Results 61 to 70 of about 14,317,493 (293)

Fuzzy Reinforcement Learning and Curriculum Transfer Learning for Micromanagement in Multi-Robot Confrontation

open access: yesInformation, 2019
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
doaj   +1 more source

Multi‐agent reinforcement learning based transmission scheme for IRS‐assisted multi‐UAV systems

open access: yesIET Communications, 2023
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
doaj   +1 more source

A conversation with James V. Zidek

open access: yesCanadian Journal of Statistics, EarlyView.
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
wiley   +1 more source

Non‐Invasive Estimation of Systemic Drug Exposure Using Exhaled Breath Metabolomics in Humans: A Translational Proof‐of‐Concept Study

open access: yesClinical Pharmacology &Therapeutics, EarlyView.
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
wiley   +1 more source

A Sub-Optimal Policy for Connection Admission Control Mechanism in Cognitive Radio Sensor Networks

open access: yesInternational Journal of Information and Communication Technology Research, 2017
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

open access: yesInternational Journal of Distributed Sensor Networks, 2013
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
doaj   +1 more source

Reweighting Scheme for the Calculation of Grand‐Canonical Expectation Values in Quantum Monte Carlo Simulations With a Fermion Sign Problem

open access: yesContributions to Plasma Physics, EarlyView.
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
wiley   +1 more source

Quality Performance Criterion Model for Distributed Automated Control Systems Based on Markov Processes for Smart Grid

open access: yesApplied Sciences
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
doaj   +1 more source

Task admission control for application service operators in mobile cloud computing

open access: yesEURASIP Journal on Wireless Communications and Networking, 2020
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
doaj   +1 more source

Generative Models in Inorganic Crystals Discovery and Inverse Design

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
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

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