Risultati della ricerca - distributed evolution (algorithm OR (algorithmics OR algorithmics))

An Information-Theoretic Approach to Identifying Formulaic Clusters in Textual Data di Yoffe, Gideon, Segev, Yair, Sober, Barak

Sommario: “... an information-theoretic algorithm leveraging weighted self-information distributions to detect structured...”
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Data Assimilation for Robust UQ Within Agent-Based Simulation on HPC Systems di Spannaus, Adam, Moon, Sifat Afroj, Gounley, John, Hanson, Heidi A.

Sommario: “... the evolution of an emerging pathogen, this Bayesian framework provides a distribution over the parameters...”
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An Arbitrary-Order Moving-Mesh Finite Element Algorithm for One-Dimensional Implicit Moving Boundary Problems di Hubbard, Matthew E, Radley, Thomas J

Sommario: “.... The method employs a conservative arbitrary Lagrangian-Eulerian approach to predict the evolution...”
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Revealing Unresolved White Dwarf-Main Sequence Binaries using Gaia DR3 and GALEX I. A Volume limited study of 100 pc di Nayak, Prasanta K.

Sommario: “... energy distribution (SED) fitting algorithm within the Virtual Observatory SED Analyzer (VOSA) tool, we...”
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The impact of rotational mixing in intermediate-age star clusters with extended main-sequence turn-offs and extended red clumps di Martinelli, Lorenzo, Miglio, Andrea, Buldgen, Gaël, Schunker, Hannah, Georgy, Cyril, Cordoni, Giacomo, Brogaard, Karsten, Eggenberger, Patrick, Farrell, Eoin

Sommario: “... algorithm to determine the best combination of BSPs to fit the CMDs of two star clusters: the Small...”
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Machine Learning Algorithms for Improving Black Box Optimization Solvers di Kimiaei, Morteza, Kungurtsev, Vyacheslav

Sommario: “...-optimization across tasks. This paper surveys these developments, covering representative algorithms...”
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findAbar: how astronomers may perceive the bar in galaxies differently di Iles, Elizabeth J., Bland-Hawthorn, Joss, Crawford, Courtney, Croom, Scott, Davis, Hillary, Pedersen, May Gade, Green, Anne, Gunawardhana, Madusha, Icaza-Lizaola, Miguel, Johnston, Helen, Kerrison, Emily F., Mai, Yifan, Montet, Benjamin T., Rose, Kovi, Rutherford, Tomas, Saraf, Manasvee, Sirks, Ellen L., Spalding, Eckhart, Tuntipong, Sujeeporn, van de Sande, Jesse, Yamsiri, Pavadol

Sommario: “...Bars are ubiquitous morphological features in the observed distribution of galaxies...”
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Probabilistic Forecasting of Localized Wildfire Spread Based on Conditional Flow Matching di Shaddy, Bryan, Qin, Haitong, Binder, Brianna, Haley, James, Duddalwar, Riya, Hilburn, Kyle, Oberai, Assad

Sommario: “... conditional flow matching algorithm. The approach models fire progression as a stochastic process by learning...”
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Breaking Near-Field Communication Barriers: Focused, Curved, or Airy Beamforming? di Zhang, Shupei, Di, Boya, Song, Lingyang

Sommario: “.... This evolution leads to an expansion of the near-field region, where spherical-wave focusing can significantly...”
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Optimistic Policy Learning under Pessimistic Adversaries with Regret and Violation Guarantees di Ganguly, Sourav, Pandit, Kartik, Ghosh, Arnob

Sommario: “... formulations assume the agent is the sole driver of state evolution, an assumption that breaks down in safety...”
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Deep Learning-Accelerated Dynamic Kinetic Monte Carlo Simulation for Hydrogen Transport in Tungsten di Saito, Seiki, Takeuchi, Keisuke, Nakamura, Hiroaki, Oda, Yasuhiro, Hoshino, Kazuo, Homma, Yuki, Yamoto, Shohei, Uchida, Yuki

Sommario: “... material complexities, such as polycrystalline structures and dynamic evolution under irradiation, being...”
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Artificial Intelligence and Architectural Design Before Generative AI : Artificial Intelligence Algorithmics Approaches 2000–2022 in Review di Ana Cocho‐Bermejo

Sommario: “... the evolution of Artificial Intelligence (AI) applications in the AEC from 2000 to 2022, focusing...”
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Programmatic Ideas and Targeting Metrics: Changes in the Definition of the Target Group of the Human Development Bonus in Ecuador di Wilson Santiago Albuja Echeverría

Sommario: “...‐evolution between efficiency‐oriented programmatic ideas and increasingly sophisticated targeting...”
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Proof of Intent Consensus di Andrews, Ronald Jason

Sommario: “...Canon² — Trust Layer Research Archive. Modern distributed computing has historically relied upon...”
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Systematic Search and Study of Short-Timescale Flare Structures in BL Lac object Gamma-ray Emission di Yu, Jinjie, Ding, Nan, Fan, Junhui, Tang, Yunyong, Cao, Jin

Sommario: “... and HOP algorithm, we identified seven high-quality orbital timescale flare segments from three sources...”
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Timing irregularities and glitches from the pulsar monitoring campaign at IAR di Zubieta, E., Garcia, F., del Palacio, S., Furlan, S. B. Araujo, Gancio, G., Lousto, C. O., Combi, J. A., Espinoza, C. M.

Sommario: “... known as glitches, perturb their evolution. While large glitches are commonly detected, small glitches...”
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Modeling gravitational wave sources in the MillenniumTNG simulations di Marinacci, Federico, Baldi, Marco, Iorio, Giuliano, Artale, M. Celeste, Mapelli, Michela, Springel, Volker, Bose, Sownak, Hernquist, Lars

Sommario: “... during simulations, and post-processing, using snapshots from existing runs. The algorithm is fully...”
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QR-SPPS: Quantum-Native Retail Supply Chain Risk Simulation via VQE, ADAPT-VQE Counterfactual Policy Ranking, and DOS-QPE Boltzmann Tail Risk Quantification di Chongder, Sumit Tapas

Sommario: “... nodes, the full correlated failure distribution requires O(2^n) classical samples, a regime where exact...”
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Performance Analysis and Optimization of Large Caliber Davis Gun Based on Interior Ballistic Two‐Phase Flow Method di Jian Wang, Shenshen Cheng, Xinggan Lu, Ling Tao, Hao Wang

Sommario: “... model for the interior ballistics of the Davis gun and employs a multi‐objective optimization algorithm...”
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Chan–Vese aided fuzzy C‐means approach for whole breast and fibroglandular tissue segmentation: Preliminary application to real‐world breast MRI di Syed Furqan Qadri, Chao Rong, Mubashir Ahmad, Jing Li, Salman Qadri, Syeda Shamaila Zareen, Zeyu Zhuang, Salabat Khan, Hongxiang Lin

Sommario: “...) enable automatic segmentation but may be susceptible to heterogeneity or sparse FGT distribution in MRI...”
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