OALib Journal
  OALib Journal is an all-in-one open access journal (ISSN Print: 2333-9705, ISSN Online: 2333-9721). It accepts a manuscript for the peer-review processing, typesetting, publication and then allocated to one of the 322 subject areas. The article processing charge for publishing in OALib journal is Only $99. For more details, please contact service@oalib.com. Submit now
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Jul 31, 2026Open    Access

Study of the Technological Effects on the Implementation of the Railway Project in Burundi

Fiston Niyonkuru, Ilundu Wail Walumbuka, Jérémie Ndikumagenge
Transport is a key driver of socio-economic development and a fundamental factor in improving living standards, particularly in African countries where mobility underpins access to markets, services, and opportunities. In Central Africa, road transport currently dominates both passenger and freight movements due to the limited performance of railway systems. However, the heavy reliance on road infrastructure, combined with its vulnerability to degradation and insufficient maintenance, constrains...
Open Access Library J.   Vol.13, 2026
Doi:10.4236/oalib.1115371


Dec 25, 2025Open    Access

Research on Autonomous Localization and Navigation Simulation of Hospital Drug Delivery Robots Based on ROS System

Bin Cheng,Baiyun Zhang
With the continuous advancement of medical technology and the enhancement of hospital service quality, hospital drug delivery robots have gradually become an important component of medical system automation. This paper conducts an in-depth study on the autonomous localization and navigation technology of hospital drug delivery robots based on the Robot Operating System (ROS). By establishing a simulation experiment platform, a comprehensive evaluation of the robot’s localization accuracy, path p...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1114601


Sep 24, 2025Open    Access

Re-Constructing the Campus Cyberinfrastructure of a Small, Liberal Arts HBCU to Maximize Stem Innovation and Integration 

Sohel H. Quazi
Texas College is dedicated to enhancing connectivity and internet bandwidth to support advanced research and collaboration among students and faculty. The Network Management Plan ensures reliable connectivity and security for immersive learning experiences. This paper explores the transformative potential of Cyberinfrastructure at Texas College to reconstruct campus cyberinfrastructure (CC*) through a planning project. This strategy is based on three different layers. The first layer becomes tha...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1114107


Aug 27, 2025Open    Access

Reinforcement Learning-Based Personalized Depression Treatment Using Synthetic Data and Real-Time Decision Support

Rocco de Filippis,Abdullah Al Foysal
Depression treatment often involves a complex and lengthy trial-and-error process, where clinicians sequentially prescribe medications to identify the most effective treatment for each patient. This approach can lead to delayed recovery, unnecessary side effects, and increased healthcare costs. To address this challenge, we present a Reinforcement Learning (RL)-based framework designed to optimize antidepressant treatment strategies through dynamic, patient-specific decision-making. The proposed...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113959


Aug 22, 2025Open    Access

Development of Electromechanical System for Antenna Positioning

Asif A. Mulla,Pramod N. Vasambekar
A complete open-loop, dual-axes Ku-band electromechanical system has been developed, implemented, and tested for the antenna positioning. The system is developed by using a magnetic positioning sensor AS5600, a PIC18F4553 controller, a microstepping driver STK672-080, and a hybrid stepper motor. A microstepping driver and magnetic positioning sensors are used to improve the system’s performance. The system software is developed using MPLAB X v3.2 IDE. In the antenna mechanical assembly, the elev...
Open Access Library J.   Vol.12, 2025
Doi:10.4236/oalib.1113916


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


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