Risultati della ricerca - distributed evolution (Algorithmsssic OR algorithm)

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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Charting the Intelligence Frontiers – Edge AI Systems Nexus

Sommario: “... the complexities of advanced algorithms and the design of novel edge AI hardware accelerators to the architecture...”
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Evaluating the Presence of a Physiologic Ceiling in Amyloid Trajectories: Insights from the Sampled Iterative Local Approximation (SILA) Algorithm and Simulations di Sarah F Ackley, Jason R. Gantenberg, Margo B. Heston, Renaud La Joie

Sommario: “... approximation (SILA), a nonparametric algorithm that estimates trajectories with data reflecting differential...”
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Evaluating the Presence of a Physiologic Ceiling in Amyloid Trajectories: Insights from the Sampled Iterative Local Approximation (SILA) Algorithm and Simulations di Sarah F Ackley, Jason R. Gantenberg, Margo B. Heston, Renaud La Joie

Sommario: “... approximation (SILA), a nonparametric algorithm that estimates trajectories with data reflecting differential...”
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Robust pore-resolved CFD through porous monoliths reconstructed by micro-computed tomography: From digitization to flow prediction di Guévremont, Olivier, Barbeau, Lucka, Moreau, Vaiana, Galli, Federico, Virgilio, Nick, Blais, Bruno

Sommario: “... of their structure on flow characteristics, but is limited by the performance of mesh generation algorithms...”
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How do supernova remnants cool? II. Machine learning analysis of supernova remnant simulations di Smirnova, P., Makarenko, E. I., Clarke, S. D., Glukhov, E., Walch, S., Vaezzadeh, I., Seifried, D.

Sommario: “... of synthetic observations using principle component analysis to identify clusters with the k-means algorithm...”
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Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization di Chen, Zhongwei, Yang, Zhao-Xu, Rong, Hai-Jun, Li, Guoqi

Sommario: “... are typically required to adapt to the distribution changes. The high cost of annotation and the limited...”
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Linking Young Stellar Object Morphology to Evolutionary Stages with Self-Organizing Maps di Hernandez, David, Dionatos, Odysseas, Audard, Marc, Marton, Gábor, Roquette, Julia, Gezer, Ilknur, Madarász, Máté, Polsterer, Kai L.

Sommario: “...Studies in the past few decades have investigated young stellar object evolution based...”
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Logic-Driven Semantic Communication for Resilient Multi-Agent Systems di Alshammari, Tamara, Bennis, Mehdi

Sommario: “... multi-agent systems (MAS). While this evolution enables adaptive behavior, it also heightens...”
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Chance-Constrained Secrecy Optimization in Hybrid RIS-Empowered and UAV-Assisted Networks di Diallo, Elhadj Moustapha, Diallo, Mamadou Aliou, Adam, Abusaeed B. M., Shah, Muhammad Naeem

Sommario: “...-induced covariance evolution, outdoor-indoor penetration losses, and distortion-aware noise due...”
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EvoCodeBench: A Human-Performance Benchmark for Self-Evolving LLM-Driven Coding Systems di Zhang, Wentao, Wang, Jianfeng, Liang, Liheng, Zhao, Yilei, Wen, HaiBin, Zhao, Zhe

Sommario: “... fixed model capability during inference. As a result, they do not capture inference-time self-evolution...”
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Large-scale environments of star-forming active galactic nuclei: How black hole mass, accretion rate, and luminosity connect to dark matter halos di Mountrichas, G., Carrera, F. J., Shankar, F., Georgakakis, A.

Sommario: “... in shaping AGN activity is essential for constraining models of black-hole growth and galaxy evolution. We...”
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Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision di He, Yinghui, Kaur, Simran, Bhaskar, Adithya, Yang, Yongjin, Liu, Jiarui, Ri, Narutatsu, Fowl, Liam, Panigrahi, Abhishek, Chen, Danqi, Arora, Sanjeev

Sommario: “... the reviser's token distributions conditioned on the generator's response and its reward as supervision...”
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MULTI-WAVELENGTH MODELLING OF DUSTY GALAXIES. GRASIL AND APPLICATIONS di L. Silva

Sommario: “... distribution of galaxies contains a convolved information on their stellar and gas content, on the star...”
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A General Simulation‐Based Optimisation Framework for Multipoint Constant‐Stress Accelerated Life Tests di Owen McGrath, Kevin Burke

Sommario: “...) and evaluating the allocation of test units. We obtain optimal test plans by utilising the differential evolution...”
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An empirical investigation of the relationship between pattern grime and code smells di Maha Alharbi, Mohammad Alshayeb

Sommario: “... good design practices to maintain good software quality during the system's evolution. However, some...”
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Deep SVBRDF Acquisition and Modelling: A Survey di Behnaz Kavoosighafi, Saghi Hajisharif, Ehsan Miandji, Gabriel Baravdish, Wen Cao, Jonas Unger

Sommario: “... development of machine learning, deep learning and generative AI algorithms and architectures, the graphics...”
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Insight into the physical processes that shape the metallicity profiles in galaxies di Tapia-Contreras, Brian, Tissera, Patricia B., Sillero, Emanuel, Gonzalez-Jara, Jenny, Casanueva-Villarreal, Catalina, Pedrosa, Susana, Bignone, Lucas, Padilla, Nelson D., Domínguez-Tenreiro, Rosa

Sommario: “...The distribution of chemical elements in the star-forming regions can store information...”
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Weak-lensing tunnel voids in simulated light cones: A new pipeline to investigate modified gravity and massive neutrinos signatures di Maggiore, Leonardo, Contarini, Sofia, Giocoli, Carlo, Moscardini, Lauro

Sommario: “... and are sensitive to unbiased matter distribution. To investigate this, we developed an efficient pipeline...”
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R-process heating implementation in hydrodynamic simulations with neural networks di Just, Oliver, Xiong, Zewei, Martínez-Pinedo, Gabriel

Sommario: “... algorithms. The method requires the evolution of only a few additional quantities characterizing...”
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