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  1. 8961

    Evaluation of the soft error assessment consistency of a JIT‐based virtual platform simulator by Geancarlo Abich, Rafael Garibotti, Vitor Bandeira, Felipe da Rosa, Jonas Gava, Felipe Bortolon, Guilherme Medeiros, Fernando G. Moraes, Ricardo Reis, Luciano Ost

    Published 2021-03-01
    “…Abstract Soft error resilience has become an essential design metric in electronic computing systems as advanced technology nodes have become less robust to high‐charged particle effects. …”
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  2. 8962

    Full-length ribosome density prediction by a multi-input and multi-output model. by Tingzhong Tian, Shuya Li, Peng Lang, Dan Zhao, Jianyang Zeng

    Published 2021-03-01
    “…Most of the existing computational approaches for modeling translation elongation from ribosome profiling data mainly focus on local contextual patterns, while ignoring the continuity of the elongation process and relations between ribosome densities of remote codons. …”
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  3. 8963
  4. 8964

    Identifying and Prioritizing the Opportunities and Challenges of Artificial Intelligence in Knowledge Management Based on the Hicks' Model Using the Gray Relationship Analysis Meth... by Jalal Rezaeenour, Bent-ol hoda khabbazan

    Published 2024-03-01
    “…The experts of this study are 15 experts in artificial intelligence, computer and knowledge management. The research sampling method is judgmental and the samples were selected based on expertise and the research criteria were extracted from the review of internal and external studies in the field of artificial intelligence and knowledge management. …”
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  5. 8965
  6. 8966

    Feasibility Study of Ontological Development Using Semi-Automatic Method based on Lexical Frequency Analysis: A Case Study of “glaucoma” by Somayeh Tamjid, Fatemeh Nooshinfard, Moluk S. Hoseini Beheshti, nadjla Hariri, Fahimeh Babolhavaeji

    Published 2023-09-01
    “…Furthermore, ontologies make natural language processing approaches more feasible by reducing semantic ambiguity and making concepts comprehensible to computer-based deductions. …”
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  7. 8967
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  14. 8974

    DPmoire: a tool for constructing accurate machine learning force fields in moiré systems by Jiaxuan Liu, Zhong Fang, Hongming Weng, Quansheng Wu

    Published 2025-08-01
    “…Our approach not only streamlines the computational process but also ensures accurate replication of the detailed electronic and structural properties typically observed in density functional theory (DFT) relaxations. …”
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  15. 8975
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  18. 8978

    Mechanisms of mistrust: A Bayesian account of misinformation learning. by Lion Schulz, Yannick Streicher, Eric Schulz, Rahul Bhui, Peter Dayan

    Published 2025-05-01
    “…We formalize inference in this setting as a doubly Bayesian learning process where agents simultaneously learn about the ground truth as well as the qualities of an information source reporting on this ground truth. …”
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  19. 8979

    Accelerating structure relaxation in chemically disordered materials with a chemistry-driven model by Liying An, Huan Ma, Jinjia Liu, Wenping Guo, Xiaodong Wen

    Published 2025-07-01
    “…This algorithm constructs harmonic potential with chemistry-driven parameterization, without relying on iterative training to accelerate the relaxation process. It can completely bypass the need for relaxation with ab initio calculations in rigid systems and reduce computational costs by 30% in flexible systems. …”
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  20. 8980