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Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames 基于卷积神经网络的结肠息肉语义自动分割
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966447
Hamza Benhida, Meryem Souadi, M. El Ansari
{"title":"Convolutional Neural Network for Automated Colorectal Polyp Semantic Segmentation on Colonoscopy Frames","authors":"Hamza Benhida, Meryem Souadi, M. El Ansari","doi":"10.1109/WINCOM55661.2022.9966447","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966447","url":null,"abstract":"Colorectal cancer is one of the deadliest cancer types worldwide. Therefore, an early detection is crucial to winning the fight against this disease. In this work, to help ease polyp detection, we present a fully convolutional network for colorectal polyp semantic segmentation (FCN-SEG4). This approach uses VGG16 as the backbone for feature extraction, followed by a series of transpose convolutions to get an accurate semantic segmentation. After training the model on the CVC-clinicDB dataset, an overall precision of 86.75% was reached. We trained FCN -SEG4 using other datasets to study the effect it may have on the results. This proposal proved good potential with room for improvement especially when it comes to performance speed.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116289119","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: 2
PedVis-VGG-16: A Fine-tuned deep convolutional neural network for pedestrian image classifications 基于深度卷积神经网络的行人图像分类
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966465
Mahassine Defaoui, L. Koutti, Mohamed El Ansari, Redouan Lahmyed, L. Masmoudi
{"title":"PedVis-VGG-16: A Fine-tuned deep convolutional neural network for pedestrian image classifications","authors":"Mahassine Defaoui, L. Koutti, Mohamed El Ansari, Redouan Lahmyed, L. Masmoudi","doi":"10.1109/WINCOM55661.2022.9966465","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966465","url":null,"abstract":"Recently, pedestrian detection has attracted a lot of attention in recent years. It is known as a computer vision research hotspot, widely used in different fields. Despite the impressive progress of its approaches, their performance remains unsatisfactory. This paper proposes PedVis-Vgg-16a deep learning network for automatically detecting pedestrians presence in visible images. The suggested architecture is based on the fine-tuned VGG-16 architecture with modifications to the last block of the model. Different improvement components including data augmentation, parameter optimization, and parameter adaption, were taken to enhance the architecture performance. The newly designed architecture is validated on the publicly available dataset INRIA, which contains 4001 images and the results provided are satisfactory.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123212569","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
Hayyakum (حيَّاكم) – COVID-19 Vaccine Digital Certificate: A Blockchain Approach Hayyakum (حيَّاكم) - COVID-19疫苗数字证书:区块链方法
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966453
Hesham Salamah, Osama Elghazaly, Meshal Alsaleh, Muhammed Herwis, Omar Felimban, Asmaa Ali, Nidal Nasser, Meryeme Ayache
{"title":"Hayyakum (حيَّاكم) – COVID-19 Vaccine Digital Certificate: A Blockchain Approach","authors":"Hesham Salamah, Osama Elghazaly, Meshal Alsaleh, Muhammed Herwis, Omar Felimban, Asmaa Ali, Nidal Nasser, Meryeme Ayache","doi":"10.1109/WINCOM55661.2022.9966453","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966453","url":null,"abstract":"As a consequence of the global pandemic, many restrictions and rules were enforced. One predicament was the travel restrictions and requirements put into place with regard to vaccinations. Countries worldwide now require people to be vaccinated upon entry. The process of validating vaccine doses requires lots of paperwork and is inefficient. Blockchain is an uprising technology that is secure and fast at carrying out transactions. We propose implementing vaccine dose verifications between countries through vaccine certificates using Blockchain as an effective solution. The need for a common shared database, avoiding a trusted third party to administrate the network, having several countries involved, ensuring privacy and security, and accountability logs make Blockchain needed in this scenario. Digital vaccine certificates are very sensitive information that must be kept private and secure but accessible to several entities. Blockchain ensures the aforementioned requirements are met while preserving the integrity of the VDCs. This paper describes blockchain technology and its application in digital vaccine certificates.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133095198","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 Blockchain-Based Patient Electronic Health Record System – Etmaen (اِطْمَئِن) 基于区块链的患者电子健康记录系统- Etmaen (اِطْمَئِن)
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966469
Nouf AlObaidi, Aliyah AlTukhaifi, Mariam Alhugail, Albandari Almashari, Joud Alnowaiser, Meryeme Ayache, Nidal Nasser
{"title":"A Blockchain-Based Patient Electronic Health Record System – Etmaen (اِطْمَئِن)","authors":"Nouf AlObaidi, Aliyah AlTukhaifi, Mariam Alhugail, Albandari Almashari, Joud Alnowaiser, Meryeme Ayache, Nidal Nasser","doi":"10.1109/WINCOM55661.2022.9966469","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966469","url":null,"abstract":"In this paper, we propose a blockchain patient electronic health record system called Etmean (اِطْمَئِن) to handle medical records sharing and transfer in healthcare centers. Our main goals are to help ease the challenges faced in the healthcare sector: multiple records for one patient, difficulty prioritizing emergency rooms (ER) cases, and lack of medical records security. Blockchain is a promising, trusted technology that has a digital ledger of transactions supported by a network of computers in a form that makes it hard to hack or modify. Our implemented system fulfills privacy, security, and accessibility requirements in a healthcare sector such as hospitals and clinics.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131981040","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
Industry 4.0 concepts and implementation challenges: Literature Review 工业4.0的概念和实施挑战:文献综述
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966456
Fatima Habib, Hajar Bnouachir, M. Chergui, Abdelkrim Ammoumou
{"title":"Industry 4.0 concepts and implementation challenges: Literature Review","authors":"Fatima Habib, Hajar Bnouachir, M. Chergui, Abdelkrim Ammoumou","doi":"10.1109/WINCOM55661.2022.9966456","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966456","url":null,"abstract":"Industry 4.0 or smart manufacturing is an industrial revolution for the production systems that has a great impact on competitiveness and the various prompted lines of research. This new concept that allows to interconnect the machines between them (IOT) and facilitates production with a minimum of time and cost generates anomalies and research questions. In this paper, we will review the different research done on Industry 4.0 more specifically, literature reviews on the concept of Industry 4.0, its technologies, and implementation issues, to draw a tree structure that will help us to know and follow the different elements and technologies of this revolution, as well as the challenges of its implementation.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133548194","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: 3
Handwritten Arabic characters recognition using Capsule Networks 使用胶囊网络的手写阿拉伯字符识别
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966452
Daldali Mehdi, A. Souhar
{"title":"Handwritten Arabic characters recognition using Capsule Networks","authors":"Daldali Mehdi, A. Souhar","doi":"10.1109/WINCOM55661.2022.9966452","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966452","url":null,"abstract":"Handwritten text exhibits a diversity in styles, and unpredictable characteristics making of Handwriting Recognition (HWR) an interesting computer vision problem. In the case of Arabic script, the recognition task is especially more complex, due to its cursive nature, and emphasis on fluid and connected pen strokes, rarely seen in other scripts. Unfortunately current end-to-end approaches fail at modeling the structural aspect of visual information with high accuracy, which is detrimental for tasks such as Optical Character Recognition (OCR). Capsule networks are a neural network architecture, using a set of interesting concepts which can accurately model the structural aspect of image features, to solve some of the Arabic script recognition problems faced by other systems. Our proposed approach based on Capsules yielded interesting results using a data set of around 50 thousand Arabic characters with neither binarization nor noise reduction, while achieving more than 97% TOP-1 accuracy.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124729979","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
Review on Machine Learning Based Intrusion Detection for MANET Security 基于机器学习的MANET安全入侵检测研究进展
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966457
Wafa Bouassaba, A. Nabou, M. Ouzzif
{"title":"Review on Machine Learning Based Intrusion Detection for MANET Security","authors":"Wafa Bouassaba, A. Nabou, M. Ouzzif","doi":"10.1109/WINCOM55661.2022.9966457","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966457","url":null,"abstract":"Recently, the mobile ad hoc network (MANET) has enjoyed a great reputation thanks to its advantages such as: high performance, no expensive infrastructure to install, use of unlicensed frequency spectrum, and fast distribution of information around the transmitter. But the topology of MANETs attracts the attention of several attacks. Although authentication and encryption techniques can provide some protection, especially by minimizing the number of intrusions, such cryptographic techniques do not work effectively in the case of unseen or unknown attacks. In this case, the machine learning approach is successful to detect unfamiliar intrusive behavior. Security methodologies in MANETs mainly focus on eliminating malicious attacks, misbehaving nodes, and providing secure routing. In this paper we present to most recent works that propose or apply the concept of Machine Learning (ML) to secure the MANET environment.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124143695","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: 2
Approach for the construction of gestural interfaces to control graphical interfaces based on artificial intelligence 基于人工智能的控制图形界面的手势界面构建方法
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966424
I. Elmagrouni, Abdelaziz Ettaoufik, S. Aouad, A. Maizate, Bennani Lotfi
{"title":"Approach for the construction of gestural interfaces to control graphical interfaces based on artificial intelligence","authors":"I. Elmagrouni, Abdelaziz Ettaoufik, S. Aouad, A. Maizate, Bennani Lotfi","doi":"10.1109/WINCOM55661.2022.9966424","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966424","url":null,"abstract":"Due to hygienic concerns, the COVID-19 has accelerated the use of touchless technology, which has expedited the transition to Zero User Interface. This Interface (UI) refers to a controlled user interface that enables interaction with technology using gestures, voice, eye tracking and biometrics like contactless fingerprints and facial recognition. These control interfaces incorporate interaction techniques like speech and gestures. The advancement of touchless interaction with hand gesture interfaces is the main topic of this study, these interfaces are specialized programs that track and predict hand gestures to give alternative controls and interaction techniques. The hand gesture interface consisting of four main layers: Hand Gesture Interface, Mapping Gesture, Action, The Input Simulator, and Graphical User Interface. In addition to our interface, we employed the new algorithm for according to the hand-type classification. By doing trials on a gastronomy application, we confirm our methodology. With five volunteers, we conducted a small-scale user study to evaluate and test the hand gesture interface. User feedback indicates that the hand gesture interface is simple to be used.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"663 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123047626","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 Review on Plant Diseases Detection 植物病害检测研究进展
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966461
Halima Boukbir, Ahmed Drissi El Maliani
{"title":"A Review on Plant Diseases Detection","authors":"Halima Boukbir, Ahmed Drissi El Maliani","doi":"10.1109/WINCOM55661.2022.9966461","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966461","url":null,"abstract":"All human nutrition is based on vegetables. As a result, they are critical for crop production, ensuring that everyone has access to enough, safe, and nutritious food to live an active and healthy life. Plant diseases are a major threat to food security because they harm plants, decrease food supply and accessibility, and raise food prices. Diseases caused by microorganisms such as viruses, bacteria, and fungi pose a risk to plants. For this reason, plants must be monitored for infections from the beginning of their life cycle. The objective of this paper is to review various techniques of plant disease detection and discuss them in terms of various parameters. In this work, we present the PlantVillage dataset.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130690721","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
MOS prediction by SDN controller and User Equipment to maintain good quality for VoIP over WiFi 通过SDN控制器和用户设备进行MOS预测，以保持良好的WiFi VoIP质量
2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM) Pub Date : 2022-10-26 DOI: 10.1109/WINCOM55661.2022.9966422
Najib Mouhassine, M. Moughit
{"title":"MOS prediction by SDN controller and User Equipment to maintain good quality for VoIP over WiFi","authors":"Najib Mouhassine, M. Moughit","doi":"10.1109/WINCOM55661.2022.9966422","DOIUrl":"https://doi.org/10.1109/WINCOM55661.2022.9966422","url":null,"abstract":"In order to maintain good audio quality when a mobile user changes his attachment point, we present on this paper a model for predicting the mean opinion score (MOS) value by artificial intelligence based on network parameters such as end-to-end delay, jitter, packet loss and playout loss. This model is composed of two parts, the first is the prediction of the MOS by multilayer perceptron (MLP) implemented at the mobile node for prediction and trigger of handover, the second is the ranking of access points with a k-nearest neighbor algorithm (KNN) by SDN controller. The prediction of the handover is done when the value of the predicted MOS is less than 4.03, and trigger it when it equals 3.9, so the role of the controller is to provide users who foresee the need for a handover with the list of access points that generate a better quality of audio service. To assess the relevance of the model, we tested it in a WiFi network, which contains a VoIP server, and compare it with the technique based on the strength of the received signal (RSSI). The results of the simulation prove that we were able to maintain a VoIP quality that does not go down more than 4.3, and a significant reduction in the packet loss rate that no longer exceeds 1.2%.","PeriodicalId":128342,"journal":{"name":"2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM)","volume":"200 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127028587","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
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