An innovative transformer neural network for fault detection and classification for photovoltaic modules

EA Ramadan, NM Moawad, BA Abouzalm… - Energy Conversion and …, 2024 - Elsevier
Solar energy from photovoltaic systems (PV) ranks as the third greatest renewable electricity
generation resource, expanding quickly through the years as it is free from environmental …

UAV based defect detection and fault diagnosis for static and rotating wind turbine blade: a review

S Zhang, Y He, Y Gu, Y He, H Wang… - Nondestructive …, 2024 - Taylor & Francis
With the continuous development of wind energy resources, wind turbines have become a
crucial element in the field of green energy. However, various malfunctions may occur …

[HTML][HTML] Planning of fast charging infrastructure for electric vehicles in a distribution system and prediction of dynamic price

P Chakraborty, M Pal - International Journal of Electrical Power & Energy …, 2024 - Elsevier
The increasing number of electric vehicles (EVs) has led to the need for installing public
electric vehicle charging stations (EVCS) to facilitate ease of use and to support users who …

Real-time detection of surface cracking defects for large-sized stamped parts

X Dong, C Zhang, J Wang, Y Chen, D Wang - Computers in Industry, 2024 - Elsevier
This study presents a framework for the real-time detection of surface cracking in large-sized
stamped metal parts. The framework aims to address the challenges of low detection …

[HTML][HTML] Enhancing solar plant efficiency: A review of vision-based monitoring and fault detection techniques

I Polymeropoulos, S Bezyrgiannidis, E Vrochidou… - Technologies, 2024 - mdpi.com
Over the last decades, environmental awareness has provoked scientific interest in green
energy, produced, among others, from solar sources. However, for the efficient operation …

CerviFormer: A pap smear‐based cervical cancer classification method using cross‐attention and latent transformer

BS Deo, M Pal, PK Panigrahi… - International Journal of …, 2024 - Wiley Online Library
Cervical cancer is one of the primary causes of death in women. It should be diagnosed
early and treated according to the best medical advice, similar to other diseases, to ensure …

[HTML][HTML] Utilizing deep learning towards real-time snow cover detection and energy loss estimation for solar modules

MT Araji, A Waqas, R Ali - Applied Energy, 2024 - Elsevier
Conversion of solar energy using photovoltaic (PV) panels faces challenges due to snow
accumulation on PV surface in cold regions. Despite existing methods to assess this impact …

Establishing operator trust in machine learning for enhanced reliability and safety in nuclear Power Plants

M Najar, H Wang - Progress in Nuclear Energy, 2024 - Elsevier
The advancement of safety and reliability in Nuclear Power Plants (NPP) is essential for
ensuring the protection of human life, the environment, and the sustainable use of clean …

PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images

A Jha, Y Rawat, S Vyas - arxiv preprint arxiv:2404.13693, 2024 - arxiv.org
Photovoltaic (PV) systems allow us to tap into all abundant solar energy, however they
require regular maintenance for high efficiency and to prevent degradation. Traditional …

[HTML][HTML] Review of state-of-the-art surface defect detection on wind turbine blades through aerial imagery: Challenges and recommendations

I Gohar, WK Yew, A Halimi, J See - Engineering Applications of Artificial …, 2025 - Elsevier
Maintenance is a critical aspect of wind power generation as it not only ensures the efficient
operation of wind turbines, but also their continuous availability and functionality. For wind …