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2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)最新文献

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Abnormalities Classification in WCE Images Using Pretrained Deep Learning Networks 基于预训练深度学习网络的WCE图像异常分类
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946892
Dallel Bouyaya, S. Benierbah
{"title":"Abnormalities Classification in WCE Images Using Pretrained Deep Learning Networks","authors":"Dallel Bouyaya, S. Benierbah","doi":"10.1109/PAIS56586.2022.9946892","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946892","url":null,"abstract":"Wireless capsule endoscope (WCE) is the only device that provides endoscopic images of the entire small intestine. However, because of the large number of images it produces, the physicians need to spend a long time reviewing them, for the diagnosis. Therefore, Automatic computer-aided diagnosis tools are highly needed, to reduce the burden of physicians. In this paper, we present an automatic classification of different lesions in WCE images. We propose a deep learning method based on an ensemble of two pre-trained convolutional neural networks (CNN), namely MobileNet and DenseNet169. The extracted features from the entire selected architectures are concatenated and then fed into a multilayer perceptron, for the classification task. Experimental results proved that the proposed method improves the performance compared to the individual CNN classifiers.","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":"124402899","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
Morphological Operations and Artificial Neural Networks for Multi-scale colored texture classification 多尺度彩色纹理分类的形态学操作与人工神经网络
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946877
Belal Khaldi, Yacine Khaldi, Hanane Azzaoui, Oussama Aiadi, M. L. Kherfi
{"title":"Morphological Operations and Artificial Neural Networks for Multi-scale colored texture classification","authors":"Belal Khaldi, Yacine Khaldi, Hanane Azzaoui, Oussama Aiadi, M. L. Kherfi","doi":"10.1109/PAIS56586.2022.9946877","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946877","url":null,"abstract":"Among image descriptors, texture is one of the most used features to represent the visual content of images. According to several studies, texture could be seen differently based on the selected scale of interest (SoI), which raises a serious problem of finding the appropriate SoI. To tackle this issue, a new scheme based on mathematical morphology and artificial neural networks (ANN) has been introduced. Firstly, the image is subjected to a series of morphological operations to extract the different SoIs. From each SoI, a set of color features are extracted and fed to two successive ANNs in order to categorize the textures. The present scheme maintains the extraction of both color and multi-scale texture information. A comprehensive experimental comparison has been conducted where the present scheme has outperformed other widely known texture and CNN-based descriptors.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"28 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":"122478226","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
Internet of Things (IoT): Architecture, Applications, and Security Challenges 物联网(IoT):架构、应用和安全挑战
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946918
Rabah Kenaza, Ameur Khemane, H. Bendjenna, A. Meraoumia, Laimeche Lakhdar
{"title":"Internet of Things (IoT): Architecture, Applications, and Security Challenges","authors":"Rabah Kenaza, Ameur Khemane, H. Bendjenna, A. Meraoumia, Laimeche Lakhdar","doi":"10.1109/PAIS56586.2022.9946918","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946918","url":null,"abstract":"The Internet, a revolutionary invention that is constantly evolving, is always transforming into a new type of software and very small hardware which makes it inevitable in our daily use. The forms of communication are known as either human-human or human-machine, this paper presents an overview of the Internet of Things (IoT). It consists of four sections. The first section will describe the five-layer IoT architecture. The second section will address IoT applications. the Third section will indicate the security challenges in the relevant major IoT architecture layers. The last one will provide some solutions existing in the literature to deal with IoT security problems.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"47 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":"129552759","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
An Enhanced of Secure Authentication Scheme for the Internet of Things 一种增强的物联网安全认证方案
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946906
Marwa Ahmim, Abderrahmane Adjabi, Ahmim Ahmed, Sarra Namane
{"title":"An Enhanced of Secure Authentication Scheme for the Internet of Things","authors":"Marwa Ahmim, Abderrahmane Adjabi, Ahmim Ahmed, Sarra Namane","doi":"10.1109/PAIS56586.2022.9946906","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946906","url":null,"abstract":"In this paper, we cryptanalyze the authentication scheme proposed by Wang et al. [1] by pointing out that their scheme of authentication is vulnerable to several attacks. Afterwards, an Enhanced Secure Authentication Scheme (E-SAS) is presented to solve the security flaws of SAS. The informal security analysis and the formal security verification by the AVISPA tool illustrate that E-SAS is secure face to several active and passive security attacks. Therefore, the performance and security comparisons demonstrate that the E-SAS ensures robust security with less communication and computational overhead.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"119 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":"134205445","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
Toward the First Decision Support System for Marine Aquaculture Monitoring in Algeria 阿尔及利亚第一个海洋水产养殖监测决策支持系统
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946920
Kahina Semar-Bitah, Meriem Mouzai, Asma Manel Kherchi, Toufik Milla, Dalila Bougrid, Hakima Bourahla
{"title":"Toward the First Decision Support System for Marine Aquaculture Monitoring in Algeria","authors":"Kahina Semar-Bitah, Meriem Mouzai, Asma Manel Kherchi, Toufik Milla, Dalila Bougrid, Hakima Bourahla","doi":"10.1109/PAIS56586.2022.9946920","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946920","url":null,"abstract":"The fisheries and aquaculture sector has significant potential for economic diversification and job creation, particu-larly in isolated coastal and rural areas. The contribution of this sector to the economy must increase since the context requires it. Therefore, its management in Algeria represents a crucial problem because of its impact on the environment and human life. This paper presents the first extensible, scalable, agile, and incremental decision support system allowing for the preservation of this wealth in Algeria. The developed system is structured in three parts: data collection, data storage and processing and restitution of this data in a dashboard and mapping. To conclude, this system can help provide better visibility to Algerian decision-makers, allowing optimal management of this wealth with the ultimate goal of improving the lives of Algerian citizens.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"26 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":"130737439","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
Classification of ECG Arrhythmia using Artificial Intelligence techniques (RBF and SVM) 基于人工智能技术(RBF和SVM)的心电失常分类
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946873
R. Bouchouareb, K. Ferroudji
{"title":"Classification of ECG Arrhythmia using Artificial Intelligence techniques (RBF and SVM)","authors":"R. Bouchouareb, K. Ferroudji","doi":"10.1109/PAIS56586.2022.9946873","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946873","url":null,"abstract":"Electrocardiogram (ECG) is a test that measures the electrical performance of the heart. It is one of the most important tests in the field of medicine because we used it to detect all heart problems. To observe the results of this test we applied Artificial Neural Network exactly Radial-Based Functional Network (RBF) and Support Vector Machine (SVM) which belongs to supervised machine-learning approaches. These algorithms are used to predict the classification of ECG signals. Each of these techniques is exploited for classification and regression purposes. The goal is to classify the normal and abnormal beats in ECG signals with a very low error rate and good accuracy. A comparison between the value of the accuracy and roc curves acquired during this work gives us an idea about the effectiveness of each approach in the classification of heartbeats. In this work MIT-BIH Arrhythmia database is exploited.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"70 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":"133126052","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 Method of Requirements Analysis for Big Data Projects 大数据项目需求分析的新方法
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946665
Chabane Djeddi, N. Zarour, Pierre-Jean Charrel
{"title":"A Novel Method of Requirements Analysis for Big Data Projects","authors":"Chabane Djeddi, N. Zarour, Pierre-Jean Charrel","doi":"10.1109/PAIS56586.2022.9946665","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946665","url":null,"abstract":"Requirements engineering has a proven track record in reducing failures in typical IT projects. Big data projects are even more complex in terms of development and they too have experienced a lot of failure. The majority of research has focused on data analysis, the decision-making process and a little less on storage. However, few works have focused on the upstream phase on which all the other development phases depend on it. Our contributions to reduce the failure rate of IT projects lie in the proposal of a requirements engineering process dedicated to the specific characteristics of big data. Particularly in this work, we propose a new method for the activity of requirements analysis for the development of big data projects.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"25 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":"125743799","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
A Review on Recent Machine Learning Applications for Addiction Disorders 机器学习在成瘾障碍中的最新应用综述
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946888
Amina Bouhadja, Abdelkrim Bouramoul
{"title":"A Review on Recent Machine Learning Applications for Addiction Disorders","authors":"Amina Bouhadja, Abdelkrim Bouramoul","doi":"10.1109/PAIS56586.2022.9946888","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946888","url":null,"abstract":"Constant contributions of Machine Learning (ML) technology in health sciences has extended to solve addiction disorders problems, whether to detect symptoms or predict risks and treatment outcomes. This article presents an updated review related to the application of ML techniques for addiction disorders, the selected works covered substance addiction (N=18 studies) and non-substance addiction (N=3 studies), and were divided into three categories prognosis, diagnosis, and predicting treatment success. To provide strong evidence about the potential of ML methods to accelerate early prevention and intervention, ultimately aiming to pave the way for further applications of ML approaches in this field.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"154 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":"132335915","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
Formal Specification and Verification for Organization-based systems : A Survey 基于组织的系统的正式规范和验证:综述
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946660
Samra Sabeg, Toufik Messaoud Maarouk, Mohammed El Habib Souidi
{"title":"Formal Specification and Verification for Organization-based systems : A Survey","authors":"Samra Sabeg, Toufik Messaoud Maarouk, Mohammed El Habib Souidi","doi":"10.1109/PAIS56586.2022.9946660","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946660","url":null,"abstract":"Recently, developing organizational multi-agent systems (MAS) is very difficult due to their dynamism and complexity. Consequently, checking the correctness of these MAS is a complicated task. This paper proposes a survey of the relevant works dealing with formalizing organizational models in multi-agent systems. For this purpose, we analyse the essential studies in the domain. Then, we report an excellent discussion of these relevant approaches according to specific criteria. Lastly, we propose certain challenges to improve the formal specification process in organizational multi-agent systems.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"187 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":"115957998","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
Deep Reinforcement Learning for automatic landing of airships on Ahagar terrains 飞艇在阿格尔地形上自动降落的深度强化学习
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946909
Hani Khaldi, Drifa Benlamnoua, Belal Khaldi, Yacine Khaldi, Hanane Azzaoui
{"title":"Deep Reinforcement Learning for automatic landing of airships on Ahagar terrains","authors":"Hani Khaldi, Drifa Benlamnoua, Belal Khaldi, Yacine Khaldi, Hanane Azzaoui","doi":"10.1109/PAIS56586.2022.9946909","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946909","url":null,"abstract":"Algeria is a vast country holding many touristic areas that need to be discovered. The problem arises from the difficulties of landing an airship in some of these areas due to their hard nature. In this paper, we discuss, for the first time, the problem of automatically landing an airship on dangerous terrain in the Ahagar environment. Due to its effectiveness, deep Q-learning (DQL) has been employed for realizing such a task. Our proposed landing model has yielded satisfactory results in normal cases. To examine the stability of the proposed model, it has been subjected to two random forces which are wind and engine failure. The proposed model has proven stability to a certain extent after which the landing becomes dangerous. The proposed model can be employed for two tasks, the first one is the automatic landing of airships on Ahagar, and the second one is the prediction of landing outcomes in case of the presence of random forces.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"26 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114010039","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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