In this paper, we develop kernel-based estimators for regression functions under a functional single-index model, applied to censored time series data. By capitalizing on the single-index structure, we reduce the dimensionality of the covariate-response relationship, thereby preserving the ability to capture intricate dependencies while maintaining a relatively parsimonious form. …”
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ItemComplex: A Python-based visualization framework for ex-post organization and integration of large language-based datasets by Karina Janson, Karl Gottfried, Olaf Reis, Johannes Kornhuber, Anna Eichler, Michael Deuschle, Tobias Banaschewski, Frauke Nees, IMAC-Mind Consortium

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Design and Validation of the MANTiS-32 Wireless Monitoring System for Real-Time Performance-Based Structural Assessment by Jaehoon Lee, Geonhyeok Bang, Yujae Lee, Gwanghee Heo

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Analysis of 19-inch and metric mechanical structures for electronic equipment by A. A. Yefimenko, A. P. Karlangach

“…To compare these two systems, we have selected parameters which make it possible to make a quantitative assessment and can be calculated on the basis of the data from standards for such mechanical structures. …”
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Changes in Consumer Food Preferences in EU Countries from 2001-2013 by Grzegorz Koszela, Luiza Ochnio

Subjects: “…dissimilarity of structures…”
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Reconfigurable Silicon Photonic Processor Based on SCOW Resonant Structures by Liangjun Lu, Lin Shen, Wei Gao, Linjie Zhou, Jianping Chen

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Non-parametric correlation structures and their respective embeddings in predictive analysis by Adam Dudáš

“…These models are implemented in Python language to ensure broad accessibility and integration into existing data analysis pipelines. Once implemented, the concept of embedding non-parametric correlation chains within non-parametric correlation graphs is explored to enhance the interpretability of correlation structures of a dataset. …”
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Analysis of the current state of unstable geomorphological structures with modern methods by Vyacheslav V. Dolotov, Yuri N. Goryachkin, Andrey V. Dolotov

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Variable Selection for Additive Quantile Regression with Nonlinear Interaction Structures by Yongxin Bai, Jiancheng Jiang, Maozai Tian

“…In high-dimensional data analysis, main effects and interaction effects often coexist, especially when complex nonlinear relationships are present. …”
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GWAS Procedures for Gene Mapping in Diverse Populations With Complex Structures by Zhen Zuo, Mingliang Li, Defu Liu, Qi Li, Bin Huang, Guanshi Ye, Jiabo Wang, You Tang, Zhiwu Zhang

“…With reduced genotyping costs, genome-wide association studies (GWAS) face more challenges in diverse populations with complex structures to map genes of interest. The complex structure demands sophisticated statistical models, and increased marker density and population size require efficient computing tools. …”
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The use of digital technologies in assessing the technical condition of historic structures by Bartosz Szostak, Michał Wac

“… This article explores the use of modern digital technologies, such as 3D scanning and photogrammetry, in assessing the technical condition of historic structures. It compares traditional and digital inventory methods, emphasising the advantages of the latter in the precise and rapid acquisition of spatial data. …”
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Models and methods for analyzing complex networks and social network structures by Ju. P. Perova, V. P. Grigoriev, D. O. Zhukov

“…Special attention is paid to data processing in complex network structures using the Python language and its various available libraries.Results. …”
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Optimal Selection of Steel and Concrete Structures using ELECTERE Method by Fatemeh Behdadfar, Gholam Reza Abdolah Zadeh

“…Finally, after the data collection, the most appropriate structure has been introduced using ELECTERE method. …”
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DEVELOPMENT OF A METHOD FOR ANALYZING TOMOGRAPHIC IMAGES OF BONE STRUCTURES by Hanna Abramova, Oleh Avrunin

“…For the development of methods for the analysis of tomographic images with lesion of the bone structure, one of the fundamental issues is visualization of tomographic data. …”
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Vertical Electrolyte‐Gated Transistors: Structures, Materials, Integrations, and Applications by Bin Bao, Ting Zhang, Junlei Xie, Jin Wu, Gang He, Lang Jiang, Yanlin Song, Shouguo Wang

“…Abstract Biological synapse‐inspired electrolyte‐gated transistors have received broad attention recently as a competitive candidate for constructing artificial intelligence (AI) systems to meet the data memorizing and processing challenges brought by the big data era. …”
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