ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2211.15374
  4. Cited By
Identification of Surface Defects on Solar PV Panels and Wind Turbine
  Blades using Attention based Deep Learning Model

Identification of Surface Defects on Solar PV Panels and Wind Turbine Blades using Attention based Deep Learning Model

23 November 2022
Divyanshi Dwivedi
K. V. S. M. Babu
P. Yemula
Pratyush Chakraborty
M. Pal
ArXivPDFHTML

Papers citing "Identification of Surface Defects on Solar PV Panels and Wind Turbine Blades using Attention based Deep Learning Model"

4 / 4 papers shown
Title
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images
Abhishek Jha
Y. S. Rawat
Shruti Vyas
48
1
0
21 Apr 2024
Comparing Hyper-optimized Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cells
Comparing Hyper-optimized Machine Learning Models for Predicting Efficiency Degradation in Organic Solar Cells
David Valiente
Fernando Rodríguez-Mas
J. Alegre‐Requena
David Dalmau
María Flores
J. Ferrer
18
0
0
29 Mar 2024
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
950
20,572
0
17 Apr 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
206
14,368
0
07 Oct 2016
1