Research on low complexity decoding for SCMA based on serial strategies of variable node by Mingming JI, Jianhong ZHENG

“…Sparse code multiple access technology,as a competitive non orthogonal multiple access scheme for the fifth generation wireless communication network,has a broad application prospect.However,current SCMA uplink use the flooding scheme of message passing algorithm for decoding,both the detection complexity and convergence properties are not ideal.A serial message passing algorithm which changed the information updating strategy was proposed,which performed message processing and deliveried according to the order of the variable nodes.Each of variable node simultaneously performed the reception of the verification message and the transmission of the variable message.The theoretical and simulation results show that the proposed algorithm not only maintains good performance,but also has low decoding complexity.…”
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INTRAOPERATIVE DETECTION OF THE SENTINEL LYMPH NODES IN LUNG CANCER by A. L. Akopov, G. V. Papayan, I. V. Chistyakov

“…At the same time the treatment strategy and prognosis could be determined. The authors present the results of an application of dye techniques, radioactive preparation and fluorescence imaging for sentinel lymph node detection. …”
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A Novel Community Detection Algorithm Based on Node Propagation and Attraction by Lidong Fu, Xinxing Xie, Zengfa Dou, Yun Bai, Xi Zhao

“…High-quality community detection in complex networks typically relies on the similarity between nodes to select communities. …”
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Rumor detection model with weighted GraphSAGE focusing on node location by Manfu Ma, Cong Zhang, Yong Li, Jiahao Chen, Xuegang Wang

“…Traditional deep learning models ignore the relationship and topology between nodes in the rumor detection task and use fixed weights or mean aggregation strategies in the feature aggregation process, which fail to capture the complex interactions between nodes and the dynamics of information propagation, limiting the accuracy and robustness of the rumor detection model. …”
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Detecting eavesdropping nodes in the power Internet of Things based on Kolmogorov-Arnold networks. by Rong Wang, Weibin Jiang, Yanjin Shen, Qiqing Yue, Kan-Lin Hsiung

“…This paper proposes an innovative method for eavesdropping node localization based on Kolmogorov-Arnold Networks (KANs). …”
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Application of thyroglobulin detection in fine-needle aspiration washout fluid from cervical lymph node by ZENG Qingxin, ZHONG Haifeng

“…Differentiated thyroid carcinoma （DTC） is the most common type of thyroid malignancy， with a high incidence of regional lymph node metastasis. Accurate diagnosis of lymph node metastasis is crucial for determining appropriate treatment strategies. …”
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An Optimization Coverage Strategy for Wireless Sensor Network Nodes Based on Path Loss and False Alarm Probability by Jianing Guo, Yunshan Sun, Ting Liu, Yanqin Li, Teng Fei

“…The experimental results indicate that the proposed model more accurately captures the signal transmission and detection characteristics of sensor nodes in WSNs. …”
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A fuzzy based chicken swarm optimization algorithm for efficient fault node detection in Wireless Sensor Networks by B Nagarajan, Santhosh Kumar SVN, M Selvi, K Thangaramya

“…In the course of this effort, an effective strategy for sensor node failure detection algorithm using the Poisson Hidden Markov Model (PHMM) and the Fuzzy-based Chicken Swarm Optimization (F-CSO) is proposed for efficient detection of sensor node faults in the WSN. …”
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The Application of Three-dimensional Shear Wave Elastography in the Detection of Inguinal Lymph Node Metastasis in Gynecological Malignancies by Yuping Shen, Jiulong Dai, Jiami Li, Man Lu

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Eclipse Attacks in Blockchain Networks: Detection, Prevention, and Future Directions by Zubaida Rehman, Mark A. Gregory, Iqbal Gondal, Hai Dong, Mengmeng Ge

“…This paper also reviews state-of-the-art detection methods and prevention strategies, shedding light on their effectiveness and limitations. …”
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Treatment strategy for lymph node metastasis of hepatocellular carcinoma using an ICG navigation system: a case report by Shunsuke Furukawa, Takao Ide, Kotaro Ito, Tomokazu Tanaka, Hirokazu Noshiro

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Slim-sugarcane: a lightweight and high-precision method for sugarcane node detection and edge deployment in natural environments by Lijiao Wei, Lijiao Wei, Shuo Wang, Xinwei Liang, Dongjie Du, Xinyi Huang, Ming Li, Yuangang Hua, Weihua Huang, Zhenhui Zheng, Zhenhui Zheng

“…Accurate detection of sugarcane nodes in complex field environments is a critical prerequisite for intelligent seed cutting and automated planting. …”
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Assessing the Comparative Efficacy of Sentinel Lymph Node Detection Techniques in Vulvar Cancer: Protocol for a Systematic Review and Meta-Analysis by Balázs Vida, Balázs Lintner, Szabolcs Várbíró, Petra Merkely, Lotti Lúcia Lőczi, Nándor Ács, Richárd Tóth, Márton Keszthelyi

“…This systematic review and meta-analysis protocol aims to evaluate the comparative efficacy of different sentinel lymph node (SLN) detection techniques in the management of vulvar cancer. …”
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Selfish attack detection and response using cooperative backoff adjustment in wireless sensor networks by Na-Eun Park, Seo-Yi Kim, Il-Gu Lee

“…This study introduces a novel detection and response strategy for selfish nodes, utilizing backoff adjustment mechanisms to reduce throughput deterioration. …”
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3D Object Detection Based on Graph Network Fusion Sampling Strategy by LI Wenju, CHEN Zhilin, QU Jiantao, CUI Liu, CHU Wanghui, GAO Hui

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Game Strategies for Data Transfer Infrastructures Against ML-Profile Exploits by Nageswara S. V. Rao, Chris Y. T. Ma, Fei He

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A multi-center retrospective analysis of ultrasound-guided fine needle aspiration biopsy for detecting additional positive axillary node metastasis in early breast cancer by Youjia Li, Mengru Dong, Shengyu Liao, Yu Jiang, Yingjie Niu, Yiqin Huang, Wei Fu, Debo Chen, Zhipeng Hong

“…US-FNAB significantly improves the detection of additional ALN metastasis, guiding more effective strategy for ALN surgical decision-making. …”
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A model-based design strategy to engineer miRNA-regulated detection systems by Renske J. Verkuijlen, Robert W. Smith

“…These small RNA molecules are always present in the human body but become dysregulated when a person develops certain diseases. Although the detection of these biomarkers in cell-free tests is ongoing work, current systems often focus solely on detecting the presence or absence of a specific miRNA, rather than the miRNAs concentration. …”
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Community Detection Based on Density Peak Clustering Model and Multiple Attribute Decision-Making Strategy TOPSIS by Jianjun Cheng, Xu Wang, Wenshuang Gong, Jun Li, Nuo Chen, Xiaoyun Chen

“…We propose a community detection algorithm based on a density peak clustering model and multiple attribute decision-making strategy, TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution). …”
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Influence-Based Community Partition with DegreeRank Label Propagation (DRLP) Algorithm for Social Networks by Mingwu Li, Ailian Wang, Xuyang Gao, Bolin Li

“…In this article, we propose a label improvement algorithm, DegreeRank Label Propagation (DRLP), which is based on the degree centrality of nodes and adopts a PageRank optimization strategy. …”
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