How bibliometric analysis using VOSviewer based on artificial intelligence data (using ResearchRabbit Data): Explore research trends in hydrology content

S Rochman, N Rustaman, TR Ramalis… - ASEAN Journal of …, 2024 - ejournal.kjpupi.id
The purpose of this study was to analyze and map research in hydrology content. We
reviewed 45 articles related to hydrology content published from 2014 to 2024. There are …

[HTML][HTML] Artificial Intelligence for Remote Patient Monitoring: Advancements, Applications, and Challenges

M Farrokhi, F Taheri, A Moeini, M Farrokhi, MZS Alireza… - Kindle, 2024 - preferpub.org
Artificial Intelligence (AI) has emerged as a transformative force in the healthcare sector,
particularly in the realm of remote patient monitoring (RPM). RPM involves the collection …

[HTML][HTML] An ensemble learning framework for snail trail fault detection and diagnosis in photovoltaic modules

EH Sepúlveda-Oviedo, L Travé-Massuyès… - … Applications of Artificial …, 2024 - Elsevier
This research proposes a method for detecting subtle faults named snail trails for their visual
similarity with the trail of a snail in photovoltaic modules. Snail trails do not significantly …

[HTML][HTML] Detection of abnormal photovoltaic systems' operation with minimum data requirements based on Recursive Least Squares algorithms

G Laguna, P Moreno, J Cipriano, G Mor, E Gabaldón… - Solar Energy, 2024 - Elsevier
In the last years, the massive deployment of new photovoltaic (PV) power plants has
launched the connection of PV inverters to the electrical network. A single medium-sized …

[HTML][HTML] Effect of timing of umbilical cord clamping and birth on fetal to neonatal transition: OpenModelica-based virtual simulator-based approach

EH Sepúlveda-Oviedo, LEB Clavijo… - Biocybernetics and …, 2024 - Elsevier
The transition from fetal to newborn condition involves complex physiological adaptations for
extrauterine life. A crucial event in this process is the clamping of the umbilical cord, which …

Solar Panel Fault Detection: Applying Convolutional Neural Network for Advanced Fault Detection in Solar-Hydrogen System at University

SR Joshua, S Park, K Kwon - 2024 IEEE 24th International …, 2024 - ieeexplore.ieee.org
This study uses the Samcheok Campus of Kangwon National University as a case study
inside a solar-hydrogen system to provide a novel method of advanced defect detection in …

[HTML][HTML] Enhancing Solar Power Efficiency: Smart Metering and ANN-Based Production Forecasting

Y Ledmaoui, A El Fahli, A El Maghraoui, A Hamdouchi… - Computers, 2024 - mdpi.com
This paper presents a comprehensive and comparative study of solar energy forecasting in
Morocco, utilizing four machine learning algorithms: Extreme Gradient Boosting (XGBoost) …

Conventional KPCA Approach Applied to Detect Simulated Faults in PV Systems Using Simulated Data

CB Lema, S Perabi Ngoffe, FE Ndi… - International Journal …, 2024 - Wiley Online Library
Photovoltaic (PV) installations have become integral for harnessing solar energy, yet
ensuring uninterrupted power generation remains crucial. This study addresses the …

Progress of Photovoltaic DC Fault Arc Detection Based on VOSviewer Bibliometric Analysis

L Song, C Lu, C Li, Y Xu, L Liu, X Wang - Energies, 2024 - mdpi.com
This paper presents a review of research progress on photovoltaic direct current arc
detection based on VOSviewer bibliometric analysis. This study begins by introducing the …

[HTML][HTML] Research on ultrasound-based radiomics: a bibliometric analysis

L Yu, M Che, X Wu, H Luo - Quantitative Imaging in Medicine …, 2024 - pmc.ncbi.nlm.nih.gov
Background A large number of studies related to ultrasound-based radiomics have been
published in recent years; however, a systematic bibliometric analysis of this topic has not …