Precision Analysis of Multi-Parameter Multi-Epoch Emitter Localization Radar in Three-Satellite Formation by Yiming Lian, Yuxuan Wu, Yaowen Chen, Xian Liu, Liming Jiang

“…To address the issues of requiring numerous cooperative platforms and the poor accuracy of single-epoch solutions with single-parameter closed-form algorithms, this paper proposes a multi-parameter multi-epoch positioning method based on a three-satellite formation. …”
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MultiPhys: Heterogeneous Fusion of Mamba and Transformer for Video-Based Multi-Task Physiological Measurement by Chaoyang Huo, Pengbo Yin, Bo Fu

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A Multi-Surrogate Assisted Multi-Tasking Optimization Algorithm for High-Dimensional Expensive Problems by Hongyu Li, Lei Chen, Jian Zhang, Muxi Li

Subjects: “…multi-tasking optimization algorithm…”
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Throughput and Delay Analysis of an Underwater CSMA/CA Protocol with Multi-RTS and Multi-DATA Receptions by Ho Young Hwang, Ho-Shin Cho

“…We propose an underwater CSMA/CA protocol with multi-RTS and multi-DATA receptions using the long underwater propagation delay. …”
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Certificateless ciphertext retrieval scheme with multi-user and multi-keyword based on cloud-edge collaboration by Xiaodong YANG, Tian TIAN, Jiaqi WANG, Meijuan LI, Caifen WANG

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Load balancing based on clustering analysis and deep learning for multi-frequency and multi-mode network by Yaxing QIU, Xidong WANG, Sen BIAN, Lei YUE

Subjects: “…multi-frequency and multi-mode network…”
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Multi‐Hour‐Ahead Dst Index Prediction Using Multi‐Fidelity Boosted Neural Networks by A. Hu, E. Camporeale, B. Swiger

“…The uncertainty of the Dst model is then estimated by using the Accurate and Reliable Uncertainty Estimate method (Camporeale & Carè, 2021, https://doi.org/10.1615/int.j.uncertaintyquantification.2021034623). Finally, a multi‐fidelity boosting method is developed in order to enhance the accuracy of the model and reduce its associated uncertainty. …”
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Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning by Xiao-bo SHI, Yin ZHANG, Shan ZHAO, Deng-ming XIAO

“…Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.…”
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Asymptotic Stability of the Golden-Section Control Law for Multi-Input and Multi-Output Linear Systems by Duo-Qing Sun, Zhu-Mei Sun

“…This paper is concerned with the problem of the asymptotic stability of the characteristic model-based golden-section control law for multi-input and multi-output linear systems. First, by choosing a set of polynomial matrices of the objective function of the generalized least-square control, we prove that the control law of the generalized least square can become the characteristic model-based golden-section control law. …”
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QoS guaranteed multi-user and multi-traffic scheduling algorithm for IEEE 802.16 network by BAI Bo1, CAO Zhi-gang1, CHEN Wei1, I Chih-lin2

“…Based on IEEE 802.16 protocol,the QoS guaranteed multi-user and multi-traffic resourle allocat scheduling problem were studiedin broadband wireless access network.Tirst,the cross-layer analysis model was given by TDM-OFDMA based on multi-access queuing scheduling system.Then,based on convex optimization method,the minimum residual integrated workload algorithm was proposed.It can be shown that the algorithm has guaranteed the QoS requirements asymptotically when the QoS parameters of arriving traffic are in the stability region of this algorithm;meanwhile,the residual integrated workload of the scheduling system has been minimized.It is also verified by the numerical results of simulation experiments that the algorithm can guarantee the QoS requirements of four types of services actually.…”
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Solution of secure multi-party multi-data raking problem based on El Gamal encryption by LIU Wen1, LUO Shou-shan2, CHEN Ping4

Subjects: “…secure multi-party multi-data rank…”
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Research on inter-core crosstalk characteristics of real multi-core fibers with multi-core excitation by Lian XIANG, Hongfeng PAN, Shulin JIN, Weidong SHAO

Subjects: “…multi-core fiber…”
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Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration by Ghulam Abbas, Zhi Wu, Aamir Ali

“…To reduce the cost of energy delivered, the cost of energy loss, and voltage deviation, this study gives a dynamic multi‐objective network reconfiguration together with siting and sizing of dispatchable and non‐dispatchable DGs. …”
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Packet size adjustment strategy for fairness in multi-rate and multi-node IEEE 802.11 by XU Wei-qiang1, HU Si-ping1, WANG Ya-ming1, ZHANG Yun-hua1

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Improved dynamic programming method for solving multi-objective and multi-stage decision-making problems by Zhihao Liang, Kegang Zhao, Kunyang He, Yanwei Liu

Subjects: “…Multi-objective and multi-stage decision-making problems…”
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Multi-user shortwave data link algorithm based on multi-domain orthogonal frequency selection by LI Lin, HUANG Xuexiao, PENG Xiaoyong

Subjects: “…shortwave|data link|frequency selection|multi-domain orthogonal|anti-interference…”
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Seeking Stability for Multi-Leader Stackelberg Game as an Incentive Mechanism for Multi-Requester Federated Learning by Min-Chun Cho, Li-Hsing Yen, Jing-Xuan Wang

“…We model the problem as seeking an equilibrium in a multi-leader multi-follower Stackelberg game and propose an exact method based on the derivation and backward induction to identify the Stackelberg equilibrium. …”
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Integrins identified as potential prognostic markers in osteosarcoma through multi-omics and multi-dataset analysis by Lei Cui, Shuai Zhao, Hai long Teng, Biao Yang, Qian Liu, An Qin

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« Maugis d’Aigremont », chanson de geste, suivie de « La Mort de Maugis » by Muriel Ott

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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

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