Search Results - distributes evolution (algorithm OR (algorithmics OR Algorithmssics))

Identification of OB associations using the LAMOST-Gaia OB star sample by Liu, Zhicun, Wang, Xiao-Long, Cui, Wenyuan, Shi, Jianrong, Liu, Chao, Xue, Xiang-Xiang, Fang, Min, Huang, Yang, Hu, Guozhen, Zhao, Gang

Table of Contents: “… an important role in understanding the star formation process, early stellar evolution, and Galactic evolution…”
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Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$-Machines by Brodu, Nicolas, Crutchfield, James P.

Table of Contents: “… evolution operator. Paralleling the Fokker-Plank equation, it efficiently evolves causal-state distributions…”
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The LHCb ultra-fast simulation option, Lamarr: design and validation by Anderlini, Lucio, Barbetti, Matteo, Capelli, Simone, Corti, Gloria, Davis, Adam, Derkach, Denis, Kazeev, Nikita, Maevskiy, Artem, Martinelli, Maurizio, Mokonenko, Sergei, Siddi, Benedetto Gianluca, Xu, Zehua

Table of Contents: “… options. An evolution of technologies and techniques to produce simulated samples is mandatory to meet…”
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Digging into the Interior of Hot Cores with ALMA (DIHCA). IV. Fragmentation in High-mass Star-Forming Clumps by Ishihara, Kosuke, Sanhueza, Patricio, Nakamura, Fumitaka, Saito, Masao, Chen, Huei-Ru V., Li, Shanghuo, Olguin, Fernando, Taniguchi, Kotomi, Morii, Kaho, Lu, Xing, Luo, Qiuyi, Sakai, Takeshi, Zhang, Qizhou

Table of Contents: “…Fragmentation contributes to the formation and evolution of stars. Observationally, high-mass stars…”
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Fully-discrete provably Lyapunov consistent discretizations for convection-diffusion-reaction PDE systems by Jahdali, Rasha Al, Fernandez, David C. Del Rey, Dalcin, Lisandro, Parsani, Matteo

Table of Contents: “…/species distributed in space. Understanding and preserving their stability properties in numerical…”
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HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking by Di Bella, Leandro, Lyu, Yangxintong, Cornelis, Bruno, Munteanu, Adrian

Table of Contents: “…The evolution of Advanced Driver Assistance Systems (ADAS) has increased the need for robust…”
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Adaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network Protection by Ahmadi, Sina

Table of Contents: “…The growing complexity of cyber attacks has necessitated the evolution of firewall technologies…”
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The pseudo-analytical density solution to parameterized Fokker-Planck equations via deep learning by Wang, Xiaolong, Feng, Jing, Wang, Gege, Li, Tong, Xu, Yong

Table of Contents: “… evolution of stochastic particles in dynamical systems, however, analytical solutions or density functions…”
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Multimodal Online Federated Learning with Modality Missing in Internet of Things by Wang, Heqiang, Liu, Xiang, Zhong, Xiaoxiong, Chen, Lixing, Liu, Fangming, Zhang, Weizhe

Table of Contents: “… tasks. This evolution necessitates the adoption of distributed learning strategies to effectively handle…”
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Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration by Ahmed, Faisal, Lee, Myungjin, Lien, Shao-Yu, Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, Lin, Shih-Chun

Table of Contents: “…The rapid evolution of Industry 4.0 has led to the emergence of smart factories, where multirobot…”
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Parkes transient events: II. Pulsar single pulses database containing raw data segment by Yang, Xuan, Zhang, S. B., Tang, Le-Yu, Toomey, L., Wu, Xue-Feng

Table of Contents: “… exhibit diverse fluence distributions, such as log-normal, Gaussian, and unimodal. Temporal analyses…”
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Virgo Filaments VI: H$α$ clumps in the filaments around the Virgo galaxy cluster by Nagaraj, G., Jablonka, P., Finn, R. A., Bahé, Y. M., Combes, F., Castignani, G., Vulcani, B., Rudnick, G., Zakharova, D., Koopmann, R. A., Zaritsky, D., Conger, K.

Table of Contents: “… to a more complete picture of galaxy evolution. To investigate them, we need large galaxy samples…”
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Dynamic Quantum Optimal Communication Topology Design for Consensus Control in Linear Multi-Agent Systems by Hasanzadeh, Milad, Kargarian, Amin

Table of Contents: “… binary optimization (QUBO) Hamiltonian and approximately solved via quantum imaginary time evolution…”
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Wear Simulations of Involute Harmonic Gear Under Mixed Lubrication Condition by Yi Shen, Tao He, Jiangkai Feng

Table of Contents: “… considering wear evolution based on mixed elastohydrodynamic lubrication (EHL) and Archard models, in which…”
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Large Deviations for Empirical Measures of Self-Interacting Markov Chains by Budhiraja, Amarjit, Waterbury, Adam, Zoubouloglou, Pavlos

Table of Contents: “…$, the conditional distribution of $X_{n+1}$ is $G(L^{n+1})(X_n, \cdot)$, where $L^{n+1} = \frac{1}{n+1} \sum_{i=0…”
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Protocol as Poetry: A Case Study of Pak's Smart Contract-Based Protocol Art by Hu, Botao Amber

Table of Contents: “… century-long lineage of conceptual, participatory, interactive, systematic, algorithmic, and generative…”
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LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models by Hao, Qianyue, Song, Yiwen, Liao, Qingmin, Yuan, Jian, Li, Yong

Table of Contents: “… exploration. Moreover, during RL training, the evolution of such stochastic processes is rigid, which…”
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Gaia DR3 Analysis of Four Open Clusters Toward the Galactic Anticenter by Bilir, Selçuk, Taşdemir, Seval, Eraydın, Ege, Çınar, Deniz Cennet, Alfonso, Jeison, Canbay, Remziye

Table of Contents: “… and their physical properties. Membership determination was performed using the UPMASK algorithm applied to a five…”
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AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials by Adrar, Fayçal, Folastre, Nicolas, Pablos, Chloé, Stanescu, Stefan, Swaraj, Sufal, Raghvender, Raghvender, Cadiou, François, Croguennec, Laurence, Bugnet, Matthieu, Demortière, Arnaud

Table of Contents: “… to determine the distribution and coexistence of phases in individual particles of NaxV2(PO4)2F3 cathode…”
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Intelligent Wireless Spectrum Sharing Framework for LAA‐LTE/WiFi Coexistence Systems by Sungwook Kim

Table of Contents: “… integrates a distributional reinforcement learning algorithm and three distinct one‐to‐many bargaining…”
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