Results 61 to 70 of about 14,317,493 (293)
Multi-Robot Confrontation on physics-based simulators is a complex and time-consuming task, but simulators are required to evaluate the performance of the advanced algorithms.
Chunyang Hu, Meng Xu
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Multi‐agent reinforcement learning based transmission scheme for IRS‐assisted multi‐UAV systems
In this paper, a transmission scheme based on multi‐agent reinforcement learning for intelligent reflecting surface (IRS)‐assisted multiple unmanned aerial vehicles (UAVs) systems is proposed.
Yumo Mei +4 more
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A conversation with James V. Zidek
AbstractThis article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges. Zidek is a Fellow of the Royal Society of Canada and
Christian Genest, Nancy E. Heckman
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Accurate assessment of systemic drug exposure in humans remains challenging, as conventional approaches rely on intermittent blood sampling and laboratory‐based assays that are invasive and provide limited temporal resolution. Exhaled breath contains volatile and semi‐volatile compounds arising from drug metabolism and downstream biological processes ...
Kai Fricke +12 more
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A Sub-Optimal Policy for Connection Admission Control Mechanism in Cognitive Radio Sensor Networks
Satisfying the quality of service (QoS) is a crucial issue in cognitive radio sensor networks (CRSNs) due to the highly variable nature of cognitive radio channels.
Elahe sadat Hosseini, Reza Berangi
doaj
Trajectory Optimization of Packet Ferries in Opportunistic Social-Based Machine-to-Machine Networks
Machine-to-machine (M2M) communication is an emerging paradigm to connect a large number of devices through wireless technologies. In recent application scenarios, devices are normally carried by people in social contexts.
Xin Guan
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ABSTRACT Ab initio path integral Monte Carlo (PIMC) simulations constitute the gold standard for the estimation of a broad range of equilibrium properties of a host of interacting quantum many‐body systems spanning a broad range of conditions from ultracold atoms to warm dense quantum plasmas.
Paul Hamann +2 more
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This paper addresses the problem of decision-making support for the modernization of distributed automated control systems (ACS) in power engineering by proposing an integral quality criterion that combines similarity-driven Markov process modeling with ...
Waldemar Wojcik +4 more
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Task admission control for application service operators in mobile cloud computing
The resource constraint has become an important factor hindering the further development of mobile devices (MDs). Mobile cloud computing (MCC) is a new approach proposed to extend MDs’ capacity and improve their performance by task offloading.
Xiaomin Jin, Wenqiang Hua, Zhongmin Wang
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Generative Models in Inorganic Crystals Discovery and Inverse Design
Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source

