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

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

Sommario: “... an important role in understanding the star formation process, early stellar evolution, and Galactic evolution...”
Testo

Discovering Causal Structure with Reproducing-Kernel Hilbert Space $ε$-Machines di Brodu, Nicolas, Crutchfield, James P.

Sommario: “... evolution operator. Paralleling the Fokker-Plank equation, it efficiently evolves causal-state distributions...”
Testo

The LHCb ultra-fast simulation option, Lamarr: design and validation di 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

Sommario: “... options. An evolution of technologies and techniques to produce simulated samples is mandatory to meet...”
Testo

Digging into the Interior of Hot Cores with ALMA (DIHCA). IV. Fragmentation in High-mass Star-Forming Clumps di 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

Sommario: “...Fragmentation contributes to the formation and evolution of stars. Observationally, high-mass stars...”
Testo

Fully-discrete provably Lyapunov consistent discretizations for convection-diffusion-reaction PDE systems di Jahdali, Rasha Al, Fernandez, David C. Del Rey, Dalcin, Lisandro, Parsani, Matteo

Sommario: “.../species distributed in space. Understanding and preserving their stability properties in numerical...”
Testo

HybridTrack: A Hybrid Approach for Robust Multi-Object Tracking di Di Bella, Leandro, Lyu, Yangxintong, Cornelis, Bruno, Munteanu, Adrian

Sommario: “...The evolution of Advanced Driver Assistance Systems (ADAS) has increased the need for robust...”
Testo

Adaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network Protection di Ahmadi, Sina

Sommario: “...The growing complexity of cyber attacks has necessitated the evolution of firewall technologies...”
Testo

The pseudo-analytical density solution to parameterized Fokker-Planck equations via deep learning di Wang, Xiaolong, Feng, Jing, Wang, Gege, Li, Tong, Xu, Yong

Sommario: “... evolution of stochastic particles in dynamical systems, however, analytical solutions or density functions...”
Testo

Multimodal Online Federated Learning with Modality Missing in Internet of Things di Wang, Heqiang, Liu, Xiang, Zhong, Xiaoxiong, Chen, Lixing, Liu, Fangming, Zhang, Weizhe

Sommario: “... tasks. This evolution necessitates the adoption of distributed learning strategies to effectively handle...”
Testo

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration di Ahmed, Faisal, Lee, Myungjin, Lien, Shao-Yu, Subramaniam, Suresh, Matsuura, Motoharu, Hasegawa, Hiroshi, Lin, Shih-Chun

Sommario: “...The rapid evolution of Industry 4.0 has led to the emergence of smart factories, where multirobot...”
Testo

Parkes transient events: II. Pulsar single pulses database containing raw data segment di Yang, Xuan, Zhang, S. B., Tang, Le-Yu, Toomey, L., Wu, Xue-Feng

Sommario: “... exhibit diverse fluence distributions, such as log-normal, Gaussian, and unimodal. Temporal analyses...”
Testo

Virgo Filaments VI: H$α$ clumps in the filaments around the Virgo galaxy cluster di 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.

Sommario: “... to a more complete picture of galaxy evolution. To investigate them, we need large galaxy samples...”
Testo

Dynamic Quantum Optimal Communication Topology Design for Consensus Control in Linear Multi-Agent Systems di Hasanzadeh, Milad, Kargarian, Amin

Sommario: “... 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 di Yi Shen, Tao He, Jiangkai Feng

Sommario: “... considering wear evolution based on mixed elastohydrodynamic lubrication (EHL) and Archard models, in which...”
Testo

Large Deviations for Empirical Measures of Self-Interacting Markov Chains di Budhiraja, Amarjit, Waterbury, Adam, Zoubouloglou, Pavlos

Sommario: “...$, 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...”
Testo

Protocol as Poetry: A Case Study of Pak's Smart Contract-Based Protocol Art di Hu, Botao Amber

Sommario: “... 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 di Hao, Qianyue, Song, Yiwen, Liao, Qingmin, Yuan, Jian, Li, Yong

Sommario: “... exploration. Moreover, during RL training, the evolution of such stochastic processes is rigid, which...”
Testo

Gaia DR3 Analysis of Four Open Clusters Toward the Galactic Anticenter di Bilir, Selçuk, Taşdemir, Seval, Eraydın, Ege, Çınar, Deniz Cennet, Alfonso, Jeison, Canbay, Remziye

Sommario: “... and their physical properties. Membership determination was performed using the UPMASK algorithm applied to a five...”
Testo

AI-Driven Phase Identification from X-ray Hyperspectral Imaging of cycled Na-ion Cathode Materials di Adrar, Fayçal, Folastre, Nicolas, Pablos, Chloé, Stanescu, Stefan, Swaraj, Sufal, Raghvender, Raghvender, Cadiou, François, Croguennec, Laurence, Bugnet, Matthieu, Demortière, Arnaud

Sommario: “... 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 di Sungwook Kim

Sommario: “... integrates a distributional reinforcement learning algorithm and three distinct one‐to‐many bargaining...”
Testo