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Android App based on CNN for Covid-19 Detection using Chest X-ray Images 基于CNN的基于胸部x光图像检测Covid-19的安卓应用程序
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946916
Naçima Mellal, Khawla Bouzekri, Meriem Sabri, Salah Abdennebi
{"title":"Android App based on CNN for Covid-19 Detection using Chest X-ray Images","authors":"Naçima Mellal, Khawla Bouzekri, Meriem Sabri, Salah Abdennebi","doi":"10.1109/PAIS56586.2022.9946916","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946916","url":null,"abstract":"Covid_19 pandemic is considered a global emergency that has caused great human as well as economic loss. To attack this pandemic, we developed a convolutional neural network model (CNN) the detection of COVID-19 using Chest X-Ray images (CXR). The model is then deployed on the Android app RT2022 which is tested on real CXR images and the first results obtained, after experiments, testify to the performance of the RT2022 model. In COVID-19 detection, we achieved an accuracy of 90.60%","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121524751","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}
引用次数: 0
Texture Synthesis Using Improved Transfer Learning 纹理合成使用改进的迁移学习
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946881
Ayoub Abderrazak Maarouf, F. Hachouf
{"title":"Texture Synthesis Using Improved Transfer Learning","authors":"Ayoub Abderrazak Maarouf, F. Hachouf","doi":"10.1109/PAIS56586.2022.9946881","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946881","url":null,"abstract":"Texture synthesis has been studied for more than two decades. Recent progress in deep learning is a great opportunity to revisit the texture synthesis based on convolutional neural networks. However, texture synthesizing is still a problem of trade-off generality for efficiency. In this paper different deep pre-trained Convolutional Neural Networks, usually used in classification problems have been considered. To our knowledge, a part of the VGG-19 model, none of the studied networks have been used in texture synthesis. Alexnet, GoogLenet, VGG16, VGG19 and ResNet 50 are used. Carried tests have shown that textures for various scales and structures have been well generated, surpassing results obtained by state-of-the-art methods.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"379 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126364310","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}
引用次数: 0
Text to 3D,2D scene generation systems, Frameworks and approaches: a survey 文本到3D,2D场景生成系统，框架和方法:调查
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946876
Mostafa Anouar Ghorab, Abdelaziz Lakhfif
{"title":"Text to 3D,2D scene generation systems, Frameworks and approaches: a survey","authors":"Mostafa Anouar Ghorab, Abdelaziz Lakhfif","doi":"10.1109/PAIS56586.2022.9946876","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946876","url":null,"abstract":"Generating 3D scene and animation plays an important role in many domain of our daily life. However, the difficulty of its creating manually and its consumption of effort and time which pushed many and many researchers to shift their interest into the field of automatic 3D scene generation and precisely from natural language description. The results obtained during the last few years revived hopes for the widespread availability of 3D scenes in our daily activities. In this survey, we will give an overview of the most popular “Text” to “3D scenes” converting systems and their architectures highlighting their strengths and weaknesses.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"156 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131076589","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}
引用次数: 1
Image Restoration Using Weibull Particle Filters 使用威布尔粒子滤波器的图像恢复
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946893
Ibrahim Sadok, M. Zribi
{"title":"Image Restoration Using Weibull Particle Filters","authors":"Ibrahim Sadok, M. Zribi","doi":"10.1109/PAIS56586.2022.9946893","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946893","url":null,"abstract":"Satellite images are frequently degraded throughout the data collection process. Degradation can involve blurring and different sources of noise. Image restoration attempts to reconstruct the original image from the corrupted data. In literature, different approaches depend on Kalman filtering exist for image restoration. However, it has certain limits in terms of stability, adaptability and visibility. In this article, a new technique based on the concept of particle filtering and the Weibull distribution (WPF) is proposed to restore images degraded by noise. Our approach is recursive and handles nonlinear situations. Simulation results are eventually exhibited a good performance of the WPF over conventional particle filters.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134505197","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}
引用次数: 0
Safety-Oriented Train Control Systems Monitoring in Smart Railway Transportation: A Review 面向安全的列车控制系统监测在智能轨道交通中的研究进展
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946872
Djamila Zamouche, Sofiane Aissani, Mawloud Omar, Narimane Saad
{"title":"Safety-Oriented Train Control Systems Monitoring in Smart Railway Transportation: A Review","authors":"Djamila Zamouche, Sofiane Aissani, Mawloud Omar, Narimane Saad","doi":"10.1109/PAIS56586.2022.9946872","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946872","url":null,"abstract":"Safety in railway transportation is becoming urgent due to a large number of accidents and its severe socio-economic impact on a global scale. Currently, various smart train control systems are being developed and these are enhancing the intelligence of individual train operation control. However, this in turn raises the complexity level and the control task would be even more complex. Furthermore, due to increased train's speed, abnormal interactions between train and control system could occur, which gives a sharp increase to serious accidents. Therefore, the systems' operation must be monitored continu-ously during the train's movement to check the correctness of its own behavior while generating control commands. In this study, we conduct a survey based on relevant and recent safety monitoring approaches proposed in the literature to get an insight into the state-of-the-art of the key problems of operation safety of train control systems.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116179359","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}
引用次数: 1
Towards an Approach for Modeling and Architecting of Self-Adaptive Cyber-Physical Systems 一种自适应信息物理系统的建模与架构方法
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946921
Nabila Azeri, O. Hioual, Ouided Hioual
{"title":"Towards an Approach for Modeling and Architecting of Self-Adaptive Cyber-Physical Systems","authors":"Nabila Azeri, O. Hioual, Ouided Hioual","doi":"10.1109/PAIS56586.2022.9946921","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946921","url":null,"abstract":"Cyber-physical systems (CPS) emerge as a paradigm in which smart things actively collaborate among them, providing value-added services. The interconnection of physical things and their integration into software systems caused the CPS to be more and more complex. CPS is required to carry out a mission with minimum supervision. In fact, CPSs plan to be flexible systems that should autonomously, or with minimal manual intervention, decide how they adapt their internal behavior in response to dynamic environmental events. In this paper we discuss the CPS paradigm from the perspective of self-adaptive systems. Indeed, this will allow CPSs to modify their behavior, at runtime, in response to environment changes. We propose a multi-layer architecture for CPSs. The latter contains the main software modules that convert CPS to be self-aware, self-learning and self-reconfiguring. A case study about fault prediction in industrial CPS helps to evaluate the proposed architecture.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"71 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120919730","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}
引用次数: 1
A novel hybrid Aquila optimizer with Whale optimziation algorithm for global optimization, feature selection and optimizing SVM parameters 基于Whale优化算法的Aquila混合优化器用于全局优化、特征选择和支持向量机参数优化
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946891
Rabab Bousmaha
{"title":"A novel hybrid Aquila optimizer with Whale optimziation algorithm for global optimization, feature selection and optimizing SVM parameters","authors":"Rabab Bousmaha","doi":"10.1109/PAIS56586.2022.9946891","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946891","url":null,"abstract":"“Support vector machine (SVM)” is one of the well-known machine learning algorithms used for classification and regression tasks. The “SVM” parameters and features selection have a significant impact on the “SVM” model's complexity and classification accuracy. Finding the best set of features and selecting the appropriate parameters of “SVM” is considered an optimization problem. Different metaheuristic algorithms are employed in the literature to choose the best set of features and to optimize “SVM” parameters simultaneously. This paper presents a new algorithm hybrid based on “Aquila Optimizer” and “Whale Optimization Algorithm” with Adaptive inertial weight, called AOWOA. The AOWOA is used for global optimization and feature selection and optimizing “SVM” parameters to achieve a higher classification accuracy. We utilized two experiment series to test the presented (AOWOA) algorithm. In the first experiment, 13 standard “benchmark functions” are used and the AOWOA algorithm is compared to AO, MVO, WOA, MFO, PSO, and SSA. In the second experiment, the results of AOWOA-SVM are compared with four metaheuristic algorithms: MVO, GWO, WOA, and BAT using ten labeled datasets. The experiment results proved that AOWOA can reduce the number of features, find the optimal parameters of “SVM”, and avoids local optima with high classification accuracy in most datasets compared to other algorithms.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126524008","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}
引用次数: 1
Federated Learning paradigm in E-health systems: An overview 电子医疗系统中的联邦学习范式:概述
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946905
Abdellatif Sellamna, A. Boukhamla, Mohammed Kamel Benkaddour
{"title":"Federated Learning paradigm in E-health systems: An overview","authors":"Abdellatif Sellamna, A. Boukhamla, Mohammed Kamel Benkaddour","doi":"10.1109/PAIS56586.2022.9946905","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946905","url":null,"abstract":"Every day, professionals generate and use massive healthcare data to save, treat and ameliorate the lives of patients. The healthcare industry has adopted cloud-based solutions to solve several problems in a cost-effective manner. Therefore, privacy and security mechanisms should be deployed to protect valuable medical information from unauthorized access. Much of the work in literature in recent years has focused on using artificial intelligence techniques such as deep learning and federated learning to solve various problems in the health field. Federated learning (FL) is a special technique for machine learning for privacy preservation. This study aims to compare the traditional centralized training approach and FL to show the advantages of using FL in the medical field and prove that FL can be adopted for security and data latency in e-health systems. The results obtained showed the feasibility of FL when compared to traditional methods used in the aspect of securing data and latency in the medical field.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129155101","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}
引用次数: 0
Binary Archimedes Optimization Algorithm based Feature Selection for Regression Problem 基于特征选择的二元阿基米德优化算法求解回归问题
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946903
Djermane Amine, Haouassi Hichem, Zertal Soumia
{"title":"Binary Archimedes Optimization Algorithm based Feature Selection for Regression Problem","authors":"Djermane Amine, Haouassi Hichem, Zertal Soumia","doi":"10.1109/PAIS56586.2022.9946903","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946903","url":null,"abstract":"The use of datasets became paramount in many searches in one hand, on the other hand the rapidly growth of data size involves computational complexity and reduces model performances, this encourage us to find new methods to deal with this problem. Features Selection is the one of the main task used to resolve this issue. In this paper we propose a novel features selection method for regression task based on AOA (Archimedes Optimization Algorithm), experimental results shows that the proposed method can efficiently reduce dataset size and improve model performance.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133382798","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}
引用次数: 0
Mobile application for participatory simulation between business experts 商业专家之间参与式模拟的移动应用程序
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946901
N. Houari, N. Taghezout, Haffaf Abderrahmene, Hadj Benali Oussama Hocine
{"title":"Mobile application for participatory simulation between business experts","authors":"N. Houari, N. Taghezout, Haffaf Abderrahmene, Hadj Benali Oussama Hocine","doi":"10.1109/PAIS56586.2022.9946901","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946901","url":null,"abstract":"To better manage an enterprise, but above all to preserve and extend its lifespan, it is necessary to manage the skills and knowledge of experts in the field. This paper deals with this aspect by proposing a mobile application for the capitalization of business expert's knowledge in the form of business rules, which facilitates their management, in the industrial maintenance field. The proposed approach is based on the following steps: the introduction of business rules, the consistency check, the recommendation of business experts who are grouped into clusters with the unsupervised classification algorithm K-means, and finally, the automation of the negotiation phase using the extended CNP (Contract Net Protocol) protocol. The results obtained are very promising and make it possible to deal with inconsistency problems such as: invalid rules, contradiction, redundancy and rules that are never applicable.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124626722","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}
引用次数: 0
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