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Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics
Published 2025-01-01“…The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, where data scarcity and confidentiality constraints limit model training. …”
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A Semi-Supervised Deep Network Embedding Approach Based on the Neighborhood Structure
Published 2019-09-01Get full text
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Modelling of Correlated Ordinal Responses, by Using Multivariate Skew Probit with Different Types of Variance Covariance Structures
Published 2019-11-01“…The Schizophrenia Collaborative Study data invokes the proposed MFSN model. The results confirm that the first-order autoregressive (AR(1)) structure substantially enhances the estimation of the parameters. …”
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Multifunctional TPMS-based interpenetrating phase composites: A comprehensive review of structure, properties, piezoelectricity and applications
Published 2025-07-01“…It highlights their pivotal role in advancing technology and addressing contemporary challenges while illuminating the uncharted possibilities presented by TPMS cellular structures in the dynamic landscape of 3D printing.…”
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A Bibliometric Analysis of International Structural Engineering Standards Using VOS Viewer
Published 2025-02-01“…The outcome indicates that “standards” and “structure” are still trending topics in global discourse. …”
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Dataset for evaluation and numerical modelling of structural performance of fibre-reinforced shotcrete with fibres of steel, synthetic and basaltMendeley Data
Published 2025-08-01“…This could be used to get an indication of the required dosage of each fibre type to fulfil structural requirements. The raw data from the test machine is valuable for the numerical modelling of fibre-reinforced shotcrete. …”
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Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions
Published 2025-01-01“…Additionally, the proposed structure is shown to offer advantages over the conventional structure in terms of current variation.…”
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Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review.
Published 2024-01-01“…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt
Published 2025-06-01“…To achieve this goal, Bouguer gravity and aeromagnetic data were used, processed and analyzed. Various depth estimation techniques were employed to analyze subsurface structures, each offering distinct advantages. …”
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Studying the radial structure of the poloidal Alfvén resonator by the method of phase portraits from Van Allen Probes satellite data
Published 2025-06-01“…From comparison of theoretical calculations of the structure of transverse magnetic field components with observational data, we put forward an assumption that the second and fourth harmonics of the poloidal resonator make the main contribution to the observed oscillations.…”
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Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study
Published 2025-01-01“…This study rigorously investigates cobalt chloride doped hydroxypropyl methylcellulose composite films, taking a significant step toward understanding structure property relations. The aim is to develop biodegradable yet conductive polymer composites by meticulously examining the effects of incorporating a metal salt like cobalt chloride. …”
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A multi-stage algorithm based on data structure to deal challenges facing electric-supply restoration in smart grids
Published 2025-06-01Subjects: Get full text
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Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study
Published 2024-11-01“…Objectives: To reconstruct age-structured case counts of COVID-19 using sentinel reporting, which replaced universal reporting of COVID-19 from May 2023 in Japan. …”
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SV-MeCa: an XGBoost-based meta-caller approach for structural variant calling from short-read data
Published 2025-08-01“…Abstract Background Calling structural variants (SVs), i.e., genomic alterations of $$\ge $$ 50bp, from whole genome short-read data remains challenging, as existing callers are known to lack accuracy and robustness. …”
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