Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673060
L. Guan, A. Abbasi, M. Ryan
Projects are usually exposed to numerous and interdependent risks both internally and externally, making the project risk management process essential to the successful realization of project objectives. Instead of analyzing project risks individually, this paper presents a network-based approach to capturing complex risk interdependencies while prioritizing project risks, which is grounded in the theoretical framework of social network analysis and considers two typical dimensions (i.e., risk occurrence probability, and risk impact) of risk modeling. The concept of the design structure matrix is used to facilitate the establishment of a project risk interdependency network. Five risk indicators (e.g., risk degree centrality, risk betweenness centrality, risk closeness centrality, risk local influence, and risk global influence) are tailored and proposed to prioritize project risks, which can provide project decision makers with a more comprehensive understanding of the project risk profile. Appropriate risk mitigation actions can then be formulated to mainly control critical project risks. An application example is presented to illustrate the utility and validity of the proposed approach.
{"title":"Prioritizing Project Interdependent Risks: A Network-based Approach","authors":"L. Guan, A. Abbasi, M. Ryan","doi":"10.1109/IEEM50564.2021.9673060","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673060","url":null,"abstract":"Projects are usually exposed to numerous and interdependent risks both internally and externally, making the project risk management process essential to the successful realization of project objectives. Instead of analyzing project risks individually, this paper presents a network-based approach to capturing complex risk interdependencies while prioritizing project risks, which is grounded in the theoretical framework of social network analysis and considers two typical dimensions (i.e., risk occurrence probability, and risk impact) of risk modeling. The concept of the design structure matrix is used to facilitate the establishment of a project risk interdependency network. Five risk indicators (e.g., risk degree centrality, risk betweenness centrality, risk closeness centrality, risk local influence, and risk global influence) are tailored and proposed to prioritize project risks, which can provide project decision makers with a more comprehensive understanding of the project risk profile. Appropriate risk mitigation actions can then be formulated to mainly control critical project risks. An application example is presented to illustrate the utility and validity of the proposed approach.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"28 1","pages":"1513-1517"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81788945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672891
O. Ogunrinde, E. Shittu
This study evaluates the efficiencies of renewable energy adoption in different electricity markets in the U.S. Particularly, the study investigates how uncertainties in Renewable Portfolio Standards (RPS) mandates influence the adoption of renewable energy technologies in the markets. A stochastic Data Envelopment Analysis (DEA) method was employed by combing the traditional DEA approach with a Monte-Carlo simulation technique. The study found the regions covered by markets including SPP, MISO and NE-ISO to be DEA efficient. Compared to a deterministic model, the findings reveal further insights on the performance of Decision-Making Units (DMUs) across different scenarios. In addition, the stochastic model is also better able to discriminate among DMUs and more accurately capture the performance of these units over time. For each unit, the model provides a distribution of efficiencies and for those units operating below the efficient frontier, it also provides the average renewable energy capacity addition targets to be attained.
{"title":"Analysis of Renewable Energy Adoption Efficiencies Under Uncertainty Across Electricity Markets in the U.S.","authors":"O. Ogunrinde, E. Shittu","doi":"10.1109/IEEM50564.2021.9672891","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672891","url":null,"abstract":"This study evaluates the efficiencies of renewable energy adoption in different electricity markets in the U.S. Particularly, the study investigates how uncertainties in Renewable Portfolio Standards (RPS) mandates influence the adoption of renewable energy technologies in the markets. A stochastic Data Envelopment Analysis (DEA) method was employed by combing the traditional DEA approach with a Monte-Carlo simulation technique. The study found the regions covered by markets including SPP, MISO and NE-ISO to be DEA efficient. Compared to a deterministic model, the findings reveal further insights on the performance of Decision-Making Units (DMUs) across different scenarios. In addition, the stochastic model is also better able to discriminate among DMUs and more accurately capture the performance of these units over time. For each unit, the model provides a distribution of efficiencies and for those units operating below the efficient frontier, it also provides the average renewable energy capacity addition targets to be attained.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"6 1","pages":"613-617"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84865609","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672997
M. Chaeron, A. Soepardi
In this paper, we aim to compare the tool path lengths that produced by the direction-parallel or zigzag or staircase strategy and contour-parallel strategy using a single cutter in the triangular pocket machining. The pocket geometry is chosen in such a way that the machining strategy can be carried out by single chisel. The mathematical model for chisel path length of machining process is developed then is used to contrast the chisel path length of two strategies. The specific purpose is to select the strategy that take a shorter chisel path. Based on the two numerical examples, the contour-parallel machining strategy gives the tool path length shorter than the zigzag strategy.
{"title":"A Re-evaluation of the Initial Mathematical Model for Triangular Pocket Machining Strategy","authors":"M. Chaeron, A. Soepardi","doi":"10.1109/IEEM50564.2021.9672997","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672997","url":null,"abstract":"In this paper, we aim to compare the tool path lengths that produced by the direction-parallel or zigzag or staircase strategy and contour-parallel strategy using a single cutter in the triangular pocket machining. The pocket geometry is chosen in such a way that the machining strategy can be carried out by single chisel. The mathematical model for chisel path length of machining process is developed then is used to contrast the chisel path length of two strategies. The specific purpose is to select the strategy that take a shorter chisel path. Based on the two numerical examples, the contour-parallel machining strategy gives the tool path length shorter than the zigzag strategy.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"73 1","pages":"788-791"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90589184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672792
Jingyi Zhang, D. Chang, Zhen Zhang
With the development of “E-government service”, the construction of government app has become necessary to deliver government service to citizens, and at the same time, it is of positive significance to find the shortcomings, so as to improve the service quality. Eye tracking technology has been increasingly used in the field of usability research; therefore, this study aims to analyze the state-of-art of the eye-tracking application in the field of usability evaluation of E-government App. For the purpose, content analysis was applied, and it is expected to explore the applicability of physiological experiment in government App evaluation and provide references for related experiment organization.
{"title":"Review on the Application of Eye-tracking Technology in Usability Evaluation of E-government Apps","authors":"Jingyi Zhang, D. Chang, Zhen Zhang","doi":"10.1109/IEEM50564.2021.9672792","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672792","url":null,"abstract":"With the development of “E-government service”, the construction of government app has become necessary to deliver government service to citizens, and at the same time, it is of positive significance to find the shortcomings, so as to improve the service quality. Eye tracking technology has been increasingly used in the field of usability research; therefore, this study aims to analyze the state-of-art of the eye-tracking application in the field of usability evaluation of E-government App. For the purpose, content analysis was applied, and it is expected to explore the applicability of physiological experiment in government App evaluation and provide references for related experiment organization.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"10 1","pages":"1646-1650"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90667338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672932
C. Cubo, P. Sampaio, P. Saraiva
The quality concept can be defined according to different points of view, dimensions, and characteristics. Quality can be considered as a multiscale concept. This leads to the need of understanding how quality measurements and evaluations are done across products, processes, people, organizations and territories. The aim of this paper is to build a quality holistic view to the problems that arise in different management levels through a measurement system of Quality. A preliminary literature review is presented and the main insights that come up from it are shown and explained, resulting in a definition of multiscale quality, as well as a first approach to the characterization of macro, meso and micro dimensions. The added value of this paper is the comprehension and clarification of several terms related to multiscale quality, as the terms micro, meso and macro have been increasingly used in different fields of application and knowledge. The future work intends to develop a model that can be used in companies as it integrates quality measurements of different management levels of an organization in a single integrated and consistent model.
{"title":"Multiscale Quality: Micro, Meso and Macro Concepts","authors":"C. Cubo, P. Sampaio, P. Saraiva","doi":"10.1109/IEEM50564.2021.9672932","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672932","url":null,"abstract":"The quality concept can be defined according to different points of view, dimensions, and characteristics. Quality can be considered as a multiscale concept. This leads to the need of understanding how quality measurements and evaluations are done across products, processes, people, organizations and territories. The aim of this paper is to build a quality holistic view to the problems that arise in different management levels through a measurement system of Quality. A preliminary literature review is presented and the main insights that come up from it are shown and explained, resulting in a definition of multiscale quality, as well as a first approach to the characterization of macro, meso and micro dimensions. The added value of this paper is the comprehension and clarification of several terms related to multiscale quality, as the terms micro, meso and macro have been increasingly used in different fields of application and knowledge. The future work intends to develop a model that can be used in companies as it integrates quality measurements of different management levels of an organization in a single integrated and consistent model.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"28 1","pages":"1216-1219"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90777948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672904
Karindra Aulia Rahman, B. M. Sopha
Evacuation is a critical process that affects the reduction of loss risk. Previous studies have indicated that evacuation decision-making has significantly affected the effectiveness of evacuation efforts. The present study aims at evaluating the determinants of when-to-evacuate decisions. Analytical Hierarchy Process (AHP) and Multinomial Logistics Regression (MLR) were used to identify the determinants' relative importance and assess the relationship between the determinants and when-to-evacuate decisions. An empirical survey based on a hundred respondents who have experienced the Merapi eruption was conducted. AHP indicates that the most important determinants to the least are perceived hazard, distance to disaster, trust in leaders, disaster experience, ownership of livestock, and cultural belief. Disaster experience and trust in leaders are significant determinants for early evacuation, whereas the distance to disaster and livestock ownership are significant determinants for late evacuation. Avenues for future studies are also discussed.
{"title":"Determinants of When-to-evacuate Decisions: An Empirical Investigation","authors":"Karindra Aulia Rahman, B. M. Sopha","doi":"10.1109/IEEM50564.2021.9672904","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672904","url":null,"abstract":"Evacuation is a critical process that affects the reduction of loss risk. Previous studies have indicated that evacuation decision-making has significantly affected the effectiveness of evacuation efforts. The present study aims at evaluating the determinants of when-to-evacuate decisions. Analytical Hierarchy Process (AHP) and Multinomial Logistics Regression (MLR) were used to identify the determinants' relative importance and assess the relationship between the determinants and when-to-evacuate decisions. An empirical survey based on a hundred respondents who have experienced the Merapi eruption was conducted. AHP indicates that the most important determinants to the least are perceived hazard, distance to disaster, trust in leaders, disaster experience, ownership of livestock, and cultural belief. Disaster experience and trust in leaders are significant determinants for early evacuation, whereas the distance to disaster and livestock ownership are significant determinants for late evacuation. Avenues for future studies are also discussed.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"880-884"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89201251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672987
Rajarshi Bardhan, Chi Xu, Zhiguang Cao, Puay Siew Tan
This paper considers a production planning and scheduling problem in a multi-product semiconductor wafer fabrication facility, which copes with the challenging factors including multiple re-entrant loops and diverse equipment characteristics. This work proposes a hierarchical production planning and scheduling approach that uses an iterative method for refining production plans to solve this problem. A production plan serving multiple objectives is derived by solving a linear programming problem, which is followed by a simulation run with a given scheduling rule to evaluate the performance gap. The planning and the simulation phases are executed in an iterative manner to reduce the performance gap between the planned production level and that from simulation outcome. A scheduling rule is proposed whereby the priority of a wafer is derived from the state of work-in-process (WIP) or production at that instant. The performance of the proposed method is assessed based on numerical simulations carried on Intel mini fab taking due date based demands for multiple products into consideration.
{"title":"An Iterative Scheme for Hierarchical Production Planning in Semiconductor Wafer Fabrication","authors":"Rajarshi Bardhan, Chi Xu, Zhiguang Cao, Puay Siew Tan","doi":"10.1109/IEEM50564.2021.9672987","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672987","url":null,"abstract":"This paper considers a production planning and scheduling problem in a multi-product semiconductor wafer fabrication facility, which copes with the challenging factors including multiple re-entrant loops and diverse equipment characteristics. This work proposes a hierarchical production planning and scheduling approach that uses an iterative method for refining production plans to solve this problem. A production plan serving multiple objectives is derived by solving a linear programming problem, which is followed by a simulation run with a given scheduling rule to evaluate the performance gap. The planning and the simulation phases are executed in an iterative manner to reduce the performance gap between the planned production level and that from simulation outcome. A scheduling rule is proposed whereby the priority of a wafer is derived from the state of work-in-process (WIP) or production at that instant. The performance of the proposed method is assessed based on numerical simulations carried on Intel mini fab taking due date based demands for multiple products into consideration.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"3 1","pages":"673-677"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89224457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672902
R. Adland, S. Strandenes
For the past decade, autonomous ships have been touted as the next revolution in maritime transport, on par with the switch from sail to steam. Yet, despite large research funding and effort, technological progress remain slow and commercial uptake is largely non-existent. In this paper we go through some of the key arguments for the introduction of autonomous ships in deep-sea trades and highlight some of the challenges in the business case for unmanned autonomous ships.
{"title":"Autonomous Deep-sea Shipping - The Economist's View","authors":"R. Adland, S. Strandenes","doi":"10.1109/IEEM50564.2021.9672902","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672902","url":null,"abstract":"For the past decade, autonomous ships have been touted as the next revolution in maritime transport, on par with the switch from sail to steam. Yet, despite large research funding and effort, technological progress remain slow and commercial uptake is largely non-existent. In this paper we go through some of the key arguments for the introduction of autonomous ships in deep-sea trades and highlight some of the challenges in the business case for unmanned autonomous ships.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"1 1","pages":"1584-1587"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89699581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9672814
G. Neto, L. H. Alencar, E. K. Rabbani, R. Valdes-Vasquez
The social sustainability pillar receives the least attention compared to the other pillars: environmental and economic. Nevertheless, the social pillar is fundamental to achieve the long-term objectives of construction projects. Thus, this study aims to support implementing social sustainability indicators in construction companies, contributing to more sustainable decisions. The GRI Standard's social sustainability indicators were classified in this study in three categories: (i) mandatory, (ii) which could or not be applied by the company, according to its priority, and; (iii) those not applicable for the region analyzed. For those that could be applicable, the FITradeoff method was applied to create a priority ranking accordingly to four criteria defined by the company's decision-maker: return over investment, marketing, the capacity of implementation, and team engagement. As a result, a company can implement these social indicators according to the obtained rank, enabling them to make more sustainable decisions.
{"title":"An Analysis of Social Sustainability Indicators Using FITradeoff Multicriteria Decision Method","authors":"G. Neto, L. H. Alencar, E. K. Rabbani, R. Valdes-Vasquez","doi":"10.1109/IEEM50564.2021.9672814","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9672814","url":null,"abstract":"The social sustainability pillar receives the least attention compared to the other pillars: environmental and economic. Nevertheless, the social pillar is fundamental to achieve the long-term objectives of construction projects. Thus, this study aims to support implementing social sustainability indicators in construction companies, contributing to more sustainable decisions. The GRI Standard's social sustainability indicators were classified in this study in three categories: (i) mandatory, (ii) which could or not be applied by the company, according to its priority, and; (iii) those not applicable for the region analyzed. For those that could be applicable, the FITradeoff method was applied to create a priority ranking accordingly to four criteria defined by the company's decision-maker: return over investment, marketing, the capacity of implementation, and team engagement. As a result, a company can implement these social indicators according to the obtained rank, enabling them to make more sustainable decisions.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"8 1","pages":"457-461"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86810737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-13DOI: 10.1109/IEEM50564.2021.9673087
Dinh Son Nguyen, K. T. Dang
The Covid-19 pandemic is one of the most serious global health epidemics in recent decades. Its consequences have affected hundreds of millions of people in countries around the world because of the high contagiousness and mortality rate of the virus. Since the fourth wave of Covid-19 infections broke out and spread to many cities and provinces in Vietnam, there were over 10,000 infected cases in the community within two months by the Delta coronavirus variants. Therefore, it is very necessary to have a faster and more effective method to prescreen and isolate infected patients as soon as possible. That is why the paper proposes a method using artificial intelligence techniques to detect covid-19 infected patients based on smartphone-recorded cough sounds. The learning models are built using the publicly available data as COUGHVID and Coswara. An analysis of the applicability of the learning models for prescreening Covid-19 patients in Vietnam is also mentioned in the paper.
{"title":"COVID-19 Detection Through Smartphone-recorded Coughs Using Artificial Intelligence: An Analysis of Applicability for Pre-screening COVID-19 Patients in Vietnam","authors":"Dinh Son Nguyen, K. T. Dang","doi":"10.1109/IEEM50564.2021.9673087","DOIUrl":"https://doi.org/10.1109/IEEM50564.2021.9673087","url":null,"abstract":"The Covid-19 pandemic is one of the most serious global health epidemics in recent decades. Its consequences have affected hundreds of millions of people in countries around the world because of the high contagiousness and mortality rate of the virus. Since the fourth wave of Covid-19 infections broke out and spread to many cities and provinces in Vietnam, there were over 10,000 infected cases in the community within two months by the Delta coronavirus variants. Therefore, it is very necessary to have a faster and more effective method to prescreen and isolate infected patients as soon as possible. That is why the paper proposes a method using artificial intelligence techniques to detect covid-19 infected patients based on smartphone-recorded cough sounds. The learning models are built using the publicly available data as COUGHVID and Coswara. An analysis of the applicability of the learning models for prescreening Covid-19 patients in Vietnam is also mentioned in the paper.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"25 1","pages":"1392-1396"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85776376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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