Data Science and Management最新文献_第2页

A model for predicting dropout of higher education students 预测高校学生辍学的模型

Data Science and Management Pub Date : 2024-07-23 DOI: 10.1016/j.dsm.2024.07.001

Anaíle Mendes Rabelo, Luis Enrique Zárate

引用次数: 0

Comparative study of IoT- and AI-based computing disease detection approaches 基于物联网和人工智能的计算疾病检测方法比较研究

Data Science and Management Pub Date : 2024-07-18 DOI: 10.1016/j.dsm.2024.07.004

Wasiur Rhmann , Jalaluddin Khan , Ghufran Ahmad Khan , Zubair Ashraf , Babita Pandey , Mohammad Ahmar Khan , Ashraf Ali , Amaan Ishrat , Abdulrahman Abdullah Alghamdi , Bilal Ahamad , Mohammad Khaja Shaik

{"title":"Comparative study of IoT- and AI-based computing disease detection approaches","authors":"Wasiur Rhmann , Jalaluddin Khan , Ghufran Ahmad Khan , Zubair Ashraf , Babita Pandey , Mohammad Ahmar Khan , Ashraf Ali , Amaan Ishrat , Abdulrahman Abdullah Alghamdi , Bilal Ahamad , Mohammad Khaja Shaik","doi":"10.1016/j.dsm.2024.07.004","DOIUrl":"10.1016/j.dsm.2024.07.004","url":null,"abstract":"<div><div>The emergence of different computing methods such as cloud-, fog-, and edge-based Internet of Things (IoT) systems has provided the opportunity to develop intelligent systems for disease detection. Compared to other machine learning models, deep learning models have gained more attention from the research community, as they have shown better results with a large volume of data compared to shallow learning. However, no comprehensive survey has been conducted on integrated IoT- and computing-based systems that deploy deep learning for disease detection. This study evaluated different machine learning and deep learning algorithms and their hybrid and optimized algorithms for IoT-based disease detection, using the most recent papers on IoT-based disease detection systems that include computing approaches, such as cloud, edge, and fog. Their analysis focused on an IoT deep learning architecture suitable for disease detection. It also recognizes the different factors that require the attention of researchers to develop better IoT disease detection systems. This study can be helpful to researchers interested in developing better IoT-based disease detection and prediction systems based on deep learning using hybrid algorithms.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"8 1","pages":"Pages 94-106"},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141841404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Creating non-fungible token (NFT)-backed emoji art from user conversations on blockchain 从区块链上的用户对话中创建非可替换令牌（NFT）支持的表情符号艺术

Data Science and Management Pub Date : 2024-06-28 DOI: 10.1016/j.dsm.2024.06.002

Maedeh Mosharraf, Mohammad Hossein Khorrami

引用次数: 0

Value realization of intelligent emergency management: research framework from technology enabling to value creation 智能应急管理的价值实现：从技术赋能到价值创造的研究框架

Data Science and Management Pub Date : 2024-06-12 DOI: 10.1016/j.dsm.2024.06.001

Yan Guo , Yan Song , Mingyue Zhang

{"title":"Value realization of intelligent emergency management: research framework from technology enabling to value creation","authors":"Yan Guo , Yan Song , Mingyue Zhang","doi":"10.1016/j.dsm.2024.06.001","DOIUrl":"10.1016/j.dsm.2024.06.001","url":null,"abstract":"<div><div>This study investigated the application and the application value of intelligent emergency in emergency management in the big data environment. It addresses the neglect of the application value (performance) measurement of intelligent emergency, further improving the effectiveness of intelligent emergency management. First, approximately 3900 documents from the intelligent emergency field are analyzed to determine the future research trend in intelligent emergency management. The socio-technical theory concerning technical and social systems is introduced. The emergency management system concepts of “technology enabling” and “enabling value creation” are defined according to bibliometric analysis and socio-technical theory. Second, a research framework that includes technology enabling and enabling value creation for the decision-making paradigm in emergency management according to the big data environment is constructed. A detailed analysis approach from intelligent emergency technology enabling to enabling value creation in emergency management is proposed. Finally, earthquake disasters are taken as examples, and specific analyses of the intelligent emergency enabling and enabling value creation are explored; enabling value creation is discussed based on measurable indicators. The clear concept of emergency management system technology enabling and enabling value creation, as well as the detailed analysis approach from intelligent emergency technology enabling to enabling value creation, provide a theoretical bases for scholars and practitioners to evaluate the value (performance) of intelligent emergency for the first time.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"8 1","pages":"Pages 11-22"},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141409093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing cyber threat detection with an improved artificial neural network model 利用改进的人工神经网络模型加强网络威胁检测

Data Science and Management Pub Date : 2024-06-01 DOI: 10.1016/j.dsm.2024.05.002

Toluwase Sunday Oyinloye , Micheal Olaolu Arowolo , Rajesh Prasad

引用次数: 0

User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education 以用户为中心的头像设计：虚拟教育中的元宇宙认知演练方法

Data Science and Management Pub Date : 2024-05-19 DOI: 10.1016/j.dsm.2024.05.001

{"title":"User-centric avatar design: A cognitive walkthrough approach for metaverse in virtual education","authors":"","doi":"10.1016/j.dsm.2024.05.001","DOIUrl":"10.1016/j.dsm.2024.05.001","url":null,"abstract":"<div><div>Metaverse, once a concept confined to science fiction, has emerged as a transformative reality during the digital era. As this immersive virtual world gains prominence, the role of avatars and the digital representations of users in shaping educational experiences within a metaverse becomes increasingly crucial. This study examined the design of avatars and their effectiveness in virtual education. Using the cognitive walkthrough (CW) method, a well-established user-centric assessment approach, this study examined how users engage in avatar design in virtual educational settings, highlighting their cognitive processes. Through the CW approach, this study identified usability issues and learning challenges, providing valuable insights into the user experience. The investigation focuses on the VRoid platform for avatar design, selected for its user-friendly interface and robust customization features. Participants (n = 12; six men and six women) from diverse educational backgrounds were carefully selected to offer a comprehensive range of perspectives. They performed avatar design tasks that closely mirrored the learning environment of the metaverse, followed by in-depth post-exercise interviews. The findings of this study highlight the essential role of avatar design in enhancing user engagement and improving the learning outcomes of virtual education. Furthermore, we provide practical recommendations for educators and designers to effectively leverage avatar innovation. In a continuously evolving era of metaverse, this research contributes significantly to the ongoing discourse on user-centered design in educational settings, thereby influencing the future trajectory of virtual education.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 267-282"},"PeriodicalIF":0.0,"publicationDate":"2024-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141140192","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Trust and involvement of Cameroonian software developers in open-source projects 喀麦隆软件开发人员对开源项目的信任和参与情况

Data Science and Management Pub Date : 2024-05-06 DOI: 10.1016/j.dsm.2024.04.005

引用次数: 0

Will China’s carbon-trading policy foster coordinated innovation in green technologies? 中国的碳交易政策能否促进绿色技术的协调创新？

Data Science and Management Pub Date : 2024-05-04 DOI: 10.1016/j.dsm.2024.04.004

引用次数: 0

Trust framework for self-sovereign identity in metaverse healthcare applications 元数据医疗应用中自我主权身份的信任框架

Data Science and Management Pub Date : 2024-04-29 DOI: 10.1016/j.dsm.2024.04.003

Alan Ling , Sergey Butakov

引用次数: 0

Bibliometric analysis of the art market: From art price to market efficiency 艺术市场的文献计量分析：从艺术价格到市场效率

Data Science and Management Pub Date : 2024-04-13 DOI: 10.1016/j.dsm.2024.03.006

Mingjun Guo , Xuerong Li , Yunjie Wei

{"title":"Bibliometric analysis of the art market: From art price to market efficiency","authors":"Mingjun Guo , Xuerong Li , Yunjie Wei","doi":"10.1016/j.dsm.2024.03.006","DOIUrl":"10.1016/j.dsm.2024.03.006","url":null,"abstract":"<div><div>This study addresses a significant gap in the existing literature by conducting a comprehensive systematic review of the art market over the past 50 years, utilizing big data analysis and bibliometric methods. Through descriptive statistical analysis, we gained insights into research trends, influential literature, authors, academic disciplines, journals, institutions, and countries. By utilizing various bibliometric analyses, including co-citation, co-word, burstiness, time-zone, and co-cited author analyses, we unraveled the inherent logic within the literature. One significant discovery was the consistent annual increase in research interest in the art market. Notably, the focus of art market research has shifted from hedonic art prices to areas such as artist brand management, electronic art platforms, anti-money-laundering supervision, and art market efficiency. Moreover, this study highlights the impact of the COVID-19 pandemic, expediting an electronic revolution in the art market in recent years. Notably, our study is the first to comprehensively employ bibliometric methods to analyze the art market, thereby laying the groundwork for researchers interested in this field.</div></div>","PeriodicalId":100353,"journal":{"name":"Data Science and Management","volume":"7 4","pages":"Pages 349-360"},"PeriodicalIF":0.0,"publicationDate":"2024-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140780736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0