Joint User and Beam Selection in Millimeter Wave Networks by Santosh Kumar Singh, Satyabrata Sahu, Ayushi Thawait, Prasanna Chaporkar, Gaurav S. Kasbekar

“…Also, we propose two fast greedy heuristics—NGUB1 and NGUB2—for UE and beam selection. …”
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A Study on the Effectiveness and Efficiency of Public or Private Hospitals within Pakistan by Noman Islam, Muhammad Usman Raees, Darakshan Syed

“…The paper then determines the variables that are contributing the most to the measure of effectiveness and efficiencies of hospitals. The algorithm also ranks these features that can be used to improve a hospital's performance. …”
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Provably secure and efficient escrowable public key encryption schemes by Wen-hao LIU, Sheng-bao WANG, Zhen-fu CAO, Li-dong HAN

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Comparison and Analysis of Matching patterns using Simulation with Subsurface Navigation Approach Based on Magnetic Maps by Ali Hasankhani

“…Information security is very important, especially in the military field. Also, accurate knowledge of geographic coordinates and positioning of people and equipment are very important. …”
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Simulation and accurate prediction of thermal efficiency of functionalized COOH-MWCNT/water nanofluids by artificial neural network using experimental data by Mohammad Hemmat Esfe, Davood Toghraie, Saeed Esfandeh, Sayyid Majid Motallebi

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Using a machine learning algorithm and clinical data to predict the risk factors of disease recurrence after adjuvant treatment of advanced-stage oral cavity cancer by Sheng-Yao Huang, Ren-Jun Hsu, Dai-Wei Liu, Wen-Lin Hsu

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Improving the navigation optimization of hospital logistics robots under complex lighting changes by using improved ORB-SLAM3 and deep learning visual SLAM algorithm by Feng Xiao, Youhai Zhang, Jie Fang, Xing Guo, Rubing Huang

“…These measures significantly improve the quality and matching accuracy of feature point extraction; the algorithm also combines visual and inertial information closely by combining inertial measurement unit data, further enhancing the positioning accuracy and system stability.The experimental results show that in the environment of rapid light changes, the average positioning error, navigation map construction integrity and navigation planning time of the improved ORB-SLAM3 algorithm are 0.26 m, 80% and 7.26 ms, respectively.This achievement not only effectively improves the navigation efficiency of the hospital logistics robot, but also enhances its stability and reliability in an environment with severe lighting changes. …”
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Presenting a robust optimization model for the design of the green loop supply chain network in the power plant by taking into account the disruption in the supply chain by Javad Mohammadghasemi, Seyyed Esmaeil Najafi, Mohammad Fallah, Mohammad Reza Nabatchian

“…Finally, the statistical test results also show that there was no significant difference between the averages of the number of practical solutions, the maximum spread, and the metric distance between the two algorithms, and only a significant difference exists between the solution times of the two algorithms. …”
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SCH-Hunter: A Taint-Based Hybrid Fuzzing Framework for Smart Contract Honeypots by Haoyu Zhang, Baotong Wang, Wenhao Fu, Leyi Shi

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Optimization of a photovoltaic/wind/battery energy-based microgrid in distribution network using machine learning and fuzzy multi-objective improved Kepler optimizer algorithms by Fude Duan, Mahdiyeh Eslami, Mohammad Khajehzadeh, Ali Basem, Dheyaa J. Jasim, Sivaprakasam Palani

“…The results including energy losses, voltage deviations, and purchased power from the HMG have been presented. Also, the MOIKOA superior capability is validated in comparison with the multi-objective conventional Kepler optimization algorithm, multi-objective particle swarm optimization, and multi-objective genetic algorithm in problem-solving. …”
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Parallel Newtonian Optimization without Hessian Approximation by Khalil Abbo

“…The purpose of this paper is to introduce parallel algorithms based on the Newton method for solving non-linear unconstrained optimization problem in (MIMD) parallel computers by solving linear system in parallel using Gaussian Elimination method rather than finding inverse Hessian matrix to avoid the errors caused by evaluating the inverse matrix and also to increase computing power and reduce run time.…”
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QoS-based sensing scheduling protocol for wireless sensor networks by YAO Dao-yuan1, WANG Hai-lin 1, ZHANG Bao-xian2, LIU Hai-tao1

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Hypoxia adaptation mechanism in rats’ peripheral auditory system in high altitude migration: a time series transcriptome analysis by Luoying Wang, Xingcheng Yi, Yulai Zhou, Lanzi Gongga, Shuyuan Yu, Xinyi Guo, Xiaoqiang Pan, Xiaoyun Su, Ping Wang

“…Transmission Electron Microscopy (TEM) observations of structures also support the findings. A time-series gene co-expression network algorithm was used to investigate gene regulatory patterns and key genes after migration. …”
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Recommendations for Increasing the Efficiency of Promotion of Websites in Belarusian Region by E. M. Yelovaya

“…As a result of applying the methodology, an algorithm for SEO optimization of the website of the Postavy district was developed based on a comparative analysis of the online promotion technology of the Braslav district. …”
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Identifying pesticide mixtures at country-wide scale by Cairo, Milena, Monnet, Anne-Christine, Robin, Stéphane, Porcher, Emmanuelle, Fontaine, Colin

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The Impact of a Line Probe Assay Based Diagnostic Algorithm on Time to Treatment Initiation and Treatment Outcomes for Multidrug Resistant TB Patients in Arkhangelsk Region, Russia... by Platon Eliseev, Grigory Balantcev, Elena Nikishova, Anastasia Gaida, Elena Bogdanova, Donald Enarson, Tara Ornstein, Anne Detjen, Russell Dacombe, Elena Gospodarevskaya, Patrick P J Phillips, Gillian Mann, Stephen Bertel Squire, Andrei Mariandyshev

“…Mortality was also lower in the LPA-based algorithm group (7.6%) compared to the culture-based algorithm group (15.9%). …”
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ProstaNet: A Novel Geometric Vector Perceptrons–Graph Neural Network Algorithm for Protein Stability Prediction in Single- and Multiple-Point Mutations with Experimental Validation... by Tianjian Liang, Ze-Yu Sun, Rieko Ishima, Xiang-Qun Xie, Ying Xue, Wei Li, Zhiwei Feng

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A contract-based cooperative spectrum sharing model in cognitive radio network by Guangqiang SHI, Ying LIU, Xiaomin MU

“…A contract-based cooperative spectrum sharing model in cognitive radio network was proposed.In this model,secondary user offers relay service for primary user when primary user's channel is poor.In return,when primary user's channel is good,secondary user can use spectrum with the underlay mode under the condition that the interference is limited.Contract theory in economics was introduced to this framework,the problem of collaboration between the primary and secondary users was modeled as a contract design problem,and the effectiveness function of evaluate primary and secondary users on contract revenue was set up.And the differential evolution algorithm was used to solve the problem.Finally,in different circumstances,primary user collaboration and un-collaboration were contrasted.The results showed that the main users under the condition of no additional input spectrum,not only save the sending power,but also effectively improve the data transfer rate,and improve the energy efficiency and spectrum efficiency.…”
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IT diagnostics of Parkinson's disease based on voice markers and decreased motor activity by U. V. Vishniakou, X. Yiwei

“…A Bayesian optimizer was also used to improve the hyperparameters of the KNN algorithm. …”
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MULTI-OBJECTIVE ROBUST OPTIMIZATION DESIGN OF COMPLIANT HINGE BASED ON BP NEURAL NETWORK (MT) by WU JianJun, LI JiaHui

“…In order to improve the robustness of the compliant hinge, genetic algorithm and BP neural network methods are introduced to optimize the parameters of the compliant mechanism. …”
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