Showing 8,641 - 8,660 results of 9,922 for search 'open computing', query time: 0.15s Refine Results
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    Developing a Research Center for Artificial Intelligence in Medicine by Curtis P. Langlotz, MD, PhD, Johanna Kim, MPH, MBA, Nigam Shah, MBBS, PhD, Matthew P. Lungren, MD, MPH, David B. Larson, MD, MBA, Somalee Datta, PhD, Fei Fei Li, PhD, Ruth O’Hara, PhD, Thomas J. Montine, MD, PhD, Robert A. Harrington, MD, Garry E. Gold, MD, MS

    Published 2024-12-01
    “…The Center for Artificial Intelligence in Medicine and Imaging uses the following 4 key tactics to support AI/ML research: project-based learning opportunities that build interdisciplinary collaboration; internal grant programs that catalyze extramural funding; infrastructure that facilitates the rapid creation of large multimodal AI-ready clinical data sets; and educational and open data programs that engage the broader research community. …”
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    DEBEcoMod: A dynamic energy budget R tool to predict life-history traits of marine organisms across time and space by A. Giacoletti, M. Bosch-Belmar, G. Di Bona, M.C. Mangano, B. Stechele, G. Sarà

    Published 2024-12-01
    “…DEBEcoMod is an open-source R script designed to apply Dynamic Energy Budget (DEB) theory to predict life-history traits of marine organisms under various environmental and anthropogenic stressors. …”
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  7. 8647

    mimicINT: A workflow for microbe-host protein interaction inference [version 2; peer review: 2 approved] by Andreas Zanzoni, Lilian Drets, Mégane Boujeant, Marceau Cristianini, Christine Brun, Aurélie Bergon, Lionel Spinelli, Kevin Maldonado, Sébastien A. Choteau

    Published 2025-03-01
    “…Methods In this context, we developed mimicINT, an open-source computational workflow for large-scale protein-protein interaction inference between microbe and human by detecting putative molecular mimicry elements mediating the interaction with host proteins: short linear motifs (SLiMs) and host-like globular domains. mimicINT exploits these putative elements to infer the interaction with human proteins by using known templates of domain-domain and SLiM-domain interaction templates. mimicINT also provides (i) robust Monte-Carlo simulations to assess the statistical significance of SLiM detection which suffers from false positives, and (ii) an interaction specificity filter to account for differences between motif-binding domains of the same family. …”
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    Methods for the Construction and Editing of an Efficient Control Network for the Photogrammetric Processing of Massive Planetary Remote Sensing Images by Xin Ma, Chun Liu, Xun Geng, Sifen Wang, Tao Li, Jin Wang, Pengying Liu, Jiujiang Zhang, Qiudong Wang, Yuying Wang, Yinhui Wang, Zhen Peng

    Published 2024-12-01
    “…Next, to effectively reduce the redundant control points in the control network and decrease the computation time required for bundle adjustment, we then proposed a control network-thinning algorithm based on a K-D tree fast search. …”
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    Symmetrized Neural Network Operators in Fractional Calculus: Caputo Derivatives, Asymptotic Analysis, and the Voronovskaya–Santos–Sales Theorem by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales, Gislan Silveira Santos

    Published 2025-06-01
    “…This synergy between neural operator theory, asymptotic analysis, and fractional calculus not only advances the theoretical landscape of function approximation but also provides practical computational tools for addressing complex physical systems characterized by long-range interactions and anomalous diffusion.…”
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    Spinach (<i>Spinacia oleracea</i> L.) Growth Model in Indoor Controlled Environment Using Agriculture 4.0 by Cesar Isaza, Angel Mario Aleman-Trejo, Cristian Felipe Ramirez-Gutierrez, Jonny Paul Zavala de Paz, Jose Amilcar Rizzo-Sierra, Karina Anaya

    Published 2025-03-01
    “…Optimizing vegetable growth using advanced agricultural and computational techniques, addressing challenges in food security, and obtaining efficient resource utilization within urban agriculture systems are open problems for humanity. …”
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    Early results of bare metal extension stent for thoracoabdominal aortic dissectionCentral MessagePerspective by Patrick R. Vargo, MD, Christopher L. Tarola, MD, Emily Durbak, MD, Chang Yoon Doh, BS, Francis J. Caputo, MD, Christopher J. Smolock, MD, Eric E. Roselli, MD

    Published 2022-08-01
    “…On postoperative and follow-up computed tomography, there was a significant increase in false lumen thrombosis (P < .001). …”
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    VeloFHE: GPU Acceleration for FHEW and TFHE Bootstrapping by Shiyu Shen, Hao Yang, Zhe Liu, Ying Liu, Xianhui Lu, Wangchen Dai, Lu Zhou, Yunlei Zhao, Ray C. C. Cheung

    Published 2025-06-01
    “…We further optimize it by refining computational flow to reduce noise from scaling and maintain accumulator compatibility. …”
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    Technical and Financial Impacts on Distribution Systems of Integrating Batteries Controlled by Uncoordinated Strategies by Ronaldo S. Chacon Camargos, Priscilla A. Jua Stecanella, Daniel Vieira, Livia M. De R. Raggi, Fernando C. Melo, Elder G. Domingues, Anesio De L. Ferreira Filho

    Published 2021-01-01
    “…It assumes that the BESS features (location and storage capacity) are chosen by consumers individually, aiming to directly benefit themselves according to self-consumption and price arbitrage uncoordinated control strategies. Computational simulations of several PVDG/BESS penetration levels in residential feeders of a Brazilian utility were performed via OpenDSS, employing real data of the load (consumption and load profiles) and photovoltaic generation (irradiance and temperature). …”
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    Research on Intelligent Control Technology for a Rail-Based High-Throughput Crop Phenotypic Platform Based on Digital Twins by Haishen Liu, Weiliang Wen, Wenbo Gou, Xianju Lu, Hanyu Ma, Lin Zhu, Minggang Zhang, Sheng Wu, Xinyu Guo

    Published 2025-06-01
    “…Rail-based crop phenotypic platforms operating in open-field environments face challenges such as environmental variability and unstable data quality, highlighting the urgent need for intelligent, online data acquisition strategies. …”
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