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Apr 08, 2025Open    Access

Applying K-Means Clustering and Fuzzy C-Means Clustering in Vehicle Crashes

Azad Abdulhafedh
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112856


Mar 01, 2025Open    Access

Central Repository System: A Quantitative Analysis of Its Feasibility and Applicability in MMSU

Suzeth Nicole M. Ruguian, Bensen Alex U. Pola
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 ...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112673


Feb 06, 2025Open    Access

Artificial Intelligence and Big Data for Personalized Preventive Healthcare: Predicting Health Risks and Enhancing Patient Adherence

Bilkish Nurani,Foysal Kabir,Zakia Sultana Munmun,Ripa Akter
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...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1112873


Nov 27, 2024Open    Access

Advanced Face Detection with YOLOv8: Implementation and Integration into AI Modules

Handiso Misgana Yisihak,Li Li
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...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1112474


May 07, 2024Open    Access

Economic impact and ethical challenge of new information and communication technologies in the Democratic Republic of Congo

Christophe Lwanyi Ashimalu,Jean Claude Bukasa Mukengeshayi
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...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1110627


Apr 28, 2024Open    Access

Independent Study of Splunk

Xueying Pan
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...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111496


Mar 01, 2024Open    Access

Construction and Practice of Gamified Teaching Mode Integrating ARCS Motivation Strateg

Hong Yu,Wansong Liu
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 ...
Open Access Library J.   Vol.11, 2024
Doi:10.4236/oalib.1111180


Aug 16, 2023Open    Access

Interactive Technologies of Wearable Devices for Elderly: A Literature Review

Jing Hou
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...
Open Access Library J.   Vol.10, 2023
Doi:10.4236/oalib.1110537


Jun 16, 2023Open    Access

Drivers of Mobile Payment Acceptance: The Impact of Network Externalities in Nigeria

Qasim M. Ajao, Olukotun Oludamilare, Lanre Sadeeq
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...
Open Access Library J.   Vol.10, 2023
Doi:10.4236/oalib.1110240


Aug 31, 2022Open    Access

Simulation of Factors Affecting the Detection Efficiency of the Full Energy Peak of Lanthanum Bromide Detector

Guangming Dai, Zhiquan Zhou, Quan Yuan, Guanghui Liao, Dashun Yan
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 ...
Open Access Library J.   Vol.9, 2022
Doi:10.4236/oalib.1109208


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