2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)最新文献

Multi-Context-aware Trust Management framework in Social Internet of Things (MCTM-SIoT) 社交物联网多上下文感知信任管理框架(MCTM-SIoT)

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193510

Meriem Chiraz Zouzou, E. Benkhelifa, H. Kholidy, David W Dyke

{"title":"Multi-Context-aware Trust Management framework in Social Internet of Things (MCTM-SIoT)","authors":"Meriem Chiraz Zouzou, E. Benkhelifa, H. Kholidy, David W Dyke","doi":"10.1109/ICCNS58795.2023.10193510","DOIUrl":"https://doi.org/10.1109/ICCNS58795.2023.10193510","url":null,"abstract":"In recent years, the integration of the Social Internet of Things (SIoT) into the Internet of Things (IoT) has gained considerable attention, leading to a vast network of interconnected everyday objects. These objects generate a wealth of data that can provide valuable insights into our daily needs. Context-aware systems have emerged as intelligent systems that assist users in making service consumption choices based on their contextual information and preferences. However, the development of a context-aware trust management framework in SIoT faces a significant challenge due to the limited availability of dynamic and reliable context information from the objects users interact within their environments. To overcome this challenge, it is proposed to use contextual information obtained from IoT objects and other sources to construct a framework that establishes connections between the core modules of a SIoT environment and facilitates trustworthy inferences. This framework incorporates trust management and context information to evaluate the trustworthiness of devices, aiming to build trust among users and enhance the trustworthiness of devices.","PeriodicalId":158016,"journal":{"name":"2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122988533","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

Consolidating user data from social networks using Machine Learning and Serverless Cloud 使用机器学习和无服务器云整合来自社交网络的用户数据

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193182

Alex Kaplunovich, Sophia Kaplunovich

引用次数: 0

A Robust Diabetes Mellitus Prediction System Based on Federated Learning Strategies 基于联邦学习策略的稳健性糖尿病预测系统

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10192981

M. Kuzlu, Zhenxin Xiao, Maliha Tabassum, Ferhat Ozgur Catak

{"title":"A Robust Diabetes Mellitus Prediction System Based on Federated Learning Strategies","authors":"M. Kuzlu, Zhenxin Xiao, Maliha Tabassum, Ferhat Ozgur Catak","doi":"10.1109/ICCNS58795.2023.10192981","DOIUrl":"https://doi.org/10.1109/ICCNS58795.2023.10192981","url":null,"abstract":"In recent years, diabetes mellitus has emerged as one of the most prevalent diseases worldwide. This disease can be caused by various factors, and individuals often visit diagnostic centers and consult with doctors to identify the root cause. Fortunately, Machine Learning (ML) techniques have proven effective in predicting and detecting diabetes. However, developing robust ML models requires access to large datasets obtained from various healthcare systems. This poses significant privacy and confidentiality concerns, as sharing personal health data can be risky. The primary objective of this study is to design a robust diabetes mellitus prediction system using an ML-based binary classification approach along with federated learning strategies. The aim is to develop a system that can deliver performance comparable to centralized learning while ensuring data privacy and confidentiality. The results demonstrate that federated learning can provide comparable performance to centralized learning, thus making it a promising candidate for developing robust diabetes prediction models. Additionally, the use of federated learning strategies can help overcome the privacy and confidentiality concerns associated with large healthcare datasets from various healthcare systems. The findings of this study suggest that machine learning, particularly federated learning, can significantly contribute to the development of effective diabetes prediction models while addressing privacy and confidentiality concerns.","PeriodicalId":158016,"journal":{"name":"2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125462587","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

Harnessing IoT, E-Business, and Digital Marketing for Enhancing User Satisfaction and Performance in UAE’s Hotel Industry: An Empirical Study 利用物联网、电子商务和数字营销提高阿联酋酒店业的用户满意度和绩效:一项实证研究

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193239

A. Aljumah, M. Nuseir, Ghaleb A. El Refae, A. Awawdeh, F. M. F. Saboune, Sarah Urabi

引用次数: 0

The Role of Social Media Usage, E-WOM, and Perceived Enjoyment in Shaping Customer Attitudes and Blockchain Adoption Loyalty in UAE Banking: A Quantitative Investigation 社交媒体使用、电子口碑和感知享受在塑造阿联酋银行业客户态度和区块链采用忠诚度方面的作用:一项定量调查

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193614

M. Nuseir, A. Aljumah, Ghaleb A. El Refae, A. Awawdeh, A. M. Baadhem, Sarah Urabi

{"title":"The Role of Social Media Usage, E-WOM, and Perceived Enjoyment in Shaping Customer Attitudes and Blockchain Adoption Loyalty in UAE Banking: A Quantitative Investigation","authors":"M. Nuseir, A. Aljumah, Ghaleb A. El Refae, A. Awawdeh, A. M. Baadhem, Sarah Urabi","doi":"10.1109/ICCNS58795.2023.10193614","DOIUrl":"https://doi.org/10.1109/ICCNS58795.2023.10193614","url":null,"abstract":"Technology is shaping the banking sector around the globe. Therefore, the prime objective of this research was to examine the relationship among social media use, e-WoM, perceived enjoyment and customer’s attitude towards loyalty to the use of Blockchain technology in the context of U.A.E. banks. This study used a cross-sectional research design and quantitative methods for data collection. Five-point Likert scale was used to develop the well-designed questionnaire for data collection. A simple random sampling technique was adopted to distribute the questionnaire among respondents. A sample of one hundred seventy-four observations was analyzed using Smart PLS 3.3.9. The findings confirmed the significant and direct effect of social media use, e-WoM, and perceived enjoyment on customers’ attitudes. The direct effect of customer attitude on Blockchain adoption was also supported. The findings also revealed the important mediating role of customer attitude as well. The findings are helpful for policymakers and academicians.","PeriodicalId":158016,"journal":{"name":"2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117243976","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

Adapting YOLO to recognition of real numbers in 7-segment digits 将YOLO应用于7段数字实数的识别

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193592

Francisco Bonilla-Rivas, Carlos Cárdenas-Angelat, Antonio Garrido-Díaz, M. Aguayo-Torres

引用次数: 0

Using Design Science Research to Orchestrate Developing the iCanViz Cancer Care Data Analytics Research Project 使用设计科学研究协调开发iCanViz癌症护理数据分析研究项目

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193362

Reema Abu Al Rub, Serin Atiani, Mahmoud Mohammed, Faten F. Kharbat, Mohammad Odeh

{"title":"Using Design Science Research to Orchestrate Developing the iCanViz Cancer Care Data Analytics Research Project","authors":"Reema Abu Al Rub, Serin Atiani, Mahmoud Mohammed, Faten F. Kharbat, Mohammad Odeh","doi":"10.1109/ICCNS58795.2023.10193362","DOIUrl":"https://doi.org/10.1109/ICCNS58795.2023.10193362","url":null,"abstract":"This paper aims to reflect on the extent to which the Design Science Research Method (DSRM) is aligned with orchestrating the development of cancer care data analytics research projects using a data strategy-enabled use-case-driven approach. A fit-for-purpose DSRM research framework has been designed to guide the research design and project-manage the iCanViz research project. The iCanViz project is an intelligent cancer data analytics visualizer aligned to multiple cancer sites, cancer incidences, risk correlations, survivals, and deaths in the Arab world within certain years of reported cancer incidences per cancer site. The DSRM approach has been deemed closely aligned with the iCanViz research project. This is primarily due to its ability to articulate and incorporate cancer care data strategy use-cases as agile software development increments within the iCanViz DSRM research framework. Also, the adaptation of the iCanViz DSRM research framework has contributed to enhancing the even distribution and concurrent execution of cancer care data analytics tasks across the software development and research team. Furthermore, the iCanViz DSRM research design has proven effective in designing research frameworks that bridge the gap between the world of cancer care and the creation of cancer care data analytics systems. With a small research team, the iCanViz project achieved this within a relatively short time frame of less than a year.","PeriodicalId":158016,"journal":{"name":"2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128701925","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

Examining Journalistic Practices in Online Newspapers in the Era of Artificial Intelligence 人工智能时代网络报纸新闻实践研究

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193607

Marcelle A. Al Jwaniat, D. Tahat, Razan AlMomany, K. Tahat, M. Habes, A. Mansoori, Ihsan Maysari

引用次数: 0

Keynote Speech 3: Exploring the Synergy of 3D Integration and Hardware Security 主题演讲3:探索3D集成与硬件安全的协同作用

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193178

Dofe Jaya

引用次数: 0

Importance of Optical Metrics for IGP Configuration Change Prediction 光度量对IGP配置变化预测的重要性

2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS) Pub Date : 2023-06-19 DOI: 10.1109/ICCNS58795.2023.10193494

Bruck Wubete, B. Esfandiari, T. Kunz, Thomas Triplet, D. Cote

引用次数: 1