Browse Items (9485 total)
Sort by:
A Biometric Authentication Scheme to Enhance Access Integrity of Higher Education Institutions
Access control and security within higher education institutions are of paramount importance in safeguarding sensitive information and resources. Conventional authentication methods, such as passwords and identification cards, have proven susceptible…
A Bonferroni Mean Based Fuzzy K-Nearest Centroid Neighbor Classifier
K-nearest neighbor (KNN) is an effective nonparametric classifier that determines the neighbors of a point based only on distance proximity. The classification performance of KNN is disadvantaged by the presence of outliers in small sample size…
A business model adoption based on tourism innovation: Applying a gratification theory to mobile applications
The purpose of this paper is to improve understanding of Tourism Innovation by using a Uses and Gratification Theory model to investigate tourist intention to visit a city after reading other users' valuations of the destination on Mobile…
A Centrality Maximization Approach for Link Recommendation
In social networks, the goal of link recommendation is to recommend links for nodes and add them to the network, thereby satisfying the potential link interests of the nodes. The centrality of nodes in social networks typically quantifies the…
A Cloud-based Framework for Quality Assurance and Enhancement as a Service (QAEaaS) for Universities with Blended Learning Approach
The dynamic and multi-dimensional quality assurance process for Saudi higher education institutes under the National Commission for Academic Accreditation and Assessment (NCAAA) demands an integrated framework for management and support of internal…
A Comparative Study of CatBoost and Double Random Forest
for Multi-class Classification
Multi-class classification has its challenge compared to binary classification. The challenges mainly caused by the interactions
between explanatory and responses variable are increasingly complex. Ensemble-based methods such as boosting and random…
between explanatory and responses variable are increasingly complex. Ensemble-based methods such as boosting and random…
A Comparative Study of Detecting Twitter Spam using Deep Learning
AbstractThis study addresses the escalating challenge of Twitter spam detection by leveraging the power of Convolutional Neural Networks (CNNs). With the proliferation of spam content on social media platforms, traditional machine…
A Comparative Study of Gameplay of Different Sets of Players in an Engineering Mapping Game
Educators in the STEM (science, technology, engineering, and mathematics) field are constantly employing different tools to make the process of education streamlined and fun. The digital gaming platform also called e-gaming platform has evolved as…
A Comparative Study on South African Users’ Perception to Use, Choose, and Purchase a Smartphone Device through the Lens of the Social Shaping of Technology (SST) Theory
Mobile technologies are increasingly making important contributions to the lives of many users. Various factors are said to influence the decision of users to remain connected and be in constant interaction with other users from the same or different…
A COMPARISON OF CLUSTERING BY IMPUTATION AND SPECIAL CLUSTERING ALGORITHMS ON THE REAL INCOMPLETE DATA
The existence of missing values will really inhibit process of clustering. To overcome it, some of scientists have found several solutions. Both of them are imputation and special clustering algorithms. This paper compared the results of clustering…