Fault detection in solar energy systems: A deep learning approach
ZB Duranay - Electronics, 2023 - mdpi.com
While solar energy holds great significance as a clean and sustainable energy source,
photovoltaic panels serve as the linchpin of this energy conversion process. However …
photovoltaic panels serve as the linchpin of this energy conversion process. However …
Self-supervised learning for hotspot detection and isolation from thermal images
Hotspot detection using thermal imaging has recently become essential in several industrial
applications, such as security applications that require identification of suspicious activities …
applications, such as security applications that require identification of suspicious activities …
Energy Enhancement of Aged Photovoltaic Array Under Hotspot Conditions: A Comparison of Different Interconnection Topologies
Aged photovoltaic panels commonly have hotspots, which can result in large power losses.
In this study, hotspot creation in solar panels is investigated and the reasons for it are …
In this study, hotspot creation in solar panels is investigated and the reasons for it are …
YOLOv9-Based Hotspots Recognition in Solar Photovoltaic Panels: Integrating Image Processing Techniques for Targeted Region Identification
Solar photovoltaic (PV) panels are pivotal in renewable energy generation, yet their efficacy
can be severely hampered by hotspots induced by various factors. This study introduces a …
can be severely hampered by hotspots induced by various factors. This study introduces a …
Review of Deep Learning-Based Hotspot Detection in Solar Photovoltaic Arrays
This review paper conducts a detailed exploration of the burgeoning field that leverages
deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots …
deep learning techniques for hotspot detection in solar photovoltaic (PV) arrays. Hotspots …
DEEP LEARNING METHODS COMPARISON ON IMAGES OF TOMATO AND CUCUMBER LEAF IDENTIFICATION
A Kirnap, MS BİNGÖL, F ŞAHİN - International Journal Science …, 2024 - journal.admi.or.id
Deep learning and image processing applications have become widespread, thanks to
hardware developments and increased processing power. The use of technology in …
hardware developments and increased processing power. The use of technology in …
Photovoltaic Hotspot Detection with Image Classification Deep Learning Techniques
H Hussein - … Conference on Electrical, Energy, and Artificial …, 2023 - ieeexplore.ieee.org
The topic of the current research deals with the early detection of hotspots in photovoltaic
(PV) panels using image classification deep learning (DL) techniques. It is an interesting …
(PV) panels using image classification deep learning (DL) techniques. It is an interesting …
[PDF][PDF] Pneumonia detection on chest x-ray images using residual convolutional neural network
İ Atik - Journal of the Faculty of Engineering and Architecture …, 2024 - researchgate.net
Pneumonia detection on chest x-ray images using residual convolutional neural network Page
1 Journal of the Faculty of Engineering and Architecture of Gazi University 39:3 (2024) …
1 Journal of the Faculty of Engineering and Architecture of Gazi University 39:3 (2024) …
A Thermal Image-based Fault Detection System for Solar Panels
L Koshy, MV Vaishnav, S Sunil… - … on Cybernation and …, 2024 - ieeexplore.ieee.org
The proliferation of solar photovoltaic (PV) systems necessitates efficient strategies for
inspecting and classifying anomalies in endoflife modules, which contain heavy metals …
inspecting and classifying anomalies in endoflife modules, which contain heavy metals …
Artık evrişimli sinir ağı kullanılarak göğüs röntgeni görüntülerinde pnömoni tespiti
İİ Atik - Gazi Üniversitesi Mühendislik Mimarlık Fakültesi …, 2024 - dergipark.org.tr
Pnömoni hastalığı akciğer dokusunun iltihaplanması neticesinde ortaya çıkan bir göğüs
hastalığıdır. Pnömoni her yaşta görülebilmekle birlikte iki yaş altı ve altmış beş yaş üstü …
hastalığıdır. Pnömoni her yaşta görülebilmekle birlikte iki yaş altı ve altmış beş yaş üstü …