Showing 741 - 760 results of 1,410 for search '"Computational complexity theory', query time: 0.16s Refine Results
  1. 741

    Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions by YiFan Chen, Weng Howe Chan, Eileen Lee Ming Su, Qi Diao

    Published 2025-07-01
    “…Existing algorithms are organised into four families—bio-inspired, mathematical theory-driven, physics-inspired, and machine-learning-enhanced—and benchmarked for computational efficiency, scalability, and scenario suitability across six urban domains: infrastructure, energy, transportation, Internet of Things (IoT)/cloud systems, agriculture, and water management. …”
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    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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    Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation by Xianglin Liu, Kai Yang, Yongxiang Liu, Fanli Zhou, Dengdong Fan, Zongrui Pei, Pengxiang Xu, Yonghong Tian

    Published 2025-08-01
    “…Our results highlight the potential of large-scale, data-driven MC simulations in exploring nanostructure evolution in complex materials, opening new avenues for computationally guided alloy design.…”
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    On the origins of suboptimality in human probabilistic inference. by Luigi Acerbi, Sethu Vijayakumar, Daniel M Wolpert

    Published 2014-06-01
    “…Subjects' performance was in qualitative agreement with the predictions of Bayesian Decision Theory although generally suboptimal. The degree of suboptimality was modulated by statistical features of the priors but was largely independent of the class of the prior and level of noise in the cue, suggesting that suboptimality in dealing with complex statistical features, such as bimodality, may be due to a problem of acquiring the priors rather than computing with them. …”
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    A unified model of heading and path perception in primate MSTd. by Oliver W Layton, N Andrew Browning

    Published 2014-02-01
    “…Our results suggest that spiral motion patterns that emerge in spatio-temporal optic flow are essential for guiding self-motion along complex trajectories, and that cells in MSTd are specifically tuned to extract complex trajectory estimation from flow.…”
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  17. 757

    Accelerating crystal structure search through active learning with neural networks for rapid relaxations by Stefaan S. P. Hessmann, Kristof T. Schütt, Niklas W. A. Gebauer, Michael Gastegger, Tamio Oguchi, Tomoki Yamashita

    Published 2025-02-01
    “…Using this approach, we are able to effectively identify the most promising candidates for further evaluation using density functional theory (DFT). Our method not only reliably reduces computational costs by up to two orders of magnitude across the benchmark systems Si16, Na8Cl8, Ga8As8 and Al4O6 but also excels in finding the most stable minimum for the unseen, more complex systems Si46 and Al16O24. …”
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    The dynamic brain: from spiking neurons to neural masses and cortical fields. by Gustavo Deco, Viktor K Jirsa, Peter A Robinson, Michael Breakspear, Karl Friston

    Published 2008-08-01
    “…The cortex is a complex system, characterized by its dynamics and architecture, which underlie many functions such as action, perception, learning, language, and cognition. …”
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