A Methodical Review on Carbon-Based Nanomaterials in Energy-Related Applications by Robert Birundu Onyancha, Kingsley Eghonghon Ukhurebor, Uyiosa Osagie Aigbe, Otolorin Adelaja Osibote, Heri Septya Kusuma, Handoko Darmokoesoemo

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Research of the Transfer Method of Four-dimensional Coordinate to Three-dimensional Coordinate by Ran Xiaoyan, Zhang Bai

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Probabilistic geotechnical engineering analysis based on first order reliability method by Georgios Belokas

“…This paper applies the first order reliability method (FORM) to estimate these values from the direct shear and the typical triaxial tests. …”
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Dual-granularity lightweight model for vulnerability code slicing method assessment by Bing ZHANG, Zheng WEN, Yuxuan ZHAO, Ning WANG, Jiadong REN

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A method for jamming waveform design in precision electronic warfare scenarios by Ke‐di Zhang, Qing‐song Zhou, Jing Wang, Jian‐yun Zhang, Zhi‐hui Li

“…This method can achieve energy focussing on the space and frequency domains.…”
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Power communication website bandwidth estimation method based on position weighting by Zhengjia ZHU, Xinyu YOU, Chenxi ZHENG, Li LI, Bing FAN

“…A power communication network site point communication bandwidth estimation method was proposed,which was related to the field of power communication networks.Firstly,according to a topology diagram of a power communication network,the local importance of the power communication site in the power communication network was determined.Then,the local importance and global importance of the power communication website was merged to obtain the actual importance value of the power communication website.Secondly,according to the actual importance value,each station’s communication bandwidth estimation model was determined.The data traffic redundancy factor was calculated based on the site communication bandwidth estimation model to calculate the planning bandwidth of the power communication site.The station’s position in the network topology was used to calculate the importance of the site and the importance of the node was introduced into the communication bandwidth of the site in the proposed method.In the estimation,the inaccuracy of traditional site communication bandwidth estimation result was overcome.…”
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Maximal Information Coefficient-Based Undersampling Method for Highly-Imbalanced Learning by Haiou Qin

“…Results show that compared with other undersampling methods, maximal information coefficient-based undersampling method are competitive in terms of G-mean and F-measure.…”
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Vaccine hesitancy among health paraprofessionals: A mixed methods study. by Madeline Hergott, Michael Andreski, John Rovers

“…<h4>Objective</h4>The objective of this project was to survey health care paraprofessionals to explore their thoughts and opinions about vaccines in general, and Covid-19 vaccines specifically.<h4>Methods</h4>This was a 25 question, mixed methods, cross sectional email survey. …”
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Model split-based data privacy protection method for federated learning by CHEN Ka

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PSTR: A Test Case Reuse Method Based on Path Similarity by Xinyue Xu, Sinong Chen, Zhonghao Guo, Xiangxian Chen

“…For evaluation, a custom dataset derived from LeetCode problem solutions was used, and the PSTR method was compared with the classical ATR (All Test case Reuse) method. …”
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In Situ Stress Prediction in Subsurface Rocks: An Overview and a New Method by Yushuai Zhang, Shangxian Yin, Jincai Zhang

“…Methods for determining in situ stresses are reviewed, and a new approach is proposed for a better prediction of the in situ stresses. …”
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Comparison of Parametric and Nonparametric Methods for Analyzing the Bias of a Numerical Model by Isaac Mugume, Charles Basalirwa, Daniel Waiswa, Joachim Reuder, Michel d. S. Mesquita, Sulin Tao, Triphonia J. Ngailo

“…It is recommended to integrate parametric and nonparametric methods along with graphical methods for a comprehensive analysis of bias of a numerical model.…”
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Pixel-Level Non-Local Method-Based Depth Image Inpainting by Xiaoya Dai, Yingkun Hou, Shuqi Zhang, Hao Hou, Bin Feng, Tao Lin, Mengyu Liu

“…Experimental results show that the proposed method can achieve higher PSNR values than existing methods on public datasets, and the subjective visual quality of the inpainted images is also satisfactory.…”
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COMPILATION METHOD AND EXPERIMENTAL STUDY OF GRINDING MACHINE SPINDLE LOAD SPECTRUM by CHI YuLun, LI HaoLin

“…With high precision grinding technology development,the requirement for machine tool reliability is higher and higher.The load spectrum of grinding is key scientific basis of building the grinding machine spindle reliability experiment platform.Based on bearing ring machine tool grinding process,the load spectrum signal characteristic and processing method is studied through long time grinding spindle load measurement,recoding and analysis.Then,the compilation method is provided to get load spectrum.At last,the programmed load spectrum for "idle-grinding-idle"is drawn,which is consistent with real field load.It provide the loading condition and theory basis for grinding machine tool spindle reliability experiment,and also is very important to improve machine tool spindle design.…”
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Application of environmental bacteria as potential methods of azo dye degradation systems by G. Manjarrez Paba, R. Baldiris Ávila, D. Baena Baldiris

“…<br /> <strong>METHODS:</strong> The topic to be addressed was first defined through workshops with the research group. …”
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Intelligent task-oriented semantic communication method in artificial intelligence of things by Chuanhong LIU, Caili GUO, Yang YANG, Chunyan FENG, Qizheng SUN, Jiujiu CHEN

“…With the integration and development of Internet of things (IoT) and artificial intelligence (AI) technologies, traditional data centralized cloud computing processing methods are difficult to effectively remove a large amount of redundant information in data, which brings challenges to the low-latency and high-precision requirements of intelligent tasks in the artificial intelligence of things (AIoT).In response to this challenge, a semantic communication method oriented to intelligent tasks in AIoT was proposed based on the deep learning method.For image classification tasks, convolutional neural networks (CNN) were used on IoT devices to extract image feature maps.Starting from semantic concepts, semantic concepts and feature maps were associated to extract semantic relationships.Based on the semantic relationships, semantic compression was implemented to reduce the pressure of network transmission and the processing delay of intelligent tasks.Experimental and simulation results show that, compared with traditional communication scheme, the proposed method is only about 0.8% of the traditional scheme, and at the same time it has higher classification task performance.Compared with the scheme that all feature maps are transmitted, the transmission delay of the proposed method is reduced by 80% and the effective accuracy of image classification task is greatly improved.…”
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Adaptive Mixed-Attribute Data Clustering Method Based on Density Peaks by Shihua Liu

“…In this paper, we studied the adaptive improvement method of such an algorithm and proposed an adaptive mixed-attribute data clustering method based on density peaks called AMDPC. …”
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Optimization Design of Mixed Discrete Variable based on Variable Transformation Method by Lian Qinghui, Lan Zhaohui

“…The deficiency of mixed discrete variables for the current optimal design is analyzed.A variable transformation method for mixed discrete variables is proposed,that is nominal variables are set,and software or algorithm of continuous variables could be called for mathematical model.The variables transformation program is written according to their relationship with real variables.Then,the nominal variables are put into the objective function and constraint condition,and the optimal solution is got.The variables of the optimal solution and real variables have the same type,so,it needn’t to be rounded and ensured the accuracy of the optimization.The variable transformation method is applied into optimization design of spur gear transmission,and compared with the existent ordinary optimization methods.The obtained results show that the variable transformation method is simple and feasible and the optimum solution of the variable transformation method is superior to solutions of other algorithm.…”
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A Novel Coherence Reduction Method in Compressed Sensing for DOA Estimation by Jing Liu, ChongZhao Han, XiangHua Yao, Feng Lian

“…A novel method named as coherent column replacement method is proposed to reduce the coherence of a partially deterministic sensing matrix, which is comprised of highly coherent columns and random Gaussian columns. …”
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Conflict Consulting Clinic as a Method of Practical Training of Humanities Students by A. I. Strebkov, A. N. Sunami

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