Showing 1,421 - 1,440 results of 8,891 for search '(competing OR computing) patterns', query time: 0.17s Refine Results
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    Cognitive, language and motor developmental patterns of extremely preterm children up to 2 years of age: a descriptive approach by Erika Jurišová, Lucia Ráczová, Marta Zaťková, Martina Romanová

    Published 2025-07-01
    “…However, these medical achievements are often accompanied by significant challenges in their early and long-term developmental competencies. This longitudinal descriptive study aimed to examine the neurodevelopmental patterns, prevalence of developmental delays, and associated risk factors –gestational age (GA) and birth weight (BW)—in Slovak children born at extremely low gestational age (ELGA), from 7 to 8 months of corrected age to 24–25 months of chronological age, focusing on cognitive, motor, and language development.MethodsThe study included 7 female and 10 male ELGA children with a mean GA of 26.0 weeks (SD = 1.2; range = 24–28) and mean BW of 875.8 grams (SD = 171.2; range = 560–1,150). …”
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  3. 1423
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    Effects of nutritional counseling on dietary patterns in patients with mild cognitive impairment: insights from the BrainFit-Nutrition study by Etienne Hanslian, Etienne Hanslian, Melanie Dell’Oro, Julia K. Schiele, Julia K. Schiele, Farid I. Kandil, Farid I. Kandil, Dzenita Hasanbasic, Dzenita Hasanbasic, Cirus Henn, Elmar Graessel, Julia-Sophia Scheuermann, Petra Scheerbaum, Andreas Michalsen, Andreas Michalsen, Michael Jeitler, Michael Jeitler, Michael Jeitler, Michael Jeitler, Christian S. Kessler, Christian S. Kessler, Christian S. Kessler

    Published 2025-04-01
    “…A decrease in meat, fish, and egg consumption was observed in both groups, with a more marked reduction in the WFPB group.DiscussionThese findings suggest that while targeted dietary interventions can foster healthier dietary patterns among MCI patients, the type of dietary choices may be less impactful for individuals with MCI than participation in dietary interventions in general. …”
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    A High-Efficient Method for Synthesizing Multiple Antenna Array Radiation Patterns Simultaneously Based on Convolutional Neural Network by Shiyuan Zhang, Chuan Shi, Ming Bai

    Published 2023-01-01
    “…The results demonstrate that this method offers the advantage of computational efficiency for simultaneous synthesis of multiple incoherent radiation patterns.…”
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  8. 1428

    Application of a Sparsity Pattern and Region Clustering for Near Field Sparse Approximate Inverse Preconditioners in Method of Moments Simulations by Carlos Delgado, Javier Moreno, Felipe Cátedra

    Published 2017-01-01
    “…A distance parameter is used to determine the sparsity pattern of the preconditioner. The rows of the preconditioner are computed in groups at a time, according to the number of unknowns contained in each region of the geometry. …”
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    Orthopairian fuzzy similarity based on below, above and centre fuzzy sets with applications to pattern recognition and identification of best ISP by Zahid Hussain, Yasmeen Bano, Sahar Abbas, Rashid Hussain, Muhammad Alam

    Published 2024-10-01
    “…Furthermore, to show the competency, reliability and applicability of our proposed similarity measure, we present several examples related to pattern recognition and multicriteria decision making. …”
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  12. 1432

    Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data by Daoye Zhu, Boyong Xiao, Haoling Xie, Dong Li, Haitong He, Weixin Zhai

    Published 2025-08-01
    “…Current research focuses solely on administrative divisions, overlooking the links between machinery movement, natural spatial patterns, and spatiotemporal dependencies. The direct clustering of GNSS points is inefficient and incurs substantial computational costs. …”
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    Core Concepts Behind Quadripartitioned Neutrosophic Soft Block Matrices by S. Ramesh Kumar, A. Stanis Arul Mary

    Published 2025-07-01
    “…The model proves especially valuable for complex decision-making in artificial intelligence, pattern recognition, and fuzzy logic, handling multiple uncertainty layers. …”
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    Evaluating the Impact of Replay-Based Continual Learning on Long-Term sEMG Pattern Recognition in Instance-Incremental Learning by Yuto Okawa, Suguru Kanoga, Takayuki Hoshino, Shin-Nosuke Ishikawa

    Published 2024-01-01
    “…The field of surface electromyogram (sEMG)-based human-computer interfaces is rapidly evolving through the integration of wearable sensors and deep learning models. …”
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    tomoseqr: A Bioconductor package for spatial reconstruction and visualization of 3D gene expression patterns based on RNA tomography. by Ryosuke Matsuzawa, Daichi Kawahara, Makoto Kashima, Hiromi Hirata, Haruka Ozaki

    Published 2025-01-01
    “…RNA tomography computationally reconstructs 3D spatial gene expression patterns genome-widely from 1D tomo-seq data, generated by RNA sequencing of cryosection samples along three orthogonal axes. …”
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