Low-diameter topic-based pub/sub overlay network construction with minimum–maximum node degree by Semih Yumusak, Sina Layazali, Kasim Oztoprak, Reza Hassanpour

“…The proposed algorithm based on the greedy merge algorithm selects the node with the minimum number of neighbors. …”
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Localization of Wireless Capsule Endoscopes Using the Receiver Selection Algorithm and a Modified Capsule Antenna by Paweł Oleksy, Łukasz Januszkiewicz

“…In this new approach, the algorithm selects five external receivers from the predefined set and uses an adaptive estimation of human body model permittivity. …”
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IoT Framework for Measurement and Precision Agriculture: Predicting the Crop Using Machine Learning Algorithms by Kalaiselvi Bakthavatchalam, Balaguru Karthik, Vijayan Thiruvengadam, Sriram Muthal, Deepa Jose, Ketan Kotecha, Vijayakumar Varadarajan

“…The Machine learning algorithm selected for classifying is multilayer perceptron rules-based classifier JRip, and decision table classifier. …”
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Multi-objective Optimization of Grid Computing for Performance, Energy and Cost by Ahmed Badri Muslim Fanfakhri, Ali Yakoob Yousif, Esraa Alwan

“…It optimizes the execution time, the energy consumption and the cost of booked nodes in the grid architecture at the same time. The proposed algorithm selects the best frequencies depends on a new optimization function that optimized these three objectives, while giving equivalent trade-off for each one. …”
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Non-Uniform Clustering Algorithm for UWSNs Based on Energy Equalization by Jinwang Yi, Jie Tang, Fei Yuan, Guanhao Qiao, Dongping Dai

“…Considering the residual energy, density and coverage redundancy of nodes, this algorithm selects the cluster heads and makes them more reasonably distributed. …”
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Optimization of teeth distribution for promote gearbox used in jack-up offshore platforms using improved genetic algorithm by Shuai LI, Chaosheng SONG, Caichao ZHU, Hailan SONG, Xuesong DU

“…Through the strength verification calculation by the analysis model, the variation trend of the strength before and after optimization is consistent with the proposed optimization model, which indicates that the multi-objective optimization model established in this paper and the improved genetic algorithm selected are correct and effective.…”
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Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress by Juliette Humeau, Allan Sauvat, Giulia Cerrato, Wei Xie, Friedemann Loos, Francesca Iannantuoni, Lucillia Bezu, Sarah Lévesque, Juliette Paillet, Jonathan Pol, Marion Leduc, Laurence Zitvogel, Hugues de Thé, Oliver Kepp, Guido Kroemer

“…Since DACT is commonly used as an inhibitor of DNA to RNA transcription, we investigated whether other experimentally established or algorithm‐selected, clinically employed ICD inducers would share this characteristic. …”
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An algorithm for choosing a good shape parameter for radial basis functions method with a case study in image processing by Shabnam Sadat Seyed Ghalichi, Majid Amirfakhrian, Tofigh Allahviranloo

“…In this work, we focus on the interpolating of scattered data approximation and attempt to find a better value of the shape parameter for RBF interpolation. The proposed algorithm selects a good value for the shape parameter by minimizing a cost function which imitates the error between the radial interpolant and the unknown function f that the data points sampled from the function f. …”
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Method for determining estimates of random variable models for describing phase equilibrium in rectification processes by Mukhitdinov Djaloliddin, Kadirov Yorkin, Abrorov Akbar, Tukhtamishova Malika

“…In this paper, we briefly describe the deterministic and stochastic optimization algorithms selected for our rectification process, and then consider their use for phase stability analysis, Gibbs free energy minimization, and parameter estimation in phase equilibrium models. …”
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Research on the Power Distribution Method for Hybrid Power System in the Fuel Cell Vehicle by Yao He, Changchang Miao, Ji Wu, Xinxin Zheng, Xintian Liu, Xingtao Liu, Feng Han

“…The nonlinear programming algorithm selects the BFGS algorithm. The simulation results of other control strategies in MATLAB show that the proposed power distribution strategy greatly improves the durability of the vehicle and has good adaptability under urban conditions. …”
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Extended Kalman Filter-Based SOC Estimation for Lithium Battery Packs by Zhang Ruoyuan, Zhang hailong

“…The results show that the extended Kalman filter algorithm selected in the paper can effectively track the SOC of the lithium battery pack and control the tracking error below 1%.…”
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Clinical detection of “extremely low‐risk” follicular thyroid carcinoma: A population‐based study of 7304 patients by Minh‐Khang Le, Toru Odate, Huy Gia Vuong, Kunio Mochizuki, Tetsuo Kondo

“…We developed a nomogram and risk table based on a logistic regression model using algorithm‐selected variables. Receiver Operating Characteristic (ROC) analyses showed high discriminatory power in the training and validation cohorts (Area under the curve [AUC] of 0.85 and 0.84, respectively). …”
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On Selection of a Benchmark by Determining the Algorithms’ Qualities by Iztok Fister, Janez Brest, Andres Iglesias, Akemi Galvez, Suash Deb, Iztok Fister

“…In line with this, the CEC Competitions on Real-Parameter Single-Objective Optimization benchmarks that were issued several times in the last decade, serve as a testbed for evaluating the collection of nature-inspired algorithms selected in our study. Indeed, this article addresses two research questions: (1) How the selected benchmark affects the ranking of the particular algorithm, and (2) If it is possible to find the best algorithm capable of outperforming all the others on all the selected benchmarks. …”
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A Constrained Maximum Available Frequency Slots on Path Based Online Routing and Spectrum Allocation for Dynamic Traffic in Elastic Optical by Akhtar Nawaz Khan

“…In this paper, adaptive routing algorithms are proposed for shortest path routing as well as alternate path routing which make routing decision based on the maximum idle frequency slots (FS) available on different paths. The proposed algorithms select an underutilized path between different choices with maximum idle FS and efficiently avoids utilizing a congested path. …”
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Comparing forms of neighborhood instability as predictors of violence in Richmond, VA. by Samuel J West, Diane Bishop, Derek A Chapman, Nicholas D Thomson

“…We constructed and compared ordinary least-squares (OLS) to geographically weighted regression (GWR) models before constructing a final algorithm-selected GWR model. Our results indicated that the tax delinquency of company-owned properties (e.g., rental homes, apartments) was the only variable in our model (R2 = 0.62) that was associated with violence in all but four Richmond neighborhoods. …”
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Alzheimer Identification through DNA Methylation and Artificial Intelligence Techniques by Gerardo Alfonso Perez, Javier Caballero Villarraso

“…It is assumed that the process, in principle, can be non-linear; hence, a non-linear approach might be more appropriate. The proposed algorithm selects which CpGs to use as input data in a classification problem that tries to distinguish between patients suffering from AD and healthy control individuals. …”
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Power Scaling and Antenna Selection Techniques for Hybrid Beamforming in mmWave Massive MIMO Systems by Abdul Haq Nalband, Mrinal Sarvagya, Mohammed Riyaz Ahmed

“…We further propose to reduce the power consumption by emphasizing on the subdued resolution of Analog-to-Digital Converters (ADCs) with quantization awareness. The proposed algorithm selects the optimal number of antenna elements based on the resolution of ADCs without compromising on the quality of reception. …”
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Machine learning-based e-commerce platform repurchase customer prediction model. by Cheng-Ju Liu, Tien-Shou Huang, Ping-Tsan Ho, Jui-Chan Huang, Ching-Tang Hsieh

“…Finally, through two sets of contrast experiments, it is proved that the algorithm selected in this paper can effectively filter the features, which simplifies the complexity of the model to a certain extent and improves the classification accuracy of machine learning. …”
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Adaptiveness of RGB-image derived algorithms in the measurement of fractional vegetation coverage by Chuangye Song, Jiawen Sang, Lin Zhang, Huiming Liu, Dongxiu Wu, Weiying Yuan, Chong Huang

“…Conclusions Given that each algorithm has its own optimal application scenario, among the four algorithms selected, Fun01 (the combination of $$R/G$$ R / G , $$B/G$$ B / G , and $$ExG$$ ExG ) can be recommended for measuring FVC on cloudy days. …”
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Energy balancing routing method for coal mine wireless multimedia sensor network by WANG Hui, YANG Wei, LIU Junbo

“…In the method, PREHCVG algorithm divides nodes into different virtual grid for cluster management based on communication radius of the nodes in the network, and selects cluster head nodes according to residual energy and location information of the nodes. EDACR algorithm selects routing nodes from cluster head nodes and alternative cluster head nodes according to residual energy and distance information of the nodes. …”
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