Risultati della ricerca - distributed evolution (algorithm OR Algorithmssic)

Federated Digital Twin Construction via Distributed Sensing: A Game-Theoretic Online Optimization with Overlapping Coalitions di Chen, Ruoyang, Yi, Changyan, Zhou, Fuhui, Kang, Jiawen, Wu, Yuan, Niyato, Dusit

Sommario: “... by distributed sensing under edge-cloud collaboration. In this framework, the DT model to be built at the cloud...”
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Evolution of recursive trees with limited memory di Angel, Omer, Bhamidi, Shankar, Donderwinkel, Serte, Maitra, Neeladri, Sakanaveeti, Akshay

Sommario: “...Motivated by questions in social networks, distributed computing and probabilistic combinatorics...”
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Particle filter‐based prognostics for composite curing process di Aravind Balaji, David Dumas, Olivier Pierard, Claudio Sbarufatti, Francesco Cadini

Sommario: “... posterior distribution of cure evolution is recursively approximated based on observed measurements from...”
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Stability and Reactive Power Sharing Enhancement in Islanded Microgrid via Small-Signal Modeling and Optimal Virtual Impedance Control di Ilyas Bennia, Yacine Daili, Abdelghani Harrag, Hasan Alrajhi, Abdelhakim Saim, Josep M. Guerrero

Sommario: “... technology for Smart-Grid evolution. Despite advancements in control techniques, challenges persist...”
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Dynamic Zoning And API Integration In Robotic Fulfillment Systems: A Case Study In Omni-Channel Warehouse Optimization di Srinivasarao Challagundla

Sommario: “... represents a critical evolution in contemporary supply chain management, driven by the convergence of dynamic...”
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Simple Opinion Dynamics for No-Regret Learning di Lazarsfeld, John, Alistarh, Dan

Sommario: “...We study a cooperative multi-agent bandit setting in the distributed GOSSIP model: in every round...”
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Phase transitions in sampling and error correction in local Brownian circuits di Sahu, Subhayan, Jian, Shao-Kai

Sommario: “... Brownian circuits. The dynamics of circuit averaged moments of the probability distribution and entropies...”
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Drone-Enabled Load Management for Solar Small Cell Networks in Next-Gen Communications Optimization for Solar Small Cells di Dave, Daksh, Khut, Dhruv, Nawale, Sahil, Aggrawal, Pushkar, Rastogi, Disha, Devadkar, Kailas

Sommario: “...In recent years, the cellular industry has witnessed a major evolution in communication...”
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FilterPrompt: A Simple yet Efficient Approach to Guide Image Appearance Transfer in Diffusion Models di Wang, Xi, Peng, Yichen, Fang, Heng, Wang, Yilin, Xie, Haoran, Yang, Xi, Li, Chuntao

Sommario: “... within feature space. However, the complex distribution present in real-world data often makes...”
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Poor-Supervised Evaluation for SuperLLM via Mutual Consistency di Yuan, Peiwen, Feng, Shaoxiong, Li, Yiwei, Wang, Xinglin, Pan, Boyuan, Wang, Heda, Hu, Yao, Li, Kan

Sommario: “... between it and certain reference model, when their prediction distributions are independent and the sample...”
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Machine learning based stellar classification with highly sparse photometry data di Cody, Sean Enis, Scher, Sebastian, McDonald, Iain, Zijlstra, Albert, Alexander, Emma, Cox, Nick L. J.

Sommario: “...) method XGBoost and the PySSED spectral-energy-distribution fitting algorithm to classify stars into nine...”
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Stellar parameters, extinction, and distances for stars in SMSS DR2 by SPar method di Sun, Mingxu, Chen, Bingqiu, Sun, Baokun, Wang, Tao, Yu, Zheng, Zhang, Baisong, Zhang, Lin, Bao, Yuxi, Zeng, Guangya, Yang, Ming, Cui, Wenyuan

Sommario: “... understanding of the Galaxy's stellar populations, structure, kinematics, and chemical evolution. In this study...”
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RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget di Piaseczny, Adam, Shisher, Md Kamran Chowdhury, Wang, Shiqiang, Brinton, Christopher G.

Sommario: “...Machine learning (ML) algorithms deployed in real-world environments are often faced...”
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INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization di Algazinov, Aleksandr, Chandra, Joydeep, Laing, Matt

Sommario: “... in-network computation for AI, exploring the evolution of programmable network architectures...”
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Probing jet-medium interactions via jet substructure observables in relativistic heavy-ion collisions di Duan, Xiang-Pan, Luo, Tan, Ma, Guo-Liang

Sommario: “...}}$) are reconstructed using the Soft Drop algorithm with two grooming parameter settings. With $z_\text{cut} = 0.1...”
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Adacc: An Adaptive Framework Unifying Compression and Activation Recomputation for LLM Training di Chen, Ping, Deng, Zhuohong, Li, Ping, He, Shuibing, Zhu, Hongzi, Zheng, Yi, Wang, Zhefeng, Huai, Baoxing, Guo, Minyi

Sommario: “... challenges: (1) it introduces layer-specific compression algorithms that mitigate accuracy loss by accounting...”
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Secure Transmission for Cell-Free Symbiotic Radio Communications with Movable Antenna: Continuous and Discrete Positioning Designs di Lyu, Bin, Guan, Jiayu, Hua, Meng, You, Changsheng, Mao, Tianqi, Jamalipour, Abbas

Sommario: “... deployed at distributed access points (APs) work collaboratively with the RIS to establish high-quality...”
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Quantification of the cascading tipping probability from the AMOC to the Amazon rainforest di Jacques-Dumas, Valérian, Dijkstra, Henk A.

Sommario: “... into the mechanisms behind the tipping cascade, we also analyze the dynamics of both systems and their evolution...”
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Optimizing Scalar Selection in Elliptic Curve Cryptography Using Differential Evolution for Enhanced Security di Haider, Takreem

Sommario: “... method that explicitly maximizes bit-level entropy. Our approach uses differential evolution (DE), a...”
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SWAP-Network Routing and Spectral Qubit Ordering for MPS Imaginary-Time Optimization di Åsgrim, Erik M., Markidis, Stefano

Sommario: “...We propose a quantum-inspired combinatorial solver that performs imaginary-time evolution (ITE...”
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