Numerous non-profit driven establishments depend on volunteers to help achieve their administrative targets. Despite the fact that volunteers work side-by-side or now and again substitute representatives in delivering services, inputting volunteer work into non-profit ventures of delivering services presents remarkable difficulties. Understanding these difficulties provides a significant fundamental building step in comprehending the influence these challenges have on service developmental plans and operations when utilizing volunteers. In this study, the paper brings forward a Charity Fundraising Information System (CFIS) framework and presents the modelling and evaluation of a plan and operational variables applicable to volunteer fulfilment in non-profit driven organizations. Discoveries indicate that fulfilled volunteers are bound to stay longer with the same establishment, give monetarily to the non-profit driven organization, and prescribe the volunteer involvement to other people. Every one of these results guarantees the continuous sustenance of the non-profit driven establishment.
The spam is one of the illegal and negative practices that involves the use of email services to send unsolicited emails such as phishing for the purpose of scamming which influences the reliability of email. Investigations have been conducted from various perspectives in order to examine this spam problem and how it affects society. In this regard, many studies have been carried out with the aim of studying the effect of spam activity on finance, economy, marketing, business and management, while other studies have focused on studying the influence of spam on security and privacy. Consequently, the literature affords various anti-spam methods that blocks or filters spam emails. This paper investigates the existing anti-spam methods, highlights some current problems and carries out an improved anti-spam model. In this regard, a new agent-based of Multi-Natural Language Anti-Spam (MNLAS) model is proposed. The MNLAS model process in the spam filtering process of an email both visual information such as images and texts in English and Arabic languages. The Jade agent platform and Java environments are employed in the implementation of MNLAS model. The MNLAS model is tested on a 200 emails' dataset and the results show that it is able to detect and filter various kinds of spam emails with high accuracy.
In this study, we attempt to provide healthcare service to the pilgrims. This study describes how a multimedia courseware can be used in making the pilgrims aware of the common diseases that are present in Saudi Arabia during the pilgrimage. The multimedia courseware will also be used in providing some information about the symptoms of these diseases, and how each of them can be treated. The multimedia courseware contains a virtual representation of a hospital, some videos of actual cases of patients, and authentic learning activities intended to enhance health competencies during the pilgrimage. An examination of the courseware was conducted so as to study the manner in which the elements of the courseware are applied in real-time learning. More so, in this research, a discussion on the most dangerous diseases which may occur during the season of pilgrimage is provided. The use of the multimedia course is able to effectively and efficiently provide information to the pilgrims about these diseases. This technology performs this task by using the knowledge that has been accumulated from past experience, particularly in the field of disease diagnosis, medicine and treatment. The courseware has been created using an authoring tool known as ToolBook instructor to provide pilgrims with quality service.
IoT-based healthcare solutions have transformed patient care and improved results. These technologies
capture and store sensitive patient data, raising security and privacy concerns. The paper first discusses
IoT-based healthcare system security issues. It evaluates cyber threats, system unavailability, and
vulnerabilities attackers can use to get patient data. The report also tackles IoT-based healthcare system
privacy issues such illegal data access and sharing and patient data breach concerns. The study proposes
numerous frameworks and solutions to protect patient data in IoT-based healthcare systems. Blockchain
technology can increase data security and privacy by offering a transparent, decentralized, tamperresistant
database. The report also discusses differential privacy, a statistical method that adds noise to
sensitive patient data to protect privacy. The study also examines how AI and ML can detect and mitigate
security vulnerabilities in IoT-based healthcare systems. The study also emphasizes the need for uniform
security and privacy standards to protect patient data across healthcare companies. The report stresses
the importance of integrating security and privacy into IoT-based healthcare systems from the start. In
conclusion, the study emphasizes security and privacy in IoT-based healthcare systems and the problems
of protecting patient data. It explores standardized security and privacy protocols and many frameworks
and solutions to address these issues.
This paper provides an analysis of H-index and paper citations in the computer science field using K-Means Clustering Algorithm. By leveraging cutting edge visual analytics through the use of Power BI and Orange Data Mining tool with K-Means clustering algorithm, we are able to present a comprehensive review of how H-index and citations impact the scholarly evaluation of authors in computer science field. The analysis obtained will assist academics seeking to expand their research influence while providing additional context to the general audience seeking to understand how machine learning algorithms can contribute to data exploration. The analysis conducted has revealed that area of research which has the highest value of citation and H-index include the following topics: Artificial-Intelligence, Computational-Intelligence, Data-mining, Evolutionary-Algorithms, and Big Data Analytics. Finally, the analysis of this research clearly demonstrated that paper citations remain an important factor for determining scientific impact in disciplines such as computer science given its close relationship with established metrics such as h-index scores.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.