Pub Date : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00038
W. Terouzi, F. Kzaiber, A. Oussama
In order to remain competitive in a world where digital tools are dominant, the industry must continue to modernize its production tools, evolve its business models, its organization, and redesign its design and marketing modes. Thus, the industry of the future must be innovative, competitive, efficient, safe and attractive. It connects employees, production machines, service providers, and the territory. It knows how to respond to the economic, technological, organizational, environmental and societal challenges of the 21st century. The main objective of this work is to optimize and evaluate the efficiency of a new sustainable and digital analytical approach. This analytical technique, developed based on IR-ATR spectroscopy linked to multivariate analysis, was applied to samples of small green peas coming from very close geographical areas. The obtained results clearly show the robustness and the efficiency of the technique to be an analytical approach which meets the requirements of the future industry in a digital world.
{"title":"Optimization of a sustainable analytical methodology for performance improvement of industrial quality control","authors":"W. Terouzi, F. Kzaiber, A. Oussama","doi":"10.1109/ICDATA52997.2021.00038","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00038","url":null,"abstract":"In order to remain competitive in a world where digital tools are dominant, the industry must continue to modernize its production tools, evolve its business models, its organization, and redesign its design and marketing modes. Thus, the industry of the future must be innovative, competitive, efficient, safe and attractive. It connects employees, production machines, service providers, and the territory. It knows how to respond to the economic, technological, organizational, environmental and societal challenges of the 21st century. The main objective of this work is to optimize and evaluate the efficiency of a new sustainable and digital analytical approach. This analytical technique, developed based on IR-ATR spectroscopy linked to multivariate analysis, was applied to samples of small green peas coming from very close geographical areas. The obtained results clearly show the robustness and the efficiency of the technique to be an analytical approach which meets the requirements of the future industry in a digital world.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132634760","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00042
Marya Ait Isha, A. Ouchatti, Taoufik Belhoussine Drissi
The present article discusses the methodology of a Direct Torque and Flux Control (DTC) for induction motor based on six sectors powered by a three-phase two-level voltage inverter. The objective of this paper is to analyze in particular, the duality of the control between the stator flux and the electromagnetic couple using DTC strategy and to confirm the results by simulation using Matlab/Simulink, which illustrate the performances of the proposed control scheme.
{"title":"Direct Torque Control for Induction Motor","authors":"Marya Ait Isha, A. Ouchatti, Taoufik Belhoussine Drissi","doi":"10.1109/ICDATA52997.2021.00042","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00042","url":null,"abstract":"The present article discusses the methodology of a Direct Torque and Flux Control (DTC) for induction motor based on six sectors powered by a three-phase two-level voltage inverter. The objective of this paper is to analyze in particular, the duality of the control between the stator flux and the electromagnetic couple using DTC strategy and to confirm the results by simulation using Matlab/Simulink, which illustrate the performances of the proposed control scheme.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115376078","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00047
Karima Zouari, Omar Houmanat, I. Cherti, M. Bahaj
COVID-19 is one of the most dangerous pandemics in human history. First emerged in Wuhan, China, in December 2019, it has become a concern to all countries of the world. This virus only needs a short distance to spread rapidly between humans, and even if we could locate all the infected individuals, this would not solve the problem. The real solution is to identify all the people who have come in contact with the virus carrier. This paper is a study on online monitoring, intelligent assisted diagnosis, and treatment assistance for covid-19 in terms of early identification, social distancing, and quarantine. While focusing on wireless healthcare networks, the internet of things, and cloud computing. A federated or hybrid approach leverages the strengths and mitigates the weaknesses of both Data Medical Technology and IOT to detect and alert people who have been exposed to covid-19.
{"title":"Design of an Intelligent Bracelet Based on IOT and LORA Protocol to Identify New COVID-19 Contact Cases","authors":"Karima Zouari, Omar Houmanat, I. Cherti, M. Bahaj","doi":"10.1109/ICDATA52997.2021.00047","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00047","url":null,"abstract":"COVID-19 is one of the most dangerous pandemics in human history. First emerged in Wuhan, China, in December 2019, it has become a concern to all countries of the world. This virus only needs a short distance to spread rapidly between humans, and even if we could locate all the infected individuals, this would not solve the problem. The real solution is to identify all the people who have come in contact with the virus carrier. This paper is a study on online monitoring, intelligent assisted diagnosis, and treatment assistance for covid-19 in terms of early identification, social distancing, and quarantine. While focusing on wireless healthcare networks, the internet of things, and cloud computing. A federated or hybrid approach leverages the strengths and mitigates the weaknesses of both Data Medical Technology and IOT to detect and alert people who have been exposed to covid-19.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123902174","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00018
Hmamed Hala, Cherrafi Anass, B. Rajaa, Benghabrit Youssef, J. Garza‐Reyes
The world cannot overstate the importance of road traffic safety, as it is an integral part of life. As consequence, there has been recently a marked advance in the use of machine learning techniques for the assessment of road traffic crashes. This study inspects the use of machine learning to build road safety model, by recognizing many factors that lead to accident severity, related to drivers, infrastructures, vehicles…. Different classification algorithms have been conducted to predict the severity of accidents based on real dataset, Decision Tree, Naives Bayes, Support Vector Machine, K-Nearest Neighbors, and Multilayer Perceptron. We compared the performance of each algorithm using the accuracy and the Receiver Operating Characteristic (ROC), to ensure that the proposed model provides stable and reliable predictive decisions. The finding revealed that the most accurate models are Support Vector Machine, K-Nearest Neighbors and Multilayer Perceptron with respectively 91% 92% 94% against the others models.
{"title":"Machine learning techniques for forecasting the traffic accident severity","authors":"Hmamed Hala, Cherrafi Anass, B. Rajaa, Benghabrit Youssef, J. Garza‐Reyes","doi":"10.1109/ICDATA52997.2021.00018","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00018","url":null,"abstract":"The world cannot overstate the importance of road traffic safety, as it is an integral part of life. As consequence, there has been recently a marked advance in the use of machine learning techniques for the assessment of road traffic crashes. This study inspects the use of machine learning to build road safety model, by recognizing many factors that lead to accident severity, related to drivers, infrastructures, vehicles…. Different classification algorithms have been conducted to predict the severity of accidents based on real dataset, Decision Tree, Naives Bayes, Support Vector Machine, K-Nearest Neighbors, and Multilayer Perceptron. We compared the performance of each algorithm using the accuracy and the Receiver Operating Characteristic (ROC), to ensure that the proposed model provides stable and reliable predictive decisions. The finding revealed that the most accurate models are Support Vector Machine, K-Nearest Neighbors and Multilayer Perceptron with respectively 91% 92% 94% against the others models.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"27 15","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120812725","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00039
Salah Jadda, Nawfal Acha, Hafid Barka
There are several models for evaluating the contribution of Information and Communication Technologies (ICT) to the performance of organizations, while very little research has focused on the contribution of ICTs to innovation. Knowing that this is crucial for performance, Information Technology could improve the ability to detect innovation opportunities, and ICT Strategic Alignment (SA) could increase innovation. However, organizations can be confined to a particular way of “doing business” if they are not flexible in aligning their ICTs with business, which can negatively influence innovation. Likewise, if the Information System (IS) is not satisfactory, it would not positively impact innovation. This article aims to propose a conceptual model of the determinants of the maturity of the ICT Strategic Alignment and the quality of organizations' IS to assess the contribution of these two variables to innovation. This model was developed following a review of the literature which determined the factors for evaluating the strategic alignment maturity as well as the factors used to assess the Information System Success, innovation, and performance within organizations.
{"title":"Toward an assessment model of the impact of ICT Strategic Alignment Maturity and Information Systems Success on innovation and performance","authors":"Salah Jadda, Nawfal Acha, Hafid Barka","doi":"10.1109/ICDATA52997.2021.00039","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00039","url":null,"abstract":"There are several models for evaluating the contribution of Information and Communication Technologies (ICT) to the performance of organizations, while very little research has focused on the contribution of ICTs to innovation. Knowing that this is crucial for performance, Information Technology could improve the ability to detect innovation opportunities, and ICT Strategic Alignment (SA) could increase innovation. However, organizations can be confined to a particular way of “doing business” if they are not flexible in aligning their ICTs with business, which can negatively influence innovation. Likewise, if the Information System (IS) is not satisfactory, it would not positively impact innovation. This article aims to propose a conceptual model of the determinants of the maturity of the ICT Strategic Alignment and the quality of organizations' IS to assess the contribution of these two variables to innovation. This model was developed following a review of the literature which determined the factors for evaluating the strategic alignment maturity as well as the factors used to assess the Information System Success, innovation, and performance within organizations.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125157081","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00031
L. Ndiaye, Samba Diouf, Kéba Gueye, S. Ouya, G. Mendy
ICT are experiencing a boom in the evolution of mobile networks. Today the advent of 5G offers major benefits in all sectors such as education, health, agriculture etc. 5G allows very high speed access, very low latency but also good bandwidth. This will result in faster access with a much smoother data processing turnaround time for the services offered. Developing African countries must prepare to face these opportunities despite their meager resources. In this article we use the robustness of free software like open5gs to set up a latest generation mobile network with an implementation of innovative services. This shows the relevance of having a reliable new generation mobile network infrastructure at a lower cost. This article is based on a mobile network infrastructure whose radio and network access parts are software because today it is possible to emulate mobile networks with computing, in particular NFVs. It will allow the developing country of Africa to understand the importance of having its own network, especially in the context of the covid-19 pandemic where all activities have become virtual. In this context, activities such as distance learning require internet access and good bandwidth.
{"title":"Contribution to improving the conditions of access to very high speed 5G internet for online education in developing African countries","authors":"L. Ndiaye, Samba Diouf, Kéba Gueye, S. Ouya, G. Mendy","doi":"10.1109/ICDATA52997.2021.00031","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00031","url":null,"abstract":"ICT are experiencing a boom in the evolution of mobile networks. Today the advent of 5G offers major benefits in all sectors such as education, health, agriculture etc. 5G allows very high speed access, very low latency but also good bandwidth. This will result in faster access with a much smoother data processing turnaround time for the services offered. Developing African countries must prepare to face these opportunities despite their meager resources. In this article we use the robustness of free software like open5gs to set up a latest generation mobile network with an implementation of innovative services. This shows the relevance of having a reliable new generation mobile network infrastructure at a lower cost. This article is based on a mobile network infrastructure whose radio and network access parts are software because today it is possible to emulate mobile networks with computing, in particular NFVs. It will allow the developing country of Africa to understand the importance of having its own network, especially in the context of the covid-19 pandemic where all activities have become virtual. In this context, activities such as distance learning require internet access and good bandwidth.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115186525","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}
The neural network training algorithms or optimizers had already been a lively research topic for several years because they are a crucial part of the neural network structure. That is why; the choice of the training algorithm that can be used to optimize a neural network is one of the most important phases in the neural network's building. Therefore, it is necessary to choose the most adequate optimization algorithm for the desired application, in order to achieve a model that can deal with the best performances. In these papers, we are interested in the training algorithms used in supervised learning. Therefore, we present an overview and a comparative study between the most common algorithms employed to justify the choice of an optimizer, which can deal with high performances.
{"title":"The commonly used algorithms to optimize a neural network in supervised learning: Overview, and comparative study","authors":"Amri Omar, Fri Mohamed, Msaaf Mohammed, Belmajdoub Fouad","doi":"10.1109/ICDATA52997.2021.00015","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00015","url":null,"abstract":"The neural network training algorithms or optimizers had already been a lively research topic for several years because they are a crucial part of the neural network structure. That is why; the choice of the training algorithm that can be used to optimize a neural network is one of the most important phases in the neural network's building. Therefore, it is necessary to choose the most adequate optimization algorithm for the desired application, in order to achieve a model that can deal with the best performances. In these papers, we are interested in the training algorithms used in supervised learning. Therefore, we present an overview and a comparative study between the most common algorithms employed to justify the choice of an optimizer, which can deal with high performances.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126091605","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00027
Ahmed El Bakouri, F. Dimane, Mourad Bouita, M. Tayebi, K. El kharrim, D. Belghyti
The Sebou Watershed, contains an area of 40000 km2, it represents a third of the surface flows of Morocco it is characterized by a varied topography from North to South, their extent and their lithology. This variation has a strong effect on the distribution of precipitation and the flow regimes of rivers. The current study is an attempt to delineate the hydrodynamic of the different aquifers and watercourses of this Watershed. In the Rif in the north of the basin, the slopes are steep, with significant hydrographic networks, characterized by a torrential water volume, on the other hand in the south by water tables which allows the retention of a very large quantity of water of precipitation and runoff.
{"title":"Water resources in the Sebou Watershed: hydrodynamic, state and perspective","authors":"Ahmed El Bakouri, F. Dimane, Mourad Bouita, M. Tayebi, K. El kharrim, D. Belghyti","doi":"10.1109/ICDATA52997.2021.00027","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00027","url":null,"abstract":"The Sebou Watershed, contains an area of 40000 km2, it represents a third of the surface flows of Morocco it is characterized by a varied topography from North to South, their extent and their lithology. This variation has a strong effect on the distribution of precipitation and the flow regimes of rivers. The current study is an attempt to delineate the hydrodynamic of the different aquifers and watercourses of this Watershed. In the Rif in the north of the basin, the slopes are steep, with significant hydrographic networks, characterized by a torrential water volume, on the other hand in the south by water tables which allows the retention of a very large quantity of water of precipitation and runoff.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131300881","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00036
Slama Hammia, A. Hatim, A. Bouaaddi
Simultaneous Localisation and Mapping (SLAM) allows robot equipped with sensors to map its environment while locating itself in space. However, due to the computational complexity of SLAM algorithms, researches are focusing on reducing computation complexity and developing embedded systems on low resources and low complexity platforms to achieve real time requirements. Field-Programmable Gate Array (FPGA) is an attractive real-time platform for SLAM systems as they are low power and high performance. In this work, we present an EKF-SLAM (Extended Kalman Filter SLAM) prediction stage hardware architecture design and implementation on FPGA. We implemented the design using an FPGA Cyclone 2. The design can reach up to 114 MHz and uses 3507 logic elements, and it respect the real time requirements.
{"title":"Hardware Architecture of EKF-SLAM's Prediction Stage and its FPGA Implementation","authors":"Slama Hammia, A. Hatim, A. Bouaaddi","doi":"10.1109/ICDATA52997.2021.00036","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00036","url":null,"abstract":"Simultaneous Localisation and Mapping (SLAM) allows robot equipped with sensors to map its environment while locating itself in space. However, due to the computational complexity of SLAM algorithms, researches are focusing on reducing computation complexity and developing embedded systems on low resources and low complexity platforms to achieve real time requirements. Field-Programmable Gate Array (FPGA) is an attractive real-time platform for SLAM systems as they are low power and high performance. In this work, we present an EKF-SLAM (Extended Kalman Filter SLAM) prediction stage hardware architecture design and implementation on FPGA. We implemented the design using an FPGA Cyclone 2. The design can reach up to 114 MHz and uses 3507 logic elements, and it respect the real time requirements.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132972524","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 : 2021-06-01DOI: 10.1109/ICDATA52997.2021.00012
Mohamed Sraitih, Y. Jabrane, Abdelghafour Atlas
The automated classifiers can assist cardiology experts in diagnosing heart-linked illnesses with the initial and well-predicted results of classified ECG signals and data of subjects. This work serves as a review of various research works on ECG data and signals classification using supervised machine learning approaches. We presented and reviewed, the performance and the strategies used to classify cardiac arrhythmias using five widely used classifiers, Support vector machine (SVM), Random forest (RF), Decision three (DT), Naïve Bayes (NB), and K-nearest neighbour (KNN). And we discussed a variety of limitations and revealed that there is still area for increase in the classification's performance, specially by minimizing the preprocessing and feature extraction step which can cause an important computational cost and different accuracy outcomes. Such a coordinated research review allows scientists to merge an unobstructed view on some aspects of ECG classification for the identification of the research issues unmet so far. We plan to consider the obstacles discussed and some limitations to further raise the classification performance of the automated classifiers for the applicability of such solutions in clinical diagnosis.
{"title":"An overview on machine learning methods for ECG Heartbeat Arrhythmia Classification","authors":"Mohamed Sraitih, Y. Jabrane, Abdelghafour Atlas","doi":"10.1109/ICDATA52997.2021.00012","DOIUrl":"https://doi.org/10.1109/ICDATA52997.2021.00012","url":null,"abstract":"The automated classifiers can assist cardiology experts in diagnosing heart-linked illnesses with the initial and well-predicted results of classified ECG signals and data of subjects. This work serves as a review of various research works on ECG data and signals classification using supervised machine learning approaches. We presented and reviewed, the performance and the strategies used to classify cardiac arrhythmias using five widely used classifiers, Support vector machine (SVM), Random forest (RF), Decision three (DT), Naïve Bayes (NB), and K-nearest neighbour (KNN). And we discussed a variety of limitations and revealed that there is still area for increase in the classification's performance, specially by minimizing the preprocessing and feature extraction step which can cause an important computational cost and different accuracy outcomes. Such a coordinated research review allows scientists to merge an unobstructed view on some aspects of ECG classification for the identification of the research issues unmet so far. We plan to consider the obstacles discussed and some limitations to further raise the classification performance of the automated classifiers for the applicability of such solutions in clinical diagnosis.","PeriodicalId":231714,"journal":{"name":"2021 International Conference on Digital Age & Technological Advances for Sustainable Development (ICDATA)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123937270","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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