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 …
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 …
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 …
electric vehicle charging stations (EVCS) to facilitate ease of use and to support users who …
Advancements in Arc Fault Detection for Electrical Distribution Systems: A Comprehensive Review from Artificial Intelligence Perspective
This comprehensive review paper provides a thorough examination of current
advancements and research in the field of arc fault detection for electrical distribution …
advancements and research in the field of arc fault detection for electrical distribution …
CerviFormer: A pap smear‐based cervical cancer classification method using cross‐attention and latent transformer
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 …
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
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 …
accumulation on PV surface in cold regions. Despite existing methods to assess this impact …
[PDF][PDF] Product Defect Detection Using Deep Learning
V Khemlapure, A Patil, N Chavan, N Mali - Int. J. Intell. Syst. Appl, 2024 - mecs-press.org
To maximize production efficiency, product quality control is paying more attention to the
quick and reliable automated quality visual inspection. Product defect detection is a critical …
quick and reliable automated quality visual inspection. Product defect detection is a critical …
High-resolution solar panel detection in Sfax, Tunisia: A UNet-Based approach
MC Bouaziz, M El Koundi, G Ennine - Renewable Energy, 2024 - Elsevier
This study introduces a comprehensive method to enhance the precision of photovoltaic
(PV) panel segmentation, crucial for the expanding utilization of PV technology in renewable …
(PV) panel segmentation, crucial for the expanding utilization of PV technology in renewable …
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 …
stamped metal parts. The framework aims to address the challenges of low detection …
Artificial intelligence-based blade identification in operational wind turbines through similarity analysis aided drone inspection
Tracking changes in wind turbine blade surface features over time, particularly during
operation, is imperative for the early detection of potential damages. Advances in drone …
operation, is imperative for the early detection of potential damages. Advances in drone …