Two-Phase Optimization Models for Liner Shipping Network Based on Hub Ports Cooperation: From the Perspective of Supply-Side Reform in China by Jingmiao Zhou, Yuzhe Zhao, Xingwen Niu

“…Meanwhile, the new company could cooperate with new strategic ports along the Maritime Silk Road in liner service. …”
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FLDQN: Cooperative Multi-Agent Federated Reinforcement Learning for Solving Travel Time Minimization Problems in Dynamic Environments Using SUMO Simulation by Abdul Wahab Mamond, Majid Kundroo, Seong-eun Yoo, Seonghoon Kim, Taehong Kim

“…This paper introduces a cooperative multi-agent federated reinforcement learning algorithm named FLDQN to address the challenge of agent cooperation by solving travel time minimization challenges in dynamic multi-agent reinforcement learning (MARL) scenarios. …”
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A Multi-Level Speed Guidance Cooperative Approach Based on Bidirectional Periodic Green Wave Coordination Under Intelligent and Connected Environment by Luxi Dong, Xiaolan Xie, Lieping Zhang, Shuiwang Li, Zhiqian Yang

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Dependence of the thickness of laminated load-bearing composite panels on the fiber angles by Yu. I. Badrukhin, E. S. Terekhova

“…The analytical expressions to calculate critical load for unsupported and stringer composite panels under combined loading were obtained to increase the efficiency of the algorithm. …”
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A Deep Learning Framework for Damage Assessment of Composite Sandwich Structures by Viviana Meruane, Diego Aichele, Rafael Ruiz, Enrique López Droguett

“…In this study, deep learning techniques, which have demonstrated excellent performance in image classification and segmentation, are incorporated into a novel approach for assessing damage in composite structures. This article presents a damage-assessment algorithm for composite sandwich structures that uses full-field vibration mode shapes and deep learning. …”
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CALCULATION OF EFFECTIVE ELECTRODYNAMICAL PARAMETERS FOR COMPOSITES WITH PARTICLES FROM SPECIAL MEDIUMS by V. T. Erofeenko, V. F. Bondarenko

“…A analytical algorithm for calculation of the effective material parameters of matrix composites consisting of the magnetodielectric matrix and a randomly distributed system of spherical particles is considered. …”
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EAQR: A Multiagent Q-Learning Algorithm for Coordination of Multiple Agents by Zhen Zhang, Dongqing Wang

“…We propose a cooperative multiagent Q-learning algorithm called exploring actions according to Q-value ratios (EAQR). …”
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Programmable composite pipeline structure supporting scheduling of integrated network and computing by HOU Saifeng, CUI Pengshuai, HU Yuxiang, DONG Yongji, LIU Yi

“…The network function pipeline deployment system supported the QoS isolation guarantee of different network functions and the allocation of heterogeneous resources in the programmable composite pipeline architecture. The scheduling algorithm was dynamically adjusted based on the hierarchical scheduling mechanism of programmable queuing to adapt to the characteristic service QoS guarantee requirements. …”
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Beamforming algorithm for cognitive satellite and terrestrial network based on UAV relay by Yanli LI, Zhi LIN, Zining WANG, Ba XU, Ming CHENG, Jian OUYANG

“…Two beamforming (BF) schemes to achieve spectrum sharing by suppressing inter-system interferences in cognitive satellite and terrestrial networks were proposed, where the satellite and UAV cooperative network was used as the secondary network, while the terrestrial network was used as the primary network.Specifically, considering that only the statistical channel state information was available, a constrained optimization problem was formulated to maximize the signal-to- interference-plus-noise ratio of the secondary user under the constraints of the maximum transmit power at the UAV and the interference power of the primary user.Then, an iteration-based BF scheme was proposed to solve the constrained optimization problem.To reduce the computational complexity of the iterative algorithm, a zero-forcing based BF scheme was further proposed.Finally, computer simulations verify the correctness and effectiveness of the proposed BF schemes.…”
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Energy dissipation balanced and reliable clustering algorithm for wireless sensor networks by Jun YUE, Wei-ming ZHANG, Wei-dong XIAO, Da-quan TANG, Jiu-yang TANG

“…A novel clustering algorithm for wireless sensor networks was proposed to resolve the hot spot problem and the single failure problem.The algorithm divided the network into unequal grids,and the nodes in the same grid form a cluster.The number of cluster heads in each grid was determined according to the failure probability of nodes,and the data collection of nodes in a grid was implemented by multiple cluster heads of the grid cooperatively.By adjusting the number of nodes that could participate in cluster head rotation of each grid,the algorithm was able to balance the energy dissipation of nodes on a long view.The algorithm reduced the reliance of cluster members to single cluster head by forming cluster with multiple cluster heads.Furthermore,the algorithm adopted some measures to diminish energy consumption.Simulation results show that the algorithm has higher balanced extent of energy dissipation and reliability of data collection,and prolongs the lifetime of network.…”
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Energy dissipation balanced and reliable clustering algorithm for wireless sensor networks by Jun YUE, Wei-ming ZHANG, Wei-dong XIAO, Da-quan TANG, Jiu-yang TANG

“…A novel clustering algorithm for wireless sensor networks was proposed to resolve the hot spot problem and the single failure problem.The algorithm divided the network into unequal grids,and the nodes in the same grid form a cluster.The number of cluster heads in each grid was determined according to the failure probability of nodes,and the data collection of nodes in a grid was implemented by multiple cluster heads of the grid cooperatively.By adjusting the number of nodes that could participate in cluster head rotation of each grid,the algorithm was able to balance the energy dissipation of nodes on a long view.The algorithm reduced the reliance of cluster members to single cluster head by forming cluster with multiple cluster heads.Furthermore,the algorithm adopted some measures to diminish energy consumption.Simulation results show that the algorithm has higher balanced extent of energy dissipation and reliability of data collection,and prolongs the lifetime of network.…”
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A hybrid self-adaptive invasive weed algorithm with differential evolution by Fuqing Zhao, Songlin Du, Hao Lu, Weimin Ma, Houbin Song

“…The exploration and exploitation ability of the algorithm is effectively balanced by cooperative mechanisms. …”
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Agent-based dynamic spectrum trading algorithm in cognitive radio network by Shi-bing ZHANG, Guo-dong ZHANG, Zhi-hua BAO

“…In order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary service providers (PSP) and mul-ti-secondary users (SU). …”
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Agent-based dynamic spectrum trading algorithm in cognitive radio network by Shi-bing ZHANG, Guo-dong ZHANG, Zhi-hua BAO

“…In order to improve the benefits generated by spectrum sharing, the spectrum management was studied and the agent-based dynamic spectrum trading algorithm was proposed. In the algorithm, the agent was used as a medium for spectrum trading, which reduced the huge system overhead among multi-primary service providers (PSP) and mul-ti-secondary users (SU). …”
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A Fuzzy-Based Relay Security Algorithm for Wireless Sensor Networks by Nan-I Wu, Tung-Huang Feng, Min-Shiang Hwang

“…This study proposes a contraindicated safety selection mechanism algorithm to address equal output values in fuzzy systems. …”
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Research on TOF⁃Based UWB Indoor Positioning Technology and Fusion Algorithms by Dongning WANG, Yueyang HUANG, Yuanbo SHI

“…Aiming at the problems of low positioning accuracy and poor stability in multi⁃effect and non⁃line⁃of⁃sight conditions, a new indoor positioning system Chan⁃Taylor⁃Unscented Kalman Filter (C⁃T⁃UKF) combined positioning algorithm is designed based on the time of flight positioning algorithm, combined with the Chan⁃Taylor (C⁃T) cooperative positioning algorithm, and fused with the Unscented Kalman Filter (UKF) algorithm. …”
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HistomicsTK: A Python toolkit for pathology image analysis algorithms by Fattaneh Pourakpour, Ákos Szölgyén, Ramin Nateghi, David A Gutman, David Manthey, Lee AD Cooper

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Optimal tuning of multi-PID controller using improved CMOCSO algorithm by Ying Hu, Xiongyan Liu, Hao Chen

“…To mitigate synchronization errors within a multi-PID controller system and enhance its resistance to interference, an improved competitive and cooperative swarm optimizer for constrained multi-objective optimization (CMOCSO) algorithm is employed to optimize the parameters of the multi-PID controller. …”
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Algorithms for Simulation of Shunt Currents in a Vanadium Redox Flow Battery by Decebal Aitor Ispas-Gil, Ekaitz Zulueta, Javier Olarte, Jose Manuel Lopez-Guede

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Disorder Analytic Model-Based CMT Algorithms in Vehicular Sensor Networks by Changqiao Xu, Xiangzhou Xia, Jianfeng Guan, Hongke Zhang, Gabriel-Miro Muntean

“…Latest technological advances enable vehicular devices to be equipped with multiple wireless interfaces, which can support cooperative communications for concurrent multipath transfer (CMT) in VSNs. …”
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