Detecting malicious software applications is crucial in protecting user data and privacy. The increasing popularity of operating systems (OS) such as Android, iOS, and Windows has led to an expansion in the number of ...
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ISBN:
(纸本)9798350348439;9798350384611
Detecting malicious software applications is crucial in protecting user data and privacy. The increasing popularity of operating systems (OS) such as Android, iOS, and Windows has led to an expansion in the number of malicious software applications targeting these platforms. Several studies have explored various techniques to detect malware threats, including signature-based detection, behavioral analysis, dynamic analysis, and static analysis. However, these conventional methods may fail to detect new variants of malware with unique characteristics. This research paper introduces a unified approach that combines entropy bytecode-to-image visualization with ensemble learning to enhance the identification of malicious patterns. To validate the efficacy of the entropy encoder, the AndroZoo-2011 application data set was used as a training set, comprising 184,474 samples, including 49,150 and 13,324 malicious and benign applications, respectively. The applied method demonstrates improved performance with an accuracy of 95.77%, a precision of 90.60%, and an F1 score of 92.21% compared to other existing encoders, making our approach more applicable to real-world scenarios.
visualization is a key technology for analyzing and presenting vegetation cover and climatic changes. Interactive visualization has emerged as a popular and effective approach for communicating complex data and insigh...
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Healthcare services are one of the major public issues facing the world and have become a research hotspot in recent years. This paper provides a review and quantitative analysis of the literature related to healthcar...
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ISBN:
(纸本)9798350323238
Healthcare services are one of the major public issues facing the world and have become a research hotspot in recent years. This paper provides a review and quantitative analysis of the literature related to healthcare services to sort out the research trends and hotspots in this field. This paper used bibliometric analysis to search keywords in the Web of Science database in TITLE-ABS-KEY format. After screening, the final 4188 articles from 2011 to 2022 were collated, and co-citation analysis was performed using VOSviewer literature visualizationanalysis software. The global healthcare services literature has grown steadily year after year. Health Care Sciences & Services (9.5%) and General & Internal Medicine (8.7%) were the most common areas of research, with the United States (N=1016) accounting for the largest share of research. "BMC Health Services Research" is the most active journal (N=149). Healthcare services are one of the current research focuses in the field of healthcare institutions. In the future, further research into assistive technologies and tools for healthcare services, such as the Internet of Things, cloud services, and big data analytics will be investigated. In addition, research on healthcare services focusing on special needs populations, especially the elderly, is a hotspot for future research, broadening the boundaries of research and having practical value.
Organizational structure of corporations has the potential to provide implications for dynamics and performance of corporate operations. However, this subject has remained unexplored because of the lack of readily ava...
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Efficient road recovery is essential for people's wellbeing and economic recovery. The three prefectures on the Pacific side of the Tohoku region (Fukushima, Miyagi, and Iwate), are relatively similar to the three...
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The study aims to highlight the bibliometric analysis of published literature on mobile healthcare in the past one decade. The data consist of literature indexed in Scopus database from 2011 to 2020. The keywords used...
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Learning analytics (LA) is a growing research trend and has recently been used in research and practices in massive open online courses (MOOCs). This systematic review of 166 articles from 2011-2021 synthesizes the tr...
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Learning analytics (LA) is a growing research trend and has recently been used in research and practices in massive open online courses (MOOCs). This systematic review of 166 articles from 2011-2021 synthesizes the trends and critical issues of LA in MOOCs. The eight-step process proposed by Okoli and Schabram was used to guide this systematic review in analyzing publication outlets, research purposes and methods, stakeholders, and researchers' geographic locations and subjects. The review showed that MOOC LA research is primarily published in top-tier journals, such as the Journal of Learning Analytics, Journal of Computer Assisted Learning, and Computers & Education, as well as conference proceedings. The review also revealed that LA in MOOCs was used more frequently for the purpose of research than for practice (i.e., learning and teaching). Approximately 60% of the reviewed studies adopted learners' log data and achievement data as the primary data sources. Statistics, machine learning, content analysis, social network analysis, text analysis, and datavisualization were the top six specific dataanalysis techniques used in the MOOC LA studies. Regarding collaboration, more than half of the reviewed studies involved interdisciplinary collaborations, and approximately one-third involved international collaborations. We suggested future studies on MOOC LA interventions to improve learning and teaching practices, and the active interdisciplinary collaboration to increase the rigor of the studies and the dissemination of the knowledge. More detailed discussion and implications for research and practice are presented. This research provides insights on future research and practices regarding LA use in MOOCs.
Chronic diseases are some of the most widespread and expensive health conditions in the United States. This study evaluates the prevalence of chronic diseases in the U.S. from 2011 to 2021, using data from the U.S. CD...
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visualization is a key technology for analyzing and presenting vegetation cover and climatic changes. Interactive visualization has emerged as a popular and effective approach for communicating complex data and insigh...
visualization is a key technology for analyzing and presenting vegetation cover and climatic changes. Interactive visualization has emerged as a popular and effective approach for communicating complex data and insights related to climate change. This project focuses on the interactive visualization of land cover and climate changes using conventional maps and graphs, with a particular focus on the districts of Rajasthan. By utilizing the data provided by the Bhuvan geǒ platform, this study aims to identify trends in climate and land cover over the past 30 years. The datasets collected for this study include information on climatic aspects such as temperature, Earth surface temperature, humidity, and precipitation for the cities of Jodhpur, Bikaner, and Jaisalmer, as well as land cover data for the major districts in Rajasthan. The land cover includes data on croplands, forests, builtup lands, and water bodies which were collected for the years 2011-12 and 2015-16. The use of Tableau software provides an interactive platform for analyzing and presenting data, making it easier for stakeholders and policymakers to understand the data and make informed decisions. Linear regression is used to establish relationship and predict the climatic changes corresponding to change in years. This study aims to provide an accurate representation of the data, including detailed information about the source, in a way that makes it easy to understand complicated data relationships and datǎ driven insights. Through interactive datavisualization, this study aims to identify how land cover and climate trends are changing over time and to identify potential causes for these changes. The final result is the visualized data report which helps to identify the trends in climate and land cover.
More and more attentions have been paid to the value of big data, and the amount of research literature on big data is also increasing exponentially. In this paper, CiteSpace citation analysis software is used as an a...
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