2023 Intelligent Methods, Systems, and Applications (IMSA)最新文献_第10页

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2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/imsa58542.2023.10217523

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Compiler-based Web Services code conversion model for different languages of mobile application 基于编译器的Web服务代码转换模型，适用于不同语言的移动应用程序

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/IMSA58542.2023.10217471

Amira T. Mahmoud, A. A. Muhammad, A. Yousef, Walaa Medhat, Hala H. Zayed, Sahar Selim

{"title":"Compiler-based Web Services code conversion model for different languages of mobile application","authors":"Amira T. Mahmoud, A. A. Muhammad, A. Yousef, Walaa Medhat, Hala H. Zayed, Sahar Selim","doi":"10.1109/IMSA58542.2023.10217471","DOIUrl":"https://doi.org/10.1109/IMSA58542.2023.10217471","url":null,"abstract":"Mobile applications are very popular nowadays. The two most common platforms depend on different languages to have native performance. Most trans-compiler-based converters between those languages didn’t take webservices conversion into consideration. However, in recent years, mobile applications developers have used web services for lighter and more dynamic mobile applications. Therefore, it becomes crucial to include web services mapping to the trans-compiler-based code converters for mobile applications code. In this paper, we present a model for web service trans-compiler code mapper from swift for iOS to java for Android to be integrated to previous trans-pilers. The testing for the conversion accuracy is done for six different web services functions. The average accuracy of converting webservice calling from iOS to Android is 89.3%. In addition, due to the rise of generative language models and their capability to generate code, we compare OpenAI’s chatGPT to our tool, evaluating its capabilities for code translation and exploring the potential of prompt engineering for seamless integration into our trans-compiler tool.","PeriodicalId":110239,"journal":{"name":"2023 Intelligent Methods, Systems, and Applications (IMSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114358507","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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Emotion to Detect: Facial Expression Recognition by CNN 情感检测:CNN的面部表情识别

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/IMSA58542.2023.10217748

Salma AlWardany, Salma Hossam, Kareem Moussa, M. Darweesh

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Comparative Study of Alzheimer’s disease Classification using Transfer Learning Models 基于迁移学习模型的阿尔茨海默病分类比较研究

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/IMSA58542.2023.10217654

Habiba Mohamed, Abdelaziz Ashraf, Abdelrahman Ezzeldin Nagib

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A framework for exploring incentive methods towards reducing phishing susceptibility in Healthcare: Based on a review and In-the-wild-field study approach 探索减少医疗保健领域网络钓鱼易感性的激励方法的框架:基于回顾和野外研究方法

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/IMSA58542.2023.10217499

P. Yeng, Bian Yang, M. Fauzi, P. Nimbe

{"title":"A framework for exploring incentive methods towards reducing phishing susceptibility in Healthcare: Based on a review and In-the-wild-field study approach","authors":"P. Yeng, Bian Yang, M. Fauzi, P. Nimbe","doi":"10.1109/IMSA58542.2023.10217499","DOIUrl":"https://doi.org/10.1109/IMSA58542.2023.10217499","url":null,"abstract":"Phishing remains a significant and ever-growing threat in our digitalized society. Its impact on industries crucial to human welfare, such as healthcare, can be devastating and even life-threatening. This paper presents a comprehensive exploration of various types of simulated phishing exercises in the healthcare sector, encompassing incentive methods, tools, risks, and ethical considerations through a scoping review.In this study, a total of six phishing simulation studies and sixteen simulated phishing tools were identified. Among the three types of simulated phishing studies (survey, lab-based experiment, in-the-wild study), a combination of survey and in-the-wild-field study, or a hybrid approach, has been commonly employed for conducting phishing simulations in healthcare settings. While the protection motivation theory has been examined to enhance phishing practices, no measures of incentives have been evaluated to improve resistance against phishing attacks.Regarding risk and ethics, the contentious issue of deception in research has sparked considerable debate across various communities. Nevertheless, employing the \"to deceive\" approach in in-the-wild-field studies has proven to be the most effective and efficient. However, it is imperative to adopt appropriate ethical measures to mitigate the risks associated with deceitfulness in such studies.Based on the findings of this review, a framework has been developed to guide future studies focusing on effective incentive-related approaches to reduce susceptibility among healthcare workers. This framework serves as a valuable resource for researchers and practitioners aiming to address the ongoing threat of phishing in the healthcare industry.","PeriodicalId":110239,"journal":{"name":"2023 Intelligent Methods, Systems, and Applications (IMSA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128501554","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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Session (5) 会话(5)

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/imsa58542.2023.10217731

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OilSpillNet: Deep Learning Model for Synthetic Aperture Radar Imagery Oil Spill Detection OilSpillNet:合成孔径雷达图像溢油检测的深度学习模型

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/IMSA58542.2023.10217532

Touka Wael Ghonaime, Ahmed Farouk Al-Sadek

{"title":"OilSpillNet: Deep Learning Model for Synthetic Aperture Radar Imagery Oil Spill Detection","authors":"Touka Wael Ghonaime, Ahmed Farouk Al-Sadek","doi":"10.1109/IMSA58542.2023.10217532","DOIUrl":"https://doi.org/10.1109/IMSA58542.2023.10217532","url":null,"abstract":"The objective of this study is to enhance the precision of oil spill identification and division utilizing the benefits of Synthetic Aperture Radar (SAR) imagery. The capacity of SAR imagery to function around the clock makes it an ideal tool for constant oil spill surveillance. Unaffected by factors such as weather conditions, cloud obstruction, or lack of light, SAR can penetrate oil layers to detect spills beneath the surface that might be undetectable with conventional optical images or hyper-spectral imaging. This study presents a method that serves as a significant resource for identifying and tracking oil spills, and evaluating their effect on marine habitats and coastal ecosystems. It can greatly contribute to the field of oil spill detection and surveillance research. Furthermore, this research tackles the challenge of imbalanced datasets through the use of a UNet model with a densenet encoder, enhancing the classification of oil spills and the surrounding environment. The method suggested was successful, achieving an f1-score of 80.31 % and an 76.84 % mean IoU on testing set of 110 images. Additionally, the model received high scores for categories like sea surface, ship, and land, proving its proficiency in identifying and classifying oil spills and their environmental context.","PeriodicalId":110239,"journal":{"name":"2023 Intelligent Methods, Systems, and Applications (IMSA)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132226876","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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A Secured Technique for Executing Queries over Multidimensional Encrypted Data 对多维加密数据执行查询的安全技术

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/IMSA58542.2023.10217376

Norah Saud Al-Musibe, Hédi Hamdi, A. A. Abd El-Aziz

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Session (1) 会话(1)

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/imsa58542.2023.10217410

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Copyright Page 版权页

2023 Intelligent Methods, Systems, and Applications (IMSA) Pub Date : 2023-07-15 DOI: 10.1109/imsa58542.2023.10217771

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