发布求助
文献互助 智能选刊 最新文献

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

筛选
英文 中文
DZchatbot: A Medical Assistant Chatbot in the Algerian Arabic Dialect using Seq2Seq Model DZchatbot:基于Seq2Seq模型的阿尔及利亚阿拉伯语医疗助理聊天机器人
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946867
Abdennour Boulesnane, Yaakoub Saidi, Oussama Kamel, Mohammed Mounir Bouhamed, Rostom Mennour
{"title":"DZchatbot: A Medical Assistant Chatbot in the Algerian Arabic Dialect using Seq2Seq Model","authors":"Abdennour Boulesnane, Yaakoub Saidi, Oussama Kamel, Mohammed Mounir Bouhamed, Rostom Mennour","doi":"10.1109/PAIS56586.2022.9946867","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946867","url":null,"abstract":"In light of the global crisis like COVID-19, many people are afraid to leave the house and visit the doctor for fear of these epidemics. On the other side, the amazing development of artificial intelligence has led to chatbots' emergence and use in several fields. Therefore, in this paper, we propose to build an automated chatbot system that interacts with people in the Arabic Algerian dialect and helps patients ask general medical questions. To achieve this purpose, we propose three sequence-to-sequence models based on three Recurrent Neural Networks encoder-decoders: Long Short-Term Memory, Bidirectional Long Short-Term Memory, and Gated Recurrent Unit, to understand the user's request and provide the right useful answer. Experimentally, we have collected medical data of 2150 pairs. The results were very promising, and the proposed chatbot performed excellently in handling user questions.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"43 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":"127220181","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 partial tours based path-scanning heuristic for the capacitated arc routing problem 基于部分行程的路径扫描启发式方法求解电容电弧布线问题
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946880
Badis Bensedira, Abdesslam Layeb, Zakaria Zendaoui
{"title":"A partial tours based path-scanning heuristic for the capacitated arc routing problem","authors":"Badis Bensedira, Abdesslam Layeb, Zakaria Zendaoui","doi":"10.1109/PAIS56586.2022.9946880","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946880","url":null,"abstract":"The Capacitated Arc Routing Problem (CARP) is known to be NP-Hard combinatorial optimization problem, and hence is not expected to be resolved in polynomial time for the general case. Consequently numerous heuristics and metaheuristics approaches have been developed to solve it. In this paper an “partial tours” based heuristic is proposed for the CARP. This approach is based on the path-scanning heuristic, one of the mostly used greedy heuristics for this problem. The innovation consists basically of creating a partial tours set to determine the promising segments in all tours. The quality of this new approach was tested on nine standard datasets and the results were compared against two path-scanning heuristics. The empirical study indicate that the “partial tours” approach gives a good results.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"1 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":"132209752","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
Lightweight Authentication Protocols for Internet of Vehicles: Network Model, Taxonomy and Challenges 车联网轻量级认证协议:网络模型、分类和挑战
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946662
Ilyes Ahmim, Nacira Ghoualmi Zine, Marwa Ahmim, Ahmed Ahmim
{"title":"Lightweight Authentication Protocols for Internet of Vehicles: Network Model, Taxonomy and Challenges","authors":"Ilyes Ahmim, Nacira Ghoualmi Zine, Marwa Ahmim, Ahmed Ahmim","doi":"10.1109/PAIS56586.2022.9946662","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946662","url":null,"abstract":"Internet of Vehicles (IoV) has dominated intelligent transportation systems (ITS) because of many traits, including compatibility with portable devices, large network scale, high processing ability, and dynamic topology systems, etc. It is particularly crucial for autonomous vehicles due to their ability to communicate with other nearby vehicles and make correct driving decisions. Since open channels are used for all communication in the IoV environment, it offers an opportunity for an adversary to extract, delete, insert, or modify data during communication. In this paper, an in-depth review of the security of IoV is presented out by discussing an authentication and key agreement model utilized in IoV communication. Then we present a taxonomy of lightweight authentication protocols in IoV, including its cryptographic techniques, evolution, and architecture. A thorough comparison study of recently proposed lightweight authentication protocols for the IoV environment is done based on security attacks, functionality features, and communication costs. Finally, we identify the existing challenges and future directions necessary to address in the near future.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"1 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":"130074469","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
On Solving Cold Start Problem in Recommender Systems Using Web of Data 利用Web of Data解决推荐系统冷启动问题
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946899
Hanane Zitouni
{"title":"On Solving Cold Start Problem in Recommender Systems Using Web of Data","authors":"Hanane Zitouni","doi":"10.1109/PAIS56586.2022.9946899","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946899","url":null,"abstract":"Data on the web has grown insanely large at a point it becomes unmanageable and very difficult to deal with using traditional tools. Hence the need for adequate tools to filter such enormous size of information and extract only the useful part has risen. Recommender systems are one of the de facto tools for such purpose. Varying from collaborative filtering to content-based filtering; their primary goal is to suggest the suitable items for the suitable users. However, due to the lack of information about both entities, especially the new ones, these systems may suffer from what is known as the cold start problem that prevents delivering appropriate recommendations. In this work, we propose a solution to overcome the two issues related the cold start problem, namely user and item cold start. The main idea is to use the web of data, a publicly available set of interlinked data and documents, to extract supplementary and useful information about new users and items which allows feeding the recommender systems with more relevant data. The proposed solution can be used an extension i.e. plug-in to an existing recommender system offering additional features to that system. The results of the experiments performed on the Movielens dataset are very promising and show the effectiveness of our proposal.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"23 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":"121714370","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
Time Series Analysis of Household Electric Consumption with XGBoost Model 基于XGBoost模型的家庭用电量时间序列分析
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946913
Bezzar Nour El Houda, Laimeche Lakhdar, A. Meraoumia
{"title":"Time Series Analysis of Household Electric Consumption with XGBoost Model","authors":"Bezzar Nour El Houda, Laimeche Lakhdar, A. Meraoumia","doi":"10.1109/PAIS56586.2022.9946913","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946913","url":null,"abstract":"Due to the improvement of population quality of life over the world and the following increase of energy demand in particularly the electricity, it has become necessary to follow the evolution of its consumption. Electricity consumption forecasting is considered as key factor in a process of improving energy efficiency, controlling consumption and reducing costs. The main objective of this paper consist to propose a forecast model for household electricity consumption using XGBoost regressor applied on a dataset which contains data collected from a house situated in Sceaux (Paris, France) between December 2006 and November 2010. The experimental results show that the proposed model achieved a higher performance for forecasting periods, particularly, in hourly and daily granularities in terms of RMSE and MAEP.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"423 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":"126191547","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
Optimized Kinematics Synergetic Control for a Car-like Mobile Robot 类车移动机器人的优化运动学协同控制
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946883
Zoulikha Bouhamatou, Foudil Abedssemed
{"title":"Optimized Kinematics Synergetic Control for a Car-like Mobile Robot","authors":"Zoulikha Bouhamatou, Foudil Abedssemed","doi":"10.1109/PAIS56586.2022.9946883","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946883","url":null,"abstract":"Kinematic synergetic control is used to control a kinematic autonomous robot Car-like Mobile Robot (CLMR). The main task of the purpose command is to make the positions converge asymptotically to the reference trajectory. The stability of the system is ensured by adopting the Lyapunov theorem. To find the optimized parameters of the SC, we applied the particle swarm optimization (PSO) algorithm. These parameters depend on which fitness function is best selected. In this purpose, the fitness function is based on the integral of the error square ISE criterion. Simulation results are performed to present the feasibility and efficiency of the proposed control methods.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"102 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":"128896052","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
Semantic segmentation of breast cancer histopathology images using deep learning 基于深度学习的乳腺癌组织病理学图像语义分割
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946874
Yasmina Benmabrouk, M. Gasmi, H. Bendjenna, Abdelmouiz Nadjah
{"title":"Semantic segmentation of breast cancer histopathology images using deep learning","authors":"Yasmina Benmabrouk, M. Gasmi, H. Bendjenna, Abdelmouiz Nadjah","doi":"10.1109/PAIS56586.2022.9946874","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946874","url":null,"abstract":"Breast cancer is one of the most prevalent cancers. Before initiating treatment, the phase of breast histopathology images' segmentation is crucial for obtaining an accurate diagnosis. The effectiveness of segmentation is frequently dependent on enormous training datasets accompanied by high-quality human annotations. However, the annotation process is labor-intensive, costly, and consumes much time. This paper proposes a novel color-detection-based method for automatically annotating breast cancer histopathology images. We also build a semantic segmentation model for breast cancer histopathology images based on deep learning using the UNet architecture allowing the pathologist to make immediate and accurate diagnoses.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"30 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":"117020366","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
Stadium Detection From Alsat-2 and Google-Earth Multispectral Images using YOLOv5 and Mask R-CNN 基于YOLOv5和Mask R-CNN的Alsat-2和Google-Earth多光谱图像的体育场检测
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946887
Mohammed Bilel Amri, Dounia Yedjour, Mohammed El Amin Larabi, Khadidja Bakhti
{"title":"Stadium Detection From Alsat-2 and Google-Earth Multispectral Images using YOLOv5 and Mask R-CNN","authors":"Mohammed Bilel Amri, Dounia Yedjour, Mohammed El Amin Larabi, Khadidja Bakhti","doi":"10.1109/PAIS56586.2022.9946887","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946887","url":null,"abstract":"Deep Learning (DL) has recently shown promise performance in remote sensing (RS) field. Object detection is one of the hottest research and challenging topic in RS due to the large variant in object distributions, complex object geometry, sun angle, scales, weather conditions, etc. In this paper, stadium detection approach based on YOLOv5 and Mask R-CNN models is proposed and tested on two multispectral datasets; Alsat-2 and Google-Earth imageries in three different scenarios. The proposed framework provides a comparative study of multi-source and single source training, considering the trade-off between the detection accuracy and the generalization capacity where the experimental results show that the average detection accuracy of the proposed technique for the merged training samples is the highest against single training source.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"11 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":"128362375","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 Biased Random-key Genetic Algorithm for Extractive Single-document Summarisation 一种用于提取单文档摘要的有偏随机密钥遗传算法
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946897
K. Chettah, A. Draa
{"title":"A Biased Random-key Genetic Algorithm for Extractive Single-document Summarisation","authors":"K. Chettah, A. Draa","doi":"10.1109/PAIS56586.2022.9946897","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946897","url":null,"abstract":"Extractive text summarization has been dealt with by several metaheuristics that proved their efficiency. In those works the feasibility of solutions has been mostly guaranteed through some operators, whose role is to check and/or correct infeasible solutions. To reduce the complexity of the task, this works proposes a Biased Random-Key Genetic Algorithm, with a newly-proposed decoder, it is adapted to extractive single-document summarization. We have tested the performances of our approach on two standard datasets, DUC-2001 and DUC-2002, through using the ROUGE-1 and ROUGE-2 metrics. The results are very promising and show that our approach outperforms other reference methods, it came first out of 14 algorithms.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"1 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":"126692666","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 of Arabic Document Analysis Methods 阿拉伯文献分析方法综述
2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS) Pub Date : 2022-10-12 DOI: 10.1109/PAIS56586.2022.9946919
Hassina Bouressace
{"title":"A Review of Arabic Document Analysis Methods","authors":"Hassina Bouressace","doi":"10.1109/PAIS56586.2022.9946919","DOIUrl":"https://doi.org/10.1109/PAIS56586.2022.9946919","url":null,"abstract":"Arabic document analysis is essential in geometrical information extraction from complex structures in Arabic documents, which can either be historical or modern. This information can be an organized tree structure containing all the component levels, such as column, paragraph, word, table, figure, and article. In this paper, we provide an analysis of recent works on this topic from various perspectives, describing the most commonly used models on document physical layout detection and document logical structure representations in printed styles, summarizing the limitations of previous approaches, identifying challenges along this line of research, and providing new research directions for future algorithms.","PeriodicalId":266229,"journal":{"name":"2022 4th International Conference on Pattern Analysis and Intelligent Systems (PAIS)","volume":"13 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":"126751331","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信