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Apr 08, 2025Open Access
Clustering is an unsupervised machine learning technique used to organize unlabeled data into groups based on similarity. This paper applies the K-means and Fuzzy C-means clustering algorithms to a vehicle crash dataset in order to explore various patterns in the data. K-means assigns data points to clusters based on the similarity between the data point and the cluster centroids, which results in partitioning the data into distinct clusters. On the other hand, fuzzy C-means clustering allows da...
Mar 01, 2025Open Access
Philippine government entities are struggling to improve services to catch up with the demands of the contemporary times which is to embed technology. One case is the potential work output of a cloud-powered productivity platform that is beneficial for State Universities and Colleges (SUCs) to advance the process of their government services. This study analyzed the feasibility and applicability of a central repository system (CRS) using a platform, Microsoft 365, of the Mariano Marcos ...
Feb 06, 2025Open Access
Personalized preventive healthcare, powered by Artificial Intelligence (AI) and Big Data analytics, offers a transformative approach to healthcare by tailoring interventions based on an individual’s health risks and lifestyle factors. This study investigates the application of AI models, utilizing Big Data, to design and implement personalized preventive healthcare programs aimed at improving patient outcomes and adherence to health recommendations. The primary objective is to leverage machine l...
Nov 27, 2024Open Access
This paper presents a comprehensive approach to face detection utilizing the YOLOv8 model, specifically trained on a diverse dataset consisting of images from four individuals. The trained model is seamlessly integrated into an AI module from Huada, a leading AI company, equipped with a camera and LED indicators, enabling real-time face recognition and classification of known and unknown individuals. The model’s performance is evaluated across various metrics, demonstrating its high accuracy, ro...
May 07, 2024Open Access
In the Democratic Republic of Congo (DRC) over the last few decades, digital work environments have gradually been set up to enable the various players in social life to work together, access resources, engage in distance learning, archive and trace data, and so on. These environments are set to become increasingly important in the daily lives of citizens, in order to maximize revenue while minimizing expenditure.
To boost the DRC's development, the management of the Res Publica must meet the cr...
Apr 28, 2024Open Access
The paper’s objective is to easily search data and integrate all data sources or tools into one place for people to identify issues in visualizable ways based on correlating multiple data sources. On the other hand, we would use Splunk to build customized dashboards depending on critical success factors (CSF) and critical-to-quality (CTQ) from a single “pane of glass” that gives us a powerful search engine in root cause analysis, data analytics, and integration of multiple logs. In the paper, we...
Mar 01, 2024Open Access
In order to thoroughly implement the Opinions on Promoting the High Quality Development of Modern Vocational Education issued by the General Office of the State Council, optimize teaching modes and improve teaching methods. The paper integrates Professor Keller’s ARCS motivation model and constructs a gamified teaching model that incorporates ARCS motivation strategies based on gamified teaching. The paper mainly introduces the selection characteristics of gamified platforms, the correct use of ...
Aug 16, 2023Open Access
Older people interacting with wearable devices have inspired many researchers to explore and contribute to a wide range of research threads. However, much of the research has focused on the technical aspects of wearable devices and there is a lack of user-centered research, and there are still many gaps in the literature on wearable device interaction for older people. In this literature review, interaction techniques for older people using wearable devices are summarized. The analysis of 115 re...
Jun 16, 2023Open Access
The rising popularity of mobile payments can be attributed to the widespread use of smartphones and their applications. Despite its potential to simplify our lives, its adoption in African countries has been limited. This paper aims to enhance our understanding of the critical factors that influence the acceptance of mobile payments in Nigeria by exploring the impact of “network externalities” in addition to conventional technology acceptance factors. It posits that performance expectancy, effor...
Aug 31, 2022Open Access
Monte Carlo software MCNP and Geant4 were used to study the factors affecting the detection efficiency of the lanthanum bromide detector, mainly including the thickness of the detector al shell and the size of the crystal. The results of the two softwares were compared. The results show that only the thickness of the front Al shell increases the detection efficiency of the full energy peak, and the side al shell has little effect on the detection efficiency of the full energy peak; The increase ...
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