Collaborative Search Algorithm for Multi-UAVs Under Interference Conditions: A Multi-Agent Deep Reinforcement Learning Approach by Wei Wang, Yong Chen, Yu Zhang, Yong Chen, Yihang Du

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A simplified approach for efficiency analysis of machine learning algorithms by Muthuramalingam Sivakumar, Sudhaman Parthasarathy, Thiyagarajan Padmapriya

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Cooperative Target Localization and Tracking with Incomplete Measurements by Yi Zhang, Yinya Li, Guoqing Qi, Andong Sheng

“…This study investigates a problem on target localization and tracking for two cases where either the slant range information of dual stations is lost or the slant range information of one station and the pitch angle information of the other one are missing. The models of cooperative localization with incomplete measurements are presented and the Kalman filtering algorithm is applied for target tracking. …”
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Research on cognitive user pairing and cooperative sensing by Zhi-hua BAO, Shi-bing ZHANG, Xiao-ge ZHANG, Gong-an QIU

“…Aim at the shortages of the cooperative algorithm in sensing and time slot spent,an optimal cognitive users pairing and cooperative sensing algorithm was proposed.To achieve the best sensing performance,the pairing criterion was adopted where the one with the best receive SNR was used for the sense user and the one with the second-best receive SNR was used for the relay.According to optimizing cooperation threshold,non-cooperative or cooperative mode was selected,which made time slot spent much lower but sensing ability slight decreasing.Meanwhile,a lower bound of the detection probability and the time slot spent were derived in Rayleigh flat fading channels.Numerical results show the proposed algorithm has higher detection probability and lower time slot spent than the existing one.…”
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Research on cognitive user pairing and cooperative sensing by Zhi-hua BAO, Shi-bing ZHANG, Xiao-ge ZHANG, Gong-an QIU

“…Aim at the shortages of the cooperative algorithm in sensing and time slot spent,an optimal cognitive users pairing and cooperative sensing algorithm was proposed.To achieve the best sensing performance,the pairing criterion was adopted where the one with the best receive SNR was used for the sense user and the one with the second-best receive SNR was used for the relay.According to optimizing cooperation threshold,non-cooperative or cooperative mode was selected,which made time slot spent much lower but sensing ability slight decreasing.Meanwhile,a lower bound of the detection probability and the time slot spent were derived in Rayleigh flat fading channels.Numerical results show the proposed algorithm has higher detection probability and lower time slot spent than the existing one.…”
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Research on Multi-Objective Evolutionary Algorithms Based on Large-Scale Decision Variable Analysis by Jianing Li, Sijia Xu, Jiaming Zheng, Guoqing Jiang, Weichao Ding

“…To address these issues, this paper proposes a two-population cooperative evolutionary algorithm based on large-scale decision variable analysis (DVA-TPCEA). …”
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Dynamic Cooperative Clustering Based Power Assignment: Network Capacity and Lifetime Efficient Topology Control in Cooperative Ad Hoc Networks by Xiao-Hong Li, Ling Xiao, Dong Wang

“…This paper tries to solve the above problems existing in the research on topology control under the CC model by proposing a power assignment (DCCPA) algorithm based on dynamic cooperative clustering in cooperative ad hoc networks. …”
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Effective cooperative scheme based on relay selection by YU Fei1, YANG Lv-xi1

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Buffer-aided cooperative NOMA with power transfer by Long YANG, Li ZHAO, Yuchen ZHOU, Bingtao HE, Jian CHEN

“…To improve the throughput of multiuser simultaneous wireless information and power transfer systems, a buffer-aided cooperative non-orthogonal multiple access scheme with power transfer was designed to maximize the average throughput under the constraints of average/peak power, user’s rate, and the buffer stability.To reduce the optimization complexity, the Lyapunov’s method was introduced to convert the long-term average optimization problem into a series of time-discrete subproblems, and an adaptive transmission and resource allocation optimization algorithm was proposed, where the working mode, the user scheduling and the power allocation were dynamically optimized according to the time-varying channel/buffer state.Simulation results demonstrate that compared with the existing schemes, the proposed scheme can significantly enhance the average throughput whilst achieving the tradeoff between the delay and throughput.…”
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Legendre Cooperative PSO Strategies for Trajectory Optimization by Lei Liu, Yongji Wang, Fuqiang Xie, Jiashi Gao

“…Then, a practical fast one-dimensional interval search algorithm is designed to optimize the additional control variable. …”
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Ground Attack Strategy of Cooperative UAVs for Multitargets by Qirui Zhang, Ruixuan Wei

“…Furthermore, an experimental cooperative UAVs platform is built to practically implement the algorithms. …”
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Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods by Haoying Niu, Tiange Mu, Yuting Wang, Jiayang Huang, Jie Liu

“…Based on some typical complex network analysis methods and machine learning techniques, a general multiple-measures composited strategy-guided epilepsy diagnosis analysis framework is proposed in this brief paper. …”
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Comparison of stromal vascular fraction cell composition between Coleman fat and extracellular matrix/stromal vascular fraction gel by Xiaoyun Li, Guohong Zhang, Mengmeng Wang, Changhao Lu, Guangping Zhang, Zhehui Chen, Yingchang Ji

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Research on Cooperative Localization Method in Dynamic Networks by ZHANG Zhihua, SUN Bin, LI Bingchen, ZHOU Zhongfu, SHEN Feng

“…These circumstances can result in a decrease in the accuracy of cooperative localization algorithms or even cause them to malfunction. …”
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Study on optimization of Al6061 sphere surface roughness in diamond turning based on central composite design model and grey wolf optimizer algorithms by Le Thanh Binh, Duong Xuan Bien, Ngo Viet Hung, Chu Anh My, Hoang Nghia Duc, Nguyen Kim Hung, Bui Kim Hoa

“…This paper presents optimization results of the Al6061 surface roughness in turning ultra-precision based on the central composite design method (CCD) and the grey wolf optimization algorithm (GWO). …”
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A QoS Driven Web Service Composition Method Based on ESGA (Elitist Selection Genetic Algorithm) with an Improved Initial Population Selection Strategy by Shuanyu Dong, Weiqing Dong

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A Bi-Level Programming-Based Method for Service Composition Optimization of Collaborative Manufacturing of Sewing Machine Cases by Gan Shi, Shanhui Liu, Keqiang Shi, Langze Zhu, Zhenjie Gao, Jiayue Zhang

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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach by Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo

Subjects: “…composite quantile regression…”
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STsisal: a reference-free deconvolution pipeline for spatial transcriptomics data by Yinghao Fu, Yinghao Fu, Yinghao Fu, Leqi Tian, Weiwei Zhang

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An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels by Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li

“…Our research presents a composite deep convolutional neural network (CNN) architecture known as the composite dense-residual neural network (CDRNN). …”
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