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Multi-objective optimization for smart cities: a systematic review of algorithms, challenges, and future directions
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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743
Exploring the transmission of cognitive task information through optimal brain pathways.
Published 2025-03-01Get full text
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744
DPmoire: a tool for constructing accurate machine learning force fields in moiré systems
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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745
Quantification of nematic cell polarity in three-dimensional tissues.
Published 2020-12-01Get full text
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750
Revealing nanostructures in high-entropy alloys via machine-learning accelerated scalable Monte Carlo simulation
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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751
Massive discovery of crystal structures across dimensionalities by leveraging vector quantization
Published 2025-06-01Get full text
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752
Post-Turing tissue pattern formation: Advent of mechanochemistry.
Published 2018-07-01Get full text
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753
The Eps8/IRSp53/VASP network differentially controls actin capping and bundling in filopodia formation.
Published 2011-07-01Get full text
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754
On the origins of suboptimality in human probabilistic inference.
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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755
Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design
Published 2024-10-01Get full text
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756
A unified model of heading and path perception in primate MSTd.
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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Accelerating crystal structure search through active learning with neural networks for rapid relaxations
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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758
Subgraphs of functional brain networks identify dynamical constraints of cognitive control.
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759
The dynamic brain: from spiking neurons to neural masses and cortical fields.
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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760
Comparing XAI techniques for interpreting short-term burglary predictions at micro-places
Published 2025-05-01Get full text
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