Iterative algorithm for locating nodes in WSN based on modifying average hopping distances by LIN Jin-zhao1, CHEN Xiao-bing1, LIU Hai-bo1

“…Secondly, the average one-hop dis-tance used by each locating node for estimating itself location was modified through weighting the N received average one-hop distances from beacon nodes. …”
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APPLICATION OF STROBOSCOPIC POINCARE MAP FOR ROTOR SYSTEM INTERFACE NODE DEFECTS DIAGNOSIS by Mikhail V. Chuveyko

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The Average Errors for the Grünwald Interpolation in the Wiener Space by Yingfang Du, Huajie Zhao

“…We determine the weakly asymptotically orders for the average errors of the Grünwald interpolation sequences based on the Tchebycheff nodes in the Wiener space. …”
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A node influence ranking algorithm combining k-shell iteration and node degree. by Yating Ji, Lequn Liu, Shujia Li, Pu Lu, Qimei Tang

“…Identifying key nodes in complex networks holds significant application value in fields such as information dissemination and disease spread. …”
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Distributed aggregate algorithm for average query based on WSN by LIU Cai-ping1, LI Ren-fa1, LIU Xi-ping2

“…A distributed aggregate algorithm （DAA） for average query based on WSN was proposed. In DAA, the com- putation process of each node in WSN used the information gathered from just a few nearby neighbors. …”
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EFFECT OF BA AND TDZ IN VEGETATIVE MULTIPLICATION OF SHOOT TIPS AND NODES OF Buahinia purpurea L. In vitro by Sumood Alhadeedy, Evet A. Youhannan

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Lymph node transfer using the middle jugular lymph node flap: Anatomical study and a report of two cases by Fumio Onishi, Bien-Keem Tan

“…Results: In the cadaveric study, an average of two lymph nodes were found in the middle jugular region. …”
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Research on the WSN Node Localization Based on TOA by Qing-hui Wang, Ting-ting Lu, Meng-long Liu, Li-feng Wei

“…Then, the participation field of the fixed node based on the node location information is properly controlled, while the routing request area is reduced through combination of AODV and LAR during transmission of the location information. …”
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A lanthanide MOF with nanostructured node disorder by Sarah L. Griffin, Emily G. Meekel, Johnathan M. Bulled, Stefano Canossa, Alexander Wahrhaftig-Lewis, Ella M. Schmidt, Neil R. Champness

“…Here we show the synthesis and structural characterization of a metal-organic framework, UoB-100(Dy). Average structure refinements indicate that the node is disordered between two orientations of the nonanuclear secondary building unit (SBU). …”
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ANALYSIS OF LYMPH NODE METASTASING OF I-III STAGE COLORECTAL CANCER BASED ON RESULTS OF D3 LYMPH NODE DISSECTION by O. Yu. Samofalova, I. A. Tulina, A. Yu. Kravchenko, B. N. Bashankaev, D. N. Fedorov, E. M. Paltseva, P. V. Tsarkov

“…The average metastasis index of the  studied patients group is not big (0,13) and proves a great  volume of lymph-node dissection. …”
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Robot-assisted axillary lymph node dissection in patients with node-positive breast cancer: techniques, learning curve, and preliminary results by Zhjie Wu, Zuxiao Chen, Zongyan Li, Xiaoyan Fu, Yunxiang Luo, Qiongyu Hu, Haiyan Li

“…Background: Robot-assisted axillary lymph node dissection (RALND) has little application experience. …”
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Intrusion Detection Technology for Wireless Sensor Networks Based on Autoregressive Moving Average by Ju-zhen Yu

“…Firstly, the technology uses the autoregressive moving average model ARMA (autoregressive moving average) to establish the ARMA traffic prediction model for the node and then uses the predicted traffic value to obtain the traffic reception rate range through the node. …”
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Time Synchronization in Wireless Sensor Networks Using Max and Average Consensus Protocol by Zhao Dengchang, An Zhulin, Xu Yongjun

“…This paper proposes a novel distributed time synchronization scheme for wireless sensor networks, which uses max consensus to compensate for clock drift and average consensus to compensate for clock offset. …”
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Distributed multi‐target tracking via consensus‐based Arithmetic Average fusion by Xin Guan, Yu Lu

“…The paper proposes the LMB Consensus Arithmetic Average (LMB‐CAA) fusion algorithm to address the issue of label inconsistency in multi‐sensor LMB density fusion. …”
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MICROPROPAGATION OF GARDENIA Gardenia jasminoidesBY USING SINGLE NODES by Mosleh M.S.Duhoky

“…The present study was carried out to study the micropropagation of Gardenia (Gardenia jasminoides) by using single nodes excised from soft cuttings using half strength MS salts, 30gl-1 sucrose, 7gl-1 Agar and different concentrations of plant growth regulators in culture medium. …”
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Sensor Node Deployment Optimization for Continuous Coverage in WSNs by Haris Muhammad, Haewoon Nam

“…Optimizing sensor node coverage remains a central challenge in wireless sensor networks (WSNs), where premature convergence and suboptimal solutions in traditional optimization methods often lead to coverage gaps and uneven node distribution. …”
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Another Six-Node Triangular Element for Structural Analysis by Lan HOANG THAT TON

“…A six-node triangular element is presented in this paper for structural analysis. …”
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A Monte-Carlo Approach for the Estimation of Average Transition Probabilities in Sequential Logic Circuits by Georgios I. Stamoulis

“…This paper presents an efficient and accurate Monte-Carlo approach to the problem of estimating average node switching probabilities in sequential circuits, which are used in average power estimation and reliability analysis of these circuits. …”
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Numerically Efficient Average-Value Model for Voltage-Source Converters in Nodal-Based Programs by SEYYEDMILAD EBRAHIMI, Taleb Vahabzadeh, Juri Jatskevich

“…In this article, the formulation of the DI-AVM is generalized for an arbitrary configuration of the interfacing nodes. This is done by formulating the extended equivalent conductance matrix for the VSC AVM, assuming all nodes are floating. …”
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Optimizing wireless sensor network topology with node load consideration by Ruizhi Chen

“…When calculating the node mortality rate and network load balancing standard deviation, the proposed algorithm showed dead nodes at approximately 50 iterations, with an average load balancing standard deviation of 1.7×104, proving its contribution to extending the network lifespan. …”
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