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73,609 results

5. Estimation of Parameters in the SIR Model Using a Particle Swarm Optimization Algorithm

Author

Marquardt, Niklas, Hendriok, Leo, Haus, Benedikt, Mercorelli, Paolo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello, Carlos A. Coello, editor, Rathore, Hemant, editor, and Bansal, Jagdish Chand, editor

Published
2024
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9. Designing an Enhanced Swarm-Based Optimization Algorithm for High Utility Itemsets Mining

Author

Juyal, Yogesh, Sharma, Sonal, Sharma, Harish Dutt, Singh, Parminder, Mishra, Sanjay, Dhyani, Saurabh, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Owoc, Mieczyslaw Lech, editor, Varghese Sicily, Felix Enigo, editor, Rajaram, Kanchana, editor, and Balasundaram, Prabavathy, editor

Published
2024
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10. Performance Analysis of Network Coverage Area in WSN Using Optimization Techniques

Author

Prabhu, R., Nagarajan, R., Kalis, K. R. N., Kannadhasan, S., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish C., editor

Published
2024
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11. Modeling and Predicting the Mechanical Behavior of Standard Insulating Kraft Paper Used in Power Transformers under Thermal Aging.

Author

Sayadi, Ahmed, Mahi, Djillali, Fofana, Issouf, Bessissa, Lakhdar, Bessedik, Sid Ahmed, Arroyo-Fernandez, Oscar Henry, and Jalbert, Jocelyn

Subjects
*POWER transformers, *KRAFT paper, *SOCIAL norms, *MECHANICAL models, *PARTICLE swarm optimization, *DEGREE of polymerization
Abstract

The aim of this research is to predict the mechanical properties along with the behaviors of standard insulating paper used in power transformers under thermal aging. This is conducted by applying an artificial neural network (ANN) trained with a multiple regression model and a particle swarm optimization (MR-PSO) model. The aging of the paper insulation is monitored directly by the tensile strength and the degree of polymerization of the solid insulation and indirectly by chemical markers using 2-furfuraldehyde compound content in oil (2-FAL). A mathematical model is then developed to simulate the mechanical properties (degree of polymerization (DPV) and tensile index (Tidx)) of the aged insulation paper. First, the datasets obtained from experimental results are used to create the MR model, and then the optimizer method PSO is used to optimize its coefficients in order to improve the MR model. Then, an ANN method is trained using the MR-PSO to create a nonlinear correlation between the DPV and the time, temperature, and 2-FAL values. The acquired results are assessed and compared with the experimental data. The model presents almost the same behavior. In particular, it has the capability to accurately simulate the nonlinear property behavior of insulation under thermal aging with an acceptable margin of error. Since the life expectancy of power transformers is directly related to that of the insulating paper, the proposed model can be useful to maintenance planners. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Advanced reliability and safety methodologies and novel applications (Selected papers of the international conference of QR2MSE2023).

Author

Huang, Hong‐Zhong, Li, He, and Li, Yanfeng

Subjects
*REMAINING useful life, *FAILURE mode & effects analysis, *PARTICLE swarm optimization, *RELIABILITY in engineering, *STRUCTURAL reliability, *FAULT trees (Reliability engineering), *FATIGUE life, *DEEP learning
Abstract

This document is a summary of a special issue of the journal Quality & Reliability Engineering International. The issue showcases original research presented at the 2023 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering. The research papers cover a diverse range of topics related to reliability and safety in modern engineering systems. The papers address areas such as reliability modeling and analysis, reliability-based design and optimization, failure/safety analysis and prevention, and maintainability. The authors express their appreciation to the journal and the reviewers for their support and hope that the research presented will be valuable to researchers, engineers, scientists, and students in the field. [Extracted from the article]

Published
2024
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13. Design of Intelligent Political Test Paper Generation Method Based on Improved Intelligent Optimization Algorithm.

Author

Qing Wan

Subjects
OPTIMIZATION algorithms, REAL numbers, SECURITIES trading, POLITICAL philosophy, PARTICLE swarm optimization, POLITICAL doctrines
Abstract

With the development of artificial intelligence, computer intelligent grouping, as a research hotspot of political ideology examination paper proposition, can greatly shorten the time of generating examination papers, reduce the human cost, reduce the human factor, and improve the quality of political ideology teaching evaluation. Aiming at the problem that the current political ideology examination paper-grouping strategy method easily falls into the local optimum, a kind of intelligent paper-grouping method for political ideology examination based on the improved stock market trading optimisation algorithm is proposed. Firstly, by analyzing the traditional steps of political test paper generation, according to the index genus of the grouping problem and the condition constraints, we construct the grouping model of political thought test questions; then, combining the segmented real number coding method and the fitness function, we use the securities market trading optimization algorithm based on the Circle chaotic mapping initialization strategy and adaptive tdistribution variability strategy to solve the grouping problem of the political thought test. The experimental results show that the method can effectively find the optimal strategy of political thought exam grouping, and the test questions have higher knowledge point coverage, moderate difficulty, and more stable performance. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Container-Driven Scheduling Strategy for Scientific Workflows in Multi-vCPU Environments

Author

Xiang, Peng, Lin, Bing, Yu, Hongjie, Liu, Dui, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Guo, Yinzhang, editor, Song, Xiaoxia, editor, Fan, Hongfei, editor, Liu, Dongning, editor, Gao, Liping, editor, and Du, Bowen, editor

Published
2023
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18. Proving Ground Correlation Method Based on Optimized Particle Swarm Optimization Algorithm

Author

Dong, Qiangqiang, Hao, Pengxiang, Yang, Jiansen, Guo, Ran, Feng, Xiao, China Society of Automotive Engineers, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, and Zhang, Junjie James, Series Editor

Published
2023
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19. Model based control of dissolved oxygen in paper mill effluent using response surface methodology.

Author

Aravinda, P. and Sumathib, J.

Subjects
RESPONSE surfaces (Statistics), PAPER mills, PARTICLE swarm optimization, SEWAGE, BATCH reactors
Abstract

In this work, for analysis, one and half liters of (effluent) waste water from paper mill industry was used in batch reactor, to study the variations in DO values under three operating conditions are speed, concentration of effluent in water and time with respect to step change in oxygen feed. The experiment was done 270 trails under specified operating conditions. Experimental data were collected, many trials were done using response surface method (RSM) and respective optimum values of three operating parameters were obtained for DO value ranging from 5 to 6 ppm. In trials, RSM predicted 82.732 % effluent to water concentration, stirrer speed at 150 rpm and at 0.091 min predicted DO is 5.7 ppm, from obtained experimental results shown in figure 3 for 80 % and 90 % concentration. RSM predicted optimal conditions are considered for experimental study and three control strategies such as particle swarm optimization (PSO) based PID control and state feedback controller with Integral action and state observer were used to achieve desired DO value. A comparative study was done among three controllers and it was concluded that state feedback controller with Integral action based control strategy yield better closed loop results in-terms of time-domain and stability analysis. [ABSTRACT FROM AUTHOR]

Published
2024
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20. A General-Purpose Multi-stage Multi-group Machine Learning Framework for Knowledge Discovery and Decision Support

Author

Lee, Eva K., Yuan, Fan, Man, Barton J., Egan, Brent, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Coenen, Frans, editor, Fred, Ana, editor, Aveiro, David, editor, Dietz, Jan, editor, Bernardino, Jorge, editor, and Masciari, Elio, editor

Published
2023
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21. Resource Allocation for Device-to-Device Networks Using WOA and PSO Algorithms

Author

Vijaya Lakshmi, A., Pavankalyan, Banothu, Reddy, Avanghapuram Surya Prakash, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Das, Swagatam, editor, Saha, Snehanshu, editor, Coello Coello, Carlos A., editor, and Bansal, Jagdish Chand, editor

Published
2023
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24. Multi-response Characteristics Optimization of a Paper-based Composite using Taguchi Method and Particle Swarm Optimization

Author

Phengky Pangestu, Azizah Hadny Qurrota Ayun, Rizca Tri Wulandari, Ekty Nabilah, and Eko Pujiyanto

Subjects
paper-based composite, tensile, bending, impact, taguchi, particle swarm optimization, Industrial engineering. Management engineering, T55.4-60.8
Abstract

Our dependency towards wood has reduced the number of forests especially in Indonesia. Hence, many people tried to use another material as a replacement of wood. One of them is composite. Department of Industrial Engineering Universitas Sebelas Maret has developed paper-based composite using newspaper waste in Praktikum Perancangan Teknik Industri (PPTI) II. Unfortunately, the quality of composite is not so good. This paper tried to understand the effect of factors to responses and discover the best combination of factors to obtain the best responses. The responses of this experiment are tensile strength, bending strength and impact value. The factors of this experiment are paper pulp, PVAc glue and water. Taguchi method is used to find the appropriate orthogonal array and Particle Swarm Optimization method to find the optimum combination of the factors. Orthogonal array used in this experiment is L9 (34). Through analysis, all of the factors are significant to tensile and bending strength, but they are not significant to impact value. The best combination of factors is 175 grams paper pulp, 130 grams PVAc glue and 175 ml water. Optimum results obtained for tensile strength is 0.7595 N/mm2, bending strength is 4.873 N/mm2 and impact value is 0.0138 J/mm2.

Published
2020
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25. Fitness Landscape Ruggedness Impact on PSO in Dealing with Three Variants of the Travelling Salesman Problem

Author

Nourmohammadzadeh, Abtin, Sarhani, Malek, Voß, Stefan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Simos, Dimitris E., editor, Rasskazova, Varvara A., editor, Archetti, Francesco, editor, Kotsireas, Ilias S., editor, and Pardalos, Panos M., editor

Published
2022
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26. A PSO Based Multi-view Hierarchical Clustering Method

Author

Zhou, Zhongyu, Li, Jianfu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zu, Qiaohong, editor, Tang, Yong, editor, Mladenovic, Vladimir, editor, Naseer, Aisha, editor, and Wan, Jizheng, editor

Published
2022
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27. Minimum-Energy Computation Offloading in Mobile Edge Computing with Hybrid PSO-DE Algorithm

Author

Zhang, Xiao, Tan, Wenan, Zhou, Xin, Cai, Xiaojuan, Niu, Weinan, Xu, Panwang, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Cao, Buqing, editor, Fan, Hongfei, editor, Liu, Dongning, editor, Du, Bowen, editor, and Gao, Liping, editor

Published
2022
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28. Compressed-Coding Particle Swarm Optimization for Large-Scale Feature Selection

Author

Yang, Jia-Quan, Zhan, Zhi-Hui, Li, Tao, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Sun, Yuqing, editor, Lu, Tun, editor, Cao, Buqing, editor, Fan, Hongfei, editor, Liu, Dongning, editor, Du, Bowen, editor, and Gao, Liping, editor

Published
2022
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29. Hybrid Approaches to Vehicle Routing Problem in Daily Newspaper Distribution Planning: A Real Case Study

Author

Cömert, Gizem Deniz, Yıldız, Uğur, Özcan, Tuncay, Camgöz Akdağ, Hatice, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Durakbasa, Numan M., editor, and Gençyılmaz, M. Güneş, editor

Published
2022
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30. Maximizing the Eigenvalue-Gap and Promoting Sparsity of Doubly Stochastic Matrices with PSO

Author

Syriopoulos, Panos K., Kalampalikis, Nektarios G., Vrahatis, Michael N., Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Simos, Dimitris E., editor, Rasskazova, Varvara A., editor, Archetti, Francesco, editor, Kotsireas, Ilias S., editor, and Pardalos, Panos M., editor

Published
2022
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31. Synthesis of Trajectory Planning Algorithms Using Evolutionary Optimization Algorithms

Author

Malyshev, Dmitry, Cherkasov, Vladislav, Rybak, Larisa, Diveev, Askhat, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Olenev, Nicholas, editor, Evtushenko, Yuri, editor, Jaćimović, Milojica, editor, Khachay, Michael, editor, Malkova, Vlasta, editor, and Pospelov, Igor, editor

Published
2022
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35. Soft Optimal Computing to Identify Surface Roughness in Manufacturing Using a Gaussian and a Trigonometric Regressor

Author

Haus, Benedikt, Mercorelli, Paolo, Yap, Jin Siang, Schäfer, Lennart, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Patel, Kanubhai K., editor, Doctor, Gayatri, editor, Patel, Atul, editor, and Lingras, Pawan, editor

Published
2022
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37. Smart Tiling for Program Optimization and Parallelization

Author

Chemeris, Alexander, Sushko, Sergii, Reznikova, Svetlana, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Tuzikov, Alexander V., editor, Belotserkovsky, Alexei M., editor, and Lukashevich, Marina M., editor

Published
2022
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38. Modeling and Predicting the Mechanical Behavior of Standard Insulating Kraft Paper Used in Power Transformers under Thermal Aging

Author

Ahmed Sayadi, Djillali Mahi, Issouf Fofana, Lakhdar Bessissa, Sid Ahmed Bessedik, Oscar Henry Arroyo-Fernandez, and Jocelyn Jalbert

Subjects
modeling, prediction, mechanical behavior, particle swarm optimization, neural networks, power transformers, Technology
Abstract

The aim of this research is to predict the mechanical properties along with the behaviors of standard insulating paper used in power transformers under thermal aging. This is conducted by applying an artificial neural network (ANN) trained with a multiple regression model and a particle swarm optimization (MR-PSO) model. The aging of the paper insulation is monitored directly by the tensile strength and the degree of polymerization of the solid insulation and indirectly by chemical markers using 2-furfuraldehyde compound content in oil (2-FAL). A mathematical model is then developed to simulate the mechanical properties (degree of polymerization (DPV) and tensile index (Tidx)) of the aged insulation paper. First, the datasets obtained from experimental results are used to create the MR model, and then the optimizer method PSO is used to optimize its coefficients in order to improve the MR model. Then, an ANN method is trained using the MR-PSO to create a nonlinear correlation between the DPV and the time, temperature, and 2-FAL values. The acquired results are assessed and compared with the experimental data. The model presents almost the same behavior. In particular, it has the capability to accurately simulate the nonlinear property behavior of insulation under thermal aging with an acceptable margin of error. Since the life expectancy of power transformers is directly related to that of the insulating paper, the proposed model can be useful to maintenance planners.

Published
2023
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39. Fuel Consumption Optimization for Dual-Motor Planetary Coupling PHEV Based on Adaptive Multi-target Compensation Factor

Author

Liang, Cong, Xu, Xing, Wang, Feng, Zhou, Zhiguang, China Society of Automotive Engineers, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, and Zhang, Junjie James, Series Editor

Published
2021
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40. Using Particle Swarm Optimization with Gradient Descent for Parameter Learning in Convolutional Neural Networks

Author

Wessels, Steven, van der Haar, Dustin, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Tavares, João Manuel R. S., editor, Papa, João Paulo, editor, and González Hidalgo, Manuel, editor

Published
2021
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41. Model-Based Peak Power Estimation of Lithium-Ion Batteries for Electric Vehicles

Author

Shun, Xiang, Ying, Zheng, Munan, Hong, Qian, Zhu, Yazhou, Guo, Bo, Liu, Bo, Yang, China Society of Automotive Engineers, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, and Zhang, Junjie James, Series Editor

Published
2021
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42. Multi-objective Collaborative Optimization of Multi-level Inventory: A Model Driven by After-Sales Service

Author

Ma, Mingxuan, Lang, Yiping, Liu, Xia, Mao, Wendao, Fan, Lilin, Liu, Chunhong, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zu, Qiaohong, editor, Tang, Yong, editor, and Mladenović, Vladimir, editor

Published
2021
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43. Multiobjective Particle Swarm Optimization with Directional Search for Distributed Permutation Flow Shop Scheduling Problem

Author

Zhang, Wenqiang, Hou, Wenlin, Yang, Diji, Xing, Zheng, Gen, Mitsuo, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Pan, Linqiang, editor, Liang, Jing, editor, and Qu, Boyang, editor

Published
2020
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